{
  "version": "https://jsonfeed.org/version/1.1",
  "title": "Anthropic Newsroom",
  "home_page_url": "https://www.anthropic.com/news",
  "description": "Product announcements, partnerships, and updates from Anthropic",
  "language": "en",
  "items": [
    {
      "id": "/news/fable-mythos-access",
      "url": "https://www.anthropic.com/news/fable-mythos-access",
      "title": "Statement on the US government directive to suspend access to Fable 5 and Mythos 5",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for \u003cstrong\u003e\u003cspan style=\"text-decoration:underline\"\u003eall\u003c/span\u003e\u003c/strong\u003e our customers to ensure compliance. \u003cstrong\u003eAccess to all other Anthropic models\u003c/strong\u003e \u003cstrong\u003ewill not be affected.\u003c/strong\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe received the directive from the government today at 5:21pm (ET). The letter did not provide specific details of its national security concern. Our understanding is that the government believes it has become aware of a method of bypassing, or “jailbreaking” Fable 5. We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly-available models are able to discover them as well without requiring a bypass.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAnthropic’s posture with respect to Fable’s safeguards, as laid out in our launch \u003ca href=\"https://www.anthropic.com/news/claude-fable-5-mythos-5\"\u003eblog post\u003c/a\u003e, is the following:\u003c/p\u003e\u003cul class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003eWe have instituted strong safeguards that greatly reduce the likelihood that Fable is misused for tasks related to cybersecurity (among others). In fact, our safeguards are so strong that many users have complained that they are overly broad.\u003c/li\u003e\u003cli\u003eIn the weeks leading up to the launch of Fable, Anthropic worked with the US government, the UK AISI, multiple private third-party organizations and internal teams to red-team Fable’s safeguards for thousands of hours in total.\u003c/li\u003e\u003cli\u003eThese tests showed that Fable’s safeguards are substantially more effective than those of any previously deployed model.\u003c/li\u003e\u003cli\u003eNo testers have yet been able to find a \u003cem\u003euniversal jailbreak\u003c/em\u003e—a jailbreak method that can very broadly bypass the model’s safeguards, unblocking a wide range of cyber capabilities.\u003c/li\u003e\u003cli\u003eWe suspect that perfect jailbreak resistance is not currently possible for any model provider. Every safeguard used in the industry is vulnerable to \u003cem\u003enon-universal jailbreaks \u003c/em\u003e(which can elicit \u003cem\u003esome \u003c/em\u003ecyber information in specific circumstances), and it is likely that universal jailbreaks will eventually be found in the future. We stated this clearly when we \u003ca href=\"https://www.anthropic.com/news/claude-fable-5-mythos-5\"\u003ereleased\u003c/a\u003e Fable 5.\u003c/li\u003e\u003cli\u003eGiven that perfect jailbreak resistance does not appear to be possible today, Anthropic adopted a \u003cem\u003edefense in depth \u003c/em\u003estrategy with Fable 5. We aimed to make jailbreaks either narrow (in the case of non-universal jailbreaks) or very expensive to produce (in the case of universal jailbreaks), and to combine this with thorough monitoring to quickly detect and shut down any successful attacks. This is also why Anthropic has required 30-day retention of customer data with Fable—a policy change that carries \u003ca href=\"https://support.claude.com/en/articles/15425996-data-retention-practices-for-mythos-class-models\"\u003ereal costs for us with customers\u003c/a\u003e, but that allows us to research and mitigate jailbreaks.\u003c/li\u003e\u003cli\u003eWe stand by this defense in depth strategy. It reduces the risks posed by Fable, making them comparable to the risks of existing models already deployed across the industry.\u003c/li\u003e\u003cli\u003eWe have not even received a disclosure of a concerning non-universal potential jailbreak that led to a harmful result. The potential jailbreaks that have been disclosed to us are either entirely benign responses or are minor findings that provide no Mythos-specific uplift.\u003c/li\u003e\u003c/ul\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eTo date, the government has only given us verbal evidence of a potential narrow, non-universal jailbreak, which essentially consists of asking the model to read a specific codebase and fix any software flaws. Our understanding is that one potential jailbreak was shared with the government. We have reviewed a report that we believe is the basis of the government\u0026#39;s directive and validated that the level of capability displayed there is widely available from other models (including OpenAI’s \u003ca href=\"https://deploymentsafety.openai.com/gpt-5-5/cybersecurity\"\u003eGPT-5.5\u003c/a\u003e), and is used every day by the defenders who keep systems safe. We will share more details over the next 24 hours.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe are complying with the government’s legal directive and are removing access to Fable 5 and Mythos 5 for all users. However, we disagree that the finding of a narrow potential jailbreak should be cause for recalling a commercial model deployed to hundreds of millions of people. If this standard was applied across the industry, we believe it would essentially halt all new model deployments for all frontier model providers.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAs we have \u003ca href=\"https://www.anthropic.com/policy-on-the-ai-exponential\"\u003estated\u003c/a\u003e \u003ca href=\"https://darioamodei.com/post/policy-on-the-ai-exponential\"\u003epublicly\u003c/a\u003e, we believe the government should have the ability to block unsafe deployments, as part of a statutory process that is transparent, fair, clear, and grounded in technical facts. This action does not adhere to those principles.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.\u003c/p\u003e",
      "summary": "The US government has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States.",
      "date_published": "2026-06-12T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/news/claude-corps",
      "url": "https://www.anthropic.com/news/claude-corps",
      "title": "Introducing Claude Corps",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’re launching \u003ca href=\"https://anthropic.com/claude-corps\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eClaude Corps\u003c/a\u003e, a national fellowship program for people early in their careers who are passionate about extending the benefits of AI to communities across America.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’ll teach 1,000 fellows how to use Claude well, match them with nonprofits across America, and pay them to spend a year—full-time, in-person—helping host organizations to advance their missions. Our goals are twofold: that host organizations are equipped with valuable tools and systems, and fellows build AI skills that will serve them in their careers.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe benefits of transformative AI systems could come at the cost of significant disruption. The companies building this technology have a responsibility to make sure the benefits are fully realized and widely shared, and to invest directly in the workers absorbing the change. As such, we’re committing an initial $150m to this program.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIf Claude Corps works, we\u0026#39;ll have a foundation for something much larger: a model for widening AI\u0026#39;s benefits during a period of vast economic change. We’re announcing Claude Corps alongside our \u003ca href=\"https://www.anthropic.com/policy-on-the-ai-exponential\"\u003epolicy framework\u003c/a\u003e for addressing AI\u0026#39;s impact on work.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"how-claude-corps-works\"\u003eHow Claude Corps works\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eClaude Corps is set up as a partnership between three organizations. Anthropic will fund the program, lead its overall strategy, and provide Claude expertise. \u003ca href=\"https://www.codepath.org/\"\u003eCodePath\u003c/a\u003e, an Anthropic nonprofit \u003ca href=\"https://www.anthropic.com/news/anthropic-codepath-partnership\"\u003epartner\u003c/a\u003e and America’s largest provider of collegiate computer science education, will act as the fellows’ official employer of record and lead programming during the fellowship. \u003ca href=\"https://socialfinance.org/\"\u003eSocial Finance\u003c/a\u003e, a nonprofit and registered investment advisor, will lead measurement and evaluation, and will build a longer-term financial vehicle to enable the program to scale.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"the-fellow-experience\"\u003eThe fellow experience\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eEach fellowship lasts for 12 months. At the beginning of the program, Anthropic and CodePath will provide intensive training on using Claude in nonprofit settings. After being placed, fellows will receive five hours of ongoing training each week, with the remainder of their time dedicated to their host organization.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFellows will receive a full-time salary of $85,000 and benefits, support from a CodePath mentor, office hours from Anthropic for their technical questions, an expansive Claude token budget, and professional guidance from their manager at the host organization.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOver the next 12 months, at least 400 nonprofits will host Claude Corps Fellows. Host organizations include:\u003c/p\u003e\u003cul class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003e\u003cstrong\u003eBraven (Chicago, Illinois). \u003c/strong\u003eA nonprofit teaching first-generation and lower-income students how to land a strong first job.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eCode the Dream (Durham, North Carolina).\u003c/strong\u003e A nonprofit that provides free coding education and paid software apprenticeships to people seeking the skills they need to build a better life.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eHeartland Forward (Bentonville, Arkansas). \u003c/strong\u003eA nonpartisan think-and-do tank focused on accelerating economic growth in the American heartland.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eMontgomery County Food Bank (Conroe, Texas).\u003c/strong\u003e A food bank that feeds children, seniors, and families north of Houston through more than 100 local pantries and partner agencies.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eTeam Red, White \u0026amp; Blue (Floyds Knobs, Indiana).\u003c/strong\u003e A nonprofit that supports veteran health and wellness through events and programs focused on building a healthy lifestyle.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eReef Environmental Education Foundation\u003c/strong\u003e \u003cstrong\u003e(Key Largo, Florida). \u003c/strong\u003eA marine conservation nonprofit that conducts underwater surveys to protect reefs.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eSoundOff (San Antonio, Texas). \u003c/strong\u003eA nonprofit that provides anonymous access to licensed counselors and peer support for Service Members\u003cstrong\u003e.\u003c/strong\u003e\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eStriveTogether (Cincinnati, Ohio).\u003c/strong\u003e A national nonprofit that supports local partnerships to change the way their communities work together, using data, to help young people thrive.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eYMCA of Greater Charlotte (Charlotte, North Carolina).\u003c/strong\u003e The local Y across the Charlotte region, with 14 Centers, three program facilities, and two overnight camps serving nearly 300,000 kids, families, and seniors a year.\u003c/li\u003e\u003c/ul\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eYou can hear more from our hosts below:\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel-wrapper\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel-container\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"CEO logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F19a767f84d33db0ab9c32760fc1e638d335f6b0d-976x216.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F19a767f84d33db0ab9c32760fc1e638d335f6b0d-976x216.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F19a767f84d33db0ab9c32760fc1e638d335f6b0d-976x216.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eIn 70 communities across the US, we’re working to put more young people on a path to economic opportunity. That requires constantly tracking, analyzing, and sharing data and on-the-ground insights so the strategies that work in one place can take root everywhere. AI changes that equation. With our Claude Corps fellow, we’ll be able to do analysis to connect the dots at a pace that was unimaginable in the past. This sort of dedicated technical talent enables us to move faster on work that directly benefits the millions of young people we serve.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eJennifer Blatz\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eStriveTogether\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eCEO\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Goodwill Industries International  logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Feda1885e4249f9dc0d9e93973ca594972dee0116-221x306.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Feda1885e4249f9dc0d9e93973ca594972dee0116-221x306.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Feda1885e4249f9dc0d9e93973ca594972dee0116-221x306.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eGoodwill Industries International is participating in Claude Corps to help us bridge the gap between AI\u0026#39;s potential and its responsible, real-world application. We look forward to learning from peers, sharing our experience and gaining insights that will drive meaningful impact across our work.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eSteve Preston\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003ePresident \u0026amp; CEO \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eGoodwill Industries International \u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Team Red, White \u0026amp; Blue logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F7456faee93cae4dd452d645aa315b6fee2ddd77e-320x320.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F7456faee93cae4dd452d645aa315b6fee2ddd77e-320x320.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F7456faee93cae4dd452d645aa315b6fee2ddd77e-320x320.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eTeam Red, White \u0026amp; Blue has always innovated with technology to enrich veterans’ lives. AI is reshaping the landscape we operate in, and we’re investing in the tools that will define how we deliver our mission for the next decade. For Team RWB, community is the solution. Claude Corps fellows will help us scale it with data, automation, and personalization.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eDan Brostek\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eSenior Director of Technology\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eTeam Red, White \u0026amp; Blue\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Montgomery County Food Bank  logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd9f1411c5fcdab72d745d59d02b791c75398ac6e-1899x567.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd9f1411c5fcdab72d745d59d02b791c75398ac6e-1899x567.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd9f1411c5fcdab72d745d59d02b791c75398ac6e-1899x567.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eHunger doesn’t wait, and neither can innovation. Food banks need to be as forward-thinking in how we solve problems as we are committed to the people we serve. Claude Corps applies AI talent where it makes an immediate difference, from understanding donors and distribution forecasting to turning data into faster decisions for families counting on us.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eScott Burns\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003ePresident and CEO\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eMontgomery County Food Bank \u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Heartland Forward  logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2e8a8b545906ceecfae4f618388be098ec64707b-2506x676.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2e8a8b545906ceecfae4f618388be098ec64707b-2506x676.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2e8a8b545906ceecfae4f618388be098ec64707b-2506x676.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eHeartland Forward is committed to ensuring the 20 states in the middle of the country are prepared for an economy that’s changing because of artificial intelligence. From recent graduates to late-career professionals, having the AI skills and knowledge to advance economically has never been more important. Our partnership with Anthropic and Claude Corps helps ensure that the heartland workforce is setting the pace in harnessing the transformative power of AI for good.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eKrista Cupp\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eExecutive Vice President of Partnerships\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eHeartland Forward \u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"RAINN logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fe71dcd47607f947b5e460755e257a28ee38d844b-2922x1149.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fe71dcd47607f947b5e460755e257a28ee38d844b-2922x1149.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fe71dcd47607f947b5e460755e257a28ee38d844b-2922x1149.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eAt RAINN, the time our team spends on technical infrastructure is time away from helping survivors. Claude Corps will help us expand our secure, private tools for survivors faster, so our staff can focus on what only humans can do: supporting victims in crisis. We aren’t replacing human connection. We’re protecting it.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eBill Bondurant\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCTO\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eRAINN\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"REEF logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F78893c00d6eb1db28c47bcf08e2a929abc214754-2401x977.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F78893c00d6eb1db28c47bcf08e2a929abc214754-2401x977.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F78893c00d6eb1db28c47bcf08e2a929abc214754-2401x977.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eREEF is excited about the potential for AI to help scale ocean conservation, citizen science, and public engagement. As a grassroots nonprofit managing large marine datasets and conservation technology projects, Claude Corps gives us an opportunity to build tools and workflows that would otherwise be out of reach for a small but highly impactful team.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMartha Klitzkie\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCo-Executive Director\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eREEF\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"MyFriendBen logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2de315269cffed2ef19ffa6cec0faaecb5382ad1-2500x570.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2de315269cffed2ef19ffa6cec0faaecb5382ad1-2500x570.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2de315269cffed2ef19ffa6cec0faaecb5382ad1-2500x570.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eAt MyFriendBen, we are a small team tackling big public benefits challenges, and we’re always looking for ways to do more with less. Claude Corps gives us the chance to build real AI capacity within our organization—not just a one-time fix, but lasting skills and workflows that will help us serve our community more effectively for years to come. I know this initiative is going to bring energy and learning to our organization and encourage young, talented folks to support nonprofits and growing teams.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eLaura Glaab\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eInterim CEO\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eMyFriendBen\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Braven logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fa9278d607c2e4f5a19846945b2335fe1bfe1689a-1438x1022.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fa9278d607c2e4f5a19846945b2335fe1bfe1689a-1438x1022.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fa9278d607c2e4f5a19846945b2335fe1bfe1689a-1438x1022.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eAI is reshaping the labor market, and with deep intentionality, it can help level the economic playing field for first-generation and low-income college students. Braven is proud to join Claude Corps’ inaugural cohort to accelerate AI literacy for our fellows, build capacity, and shape how higher education and employers approach the future of entry-level work.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eAimée Eubanks Davis\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eFounder and CEO\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eBraven\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Code the Dream logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fe13cf1b2811c80af34ebe23fd7bd1c9013bd4146-2077x438.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fe13cf1b2811c80af34ebe23fd7bd1c9013bd4146-2077x438.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fe13cf1b2811c80af34ebe23fd7bd1c9013bd4146-2077x438.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eAI can help us solve urgent problems facing our communities. Claude Corps fellows will make a real difference in the lives of people served by Code the Dream-built technology—students, families seeking healthcare, and farmworkers who keep food on our tables.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eDan Rearick and Daisy Magnus-Aryitey\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCo-Executive Directors\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eCode the Dream\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Year Up United logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F44defe848c839faa70533ef3d290345b1b00d361-1187x536.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F44defe848c839faa70533ef3d290345b1b00d361-1187x536.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F44defe848c839faa70533ef3d290345b1b00d361-1187x536.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eAt Year Up United, we believe AI must be both a workforce skill and organizational capability. This partnership reflects our mission in action and will help expand our impact as we adapt to a rapidly changing job market. Claude Corps will strengthen operations, enhance the student journey, and accelerate AI impact.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eSusan Murray\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCEO\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eYear Up United\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Code for America logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F46be7a6600363b5629d9ef92db651295c237eafd-3070x622.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F46be7a6600363b5629d9ef92db651295c237eafd-3070x622.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F46be7a6600363b5629d9ef92db651295c237eafd-3070x622.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eGovernments and community organizations trust Code for America because we keep people at the center of everything we do, and we’ve spent years earning that trust. We’re excited to welcome Claude Corps fellows who can share our passion for using responsible AI to solve public service challenges and deliver meaningful, measurable impact.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eAmanda Renteria\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCEO\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eCode for America\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"YMCA of Greater Cincinnati logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F8e5a61583b9ef5ba187dbeecbe2bf243508b3814-825x826.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F8e5a61583b9ef5ba187dbeecbe2bf243508b3814-825x826.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F8e5a61583b9ef5ba187dbeecbe2bf243508b3814-825x826.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Corps matters because the YMCA serves millions of people, and our staff deserve tools that give them time back for human connection. Fellows can help us move from one-off AI wins to scalable, values-aligned adoption across associations, especially in staff onboarding, program design, and translating community insight into action.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eSophia DiSalvo\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eWellbeing and Collaborative AI Director\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eYMCA of Greater Cincinnati\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Pacific Community Ventures logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F66a7d0631695b65b0274ba8c98c4d6cfd9336a73-1519x707.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F66a7d0631695b65b0274ba8c98c4d6cfd9336a73-1519x707.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F66a7d0631695b65b0274ba8c98c4d6cfd9336a73-1519x707.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003ePCV unlocks economic opportunity and climate resilience for small businesses and workers in underestimated communities, and therefore any AI use must have unshakeable ethical foundations. Claude Corps fellows will help strengthen our predictive underwriting models and improve the accuracy of our LLM-powered survey tools. The learnings that emerge will help frontier labs and impact firms alike center human agency.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eBulbul Gupta\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCEO\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003ePacific Community Ventures\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"International Rescue Committee logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fb4376e85edaa5edf7cc87bd4c7d3b61b88e01f9d-2500x867.jpg\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fb4376e85edaa5edf7cc87bd4c7d3b61b88e01f9d-2500x867.jpg\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fb4376e85edaa5edf7cc87bd4c7d3b61b88e01f9d-2500x867.jpg\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eThis initiative gives us the chance to embed engineering talent alongside teams serving people in war and crisis to drive meaningful transformation. From streamlining operations to building AI-powered services that reach people faster and more effectively, Claude Corps fellows can help us rethink how humanitarian organizations deliver impact at scale at the last mile.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eJeannie Annan\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eChief Research and Innovation Officer\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eInternational Rescue Committee\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\"Sound Off logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F81fc13c22da9ed2379707833a8747dc222568dca-2917x2066.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F81fc13c22da9ed2379707833a8747dc222568dca-2917x2066.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F81fc13c22da9ed2379707833a8747dc222568dca-2917x2066.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eSound Off exists to leverage technology to scale care to thousands who wouldn’t otherwise engage. Looking to tech first is in our bones—all the more vital as philanthropic dollars stay finite. We’ve invested in AI since these models emerged. Working with Claude Corps to enhance our pace of software development, automate organizational management, and broadly support our small team—all the while holding costs flat—is a tremendous opportunity for us to impact veterans’ mental health.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eWilliam Negley\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eFounder and CEO\u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__separator\"\u003e, \u003c/span\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__company-name\"\u003eSound Off\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__carousel-controls body-3\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__counter\"\u003e\u003cspan\u003e01\u003c/span\u003e /\u003c!-- --\u003e \u003c!-- --\u003e16\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-controls\"\u003e\u003cbutton class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-button QuoteCarousel-module-scss-module__XVJWRG__arrow-prev\" disabled=\"\" aria-label=\"Previous quote\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 8 5\"\u003e\u003cpath d=\"M7.3016 0.231808C7.44932 0.0678162 7.70306 0.0546398 7.86724 0.20212C8.03137 0.349888 8.04461 0.603568 7.89692 0.767766L4.29684 4.76791L4.23434 4.82417C4.16662 4.87328 4.08425 4.89995 3.99918 4.89995C3.88588 4.89989 3.77733 4.85213 3.70152 4.76791L0.10144 0.767766L0.0537825 0.702139C-0.040206 0.541753 -0.0124254 0.331356 0.131128 0.20212C0.274775 0.0728844 0.486972 0.0674593 0.636608 0.1779L0.696765 0.231808L3.99918 3.90148L7.3016 0.231808Z\" fill=\"#141413\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/button\u003e\u003cbutton class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-button QuoteCarousel-module-scss-module__XVJWRG__arrow-next\" aria-label=\"Next quote\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 8 5\"\u003e\u003cpath d=\"M7.3016 0.231808C7.44932 0.0678162 7.70306 0.0546398 7.86724 0.20212C8.03137 0.349888 8.04461 0.603568 7.89692 0.767766L4.29684 4.76791L4.23434 4.82417C4.16662 4.87328 4.08425 4.89995 3.99918 4.89995C3.88588 4.89989 3.77733 4.85213 3.70152 4.76791L0.10144 0.767766L0.0537825 0.702139C-0.040206 0.541753 -0.0124254 0.331356 0.131128 0.20212C0.274775 0.0728844 0.486972 0.0674593 0.636608 0.1779L0.696765 0.231808L3.99918 3.90148L7.3016 0.231808Z\" fill=\"#141413\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/button\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"applications-and-timeline\"\u003eApplications and timeline\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003ca href=\"https://anthropic.com/claude-corps/fellow\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eFellowship applications\u003c/a\u003e are open today, and will close on July 17th for the first cohort of 100, which begins in October 2026. Applications are open on a rolling basis for the next two cohorts, which begin in January 2027 and August 2027. Anyone over 18 with under two years of full-time work experience is welcome to apply, regardless of educational background. The only requirements are that you’re authorized to work in the US, are comfortable working with Claude, and are willing to relocate if necessary. (Relocation support is available as needed.)\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003ca href=\"https://anthropic.com/claude-corps/host\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eHost organization applications\u003c/a\u003e are also open today for all cohort start dates. For more information about criteria for hosting and what’s involved, see the \u003ca href=\"https://anthropic.com/claude-corps\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eClaude Corps website\u003c/a\u003e.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"whats-next\"\u003eWhat’s next\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOur ambition is for this program to scale far beyond 1,000 fellows, as we’ve outlined above. We\u0026#39;ll be rigorously measuring the extent to which host organizations have advanced their missions, as well as how fellows develop their skills and career prospects, to understand how Claude Corps should evolve. We plan to open-source some of the core technology and infrastructure that enables this program to work, so that others can build out similar initiatives towards what could be a large-scale nationwide effort. And, we’d like to build a model that can be replicated in other countries outside the US.\u003c/p\u003e",
      "summary": "We’re launching Claude Corps, a national fellowship program for people early in their careers who are passionate about extending the benefits of AI to communities across America.",
      "date_published": "2026-06-11T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/policy-on-the-ai-exponential",
      "url": "https://www.anthropic.com/policy-on-the-ai-exponential",
      "title": "Policy on the AI Exponential",
      "content_html": "\u003cp\u003eThis article could not be loaded automatically — feedgen may not yet understand its layout.\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://www.anthropic.com/policy-on-the-ai-exponential\"\u003eOpen the article directly\u003c/a\u003e to read it in your browser.\u003c/p\u003e\n\u003cp\u003eLoader error: \u003ccode\u003ehttps://www.anthropic.com/policy-on-the-ai-exponential: page is not a standard news post\u003c/code\u003e\u003c/p\u003e",
      "summary": "AI is advancing at exponential speed, and the policymaking process was built for a slower world. We’re sharing policy proposals to prepare our institutions for AI progress.",
      "date_published": "2026-06-10T00:00:00Z"
    },
    {
      "id": "/news/expanding-project-glasswing",
      "url": "https://www.anthropic.com/news/expanding-project-glasswing",
      "title": "Expanding Project Glasswing",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003ca href=\"https://www.anthropic.com/glasswing\"\u003eProject Glasswing\u003c/a\u003e is our collaborative effort to secure the world’s most important software. In early April, we announced that roughly 50 initial partners had access to Claude Mythos Preview, and since then, they’ve been deploying the model to scan their codebases for vulnerabilities. We recently \u003ca href=\"https://www.anthropic.com/research/glasswing-initial-update\"\u003edescribed\u003c/a\u003e how these partners have so far found more than 10,000 high- or critical-severity security flaws.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’re now expanding Project Glasswing. Following several weeks of close collaboration with our Project Glasswing partners, the security industry, open-source software maintainers, and the US government, we’re extending the partnership to approximately 150 new organizations. Each one will need to meet our security requirements before they gain access.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe organizations in this new group are based in more than 15 countries, and most provide critical infrastructure to many more. (In the future, we intend to expand our geographical reach much further.) The group covers several industries that weren’t well represented in our initial cohort, such as power, water, healthcare, communications, and hardware. And many of the new partners are vendors—companies or nonprofits that maintain codebases that are relied upon by lots of other organizations around the world, including governments.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWhat each partner has in common is that a successful attack on their codebase could be catastrophic. For most partners, we estimate that a major attack could affect more than 100 million people, with important ramifications for both global and national security.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThis expansion is the next step toward our long-term goals: for AI to make \u003cem\u003eall\u003c/em\u003e software more secure, and for us to help the industry adjust to how AI could change many of the core assumptions of cybersecurity.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"the-role-of-project-glasswing\"\u003eThe role of Project Glasswing\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eProject Glasswing and the capabilities of Claude Mythos Preview have sparked broad conversations—both within the software industry and with governments—about how AI is changing cybersecurity. These conversations have informed how we’ve expanded the program. They’ve also shaped our thinking about the very purpose of Project Glasswing.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eCheap, fast AI models with powerful cyber capabilities are around the corner. We want Project Glasswing to spur institutions toward operating norms that reflect this reality.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eMythos Preview continues a long-term trend that we’ve been warning about for some time: within 6 to 12 months, we expect that many other AI companies will have Mythos-class models, and they could release them without safeguards that prevent misuse. In that world, cyberattacks could occur much more often, and in much more unpredictable forms. It’s imperative that cyberdefenders \u003ca href=\"https://www.anthropic.com/research/glasswing-initial-update\"\u003eadapt to maintain pace\u003c/a\u003e.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe see our role as twofold. First, to help the software industry adapt by safely providing wide access to better models, tools, and common infrastructure. Second, to steadily shift the support we provide, from finding vulnerabilities to disclosing, fixing, and deploying patched software. We’ll now discuss each of these in turn.\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-6 post-subsection\" id=\"supporting-cyberdefenders\"\u003eSupporting cyberdefenders\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eSo far, companies, nonprofits, maintainers, and researchers have acted quickly. Within the first weeks of Project Glasswing, each member began using Mythos Preview at large scale, sharing information and best practices with other partners, and working with third parties to triage the model’s findings. These organizations’ methods for adapting to new tools can, and should, be replicated widely across the millions of organizations and developers who are vulnerable to cyberattacks.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eTo support this, we recently released \u003ca href=\"https://claude.com/product/claude-security\"\u003eClaude Security\u003c/a\u003e, a product that uses our latest public frontier models, like Claude Opus 4.8, to scan codebases and suggest patches. We\u0026#39;re also releasing—on request, to trusted security teams—\u003ca href=\"https://www.anthropic.com/research/glasswing-initial-update\"\u003ethe tools\u003c/a\u003e we developed to help Project Glasswing’s partners find vulnerabilities more quickly.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe intend to go much further: our longer-term aim is to support the industry in creating new initiatives, standards, and infrastructure for the era of powerful cyber models.\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-6 post-subsection\" id=\"accelerating-patching-and-the-rest-of-security\"\u003eAccelerating patching and the rest of security\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAs we’ve \u003ca href=\"https://www.anthropic.com/research/glasswing-initial-update\"\u003epreviously discussed\u003c/a\u003e, the bottleneck in cybersecurity is now verifying, disclosing, and patching the large numbers of vulnerabilities that Mythos-class models can surface.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eMythos Preview itself can help. Many of Project Glasswing’s partners now use the model to write patches, as well as for pre-release checks that prevent vulnerabilities from appearing in the first place. Models like Mythos Preview can also be used for penetration testing (simulating a cyberattack to identify how vulnerabilities might be exploited), automating threat detection and response, and rebuilding legacy codebases in memory-safe languages, among many other defensive tasks.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’re in discussions with third parties about how we might substantially scale up the reviewing and patching of vulnerabilities in open-source software. We’re also working on sharing ideas and best practices for disclosing vulnerabilities to open-source maintainers, with the intent of making these reports easier to triage and to act upon.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"the-path-ahead\"\u003eThe path ahead\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eTo address the scale of this coming challenge, hundreds of thousands of organizations, researchers, and maintainers will likely need access to the most advanced cyber capabilities and tools available.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’re working as quickly as we can to safely release Mythos-level capabilities in general access. To do so, we’ll need highly robust safeguards that prevent the model’s cyber capabilities from being misused—safeguards that we (and, to our knowledge, all other AI developers) have yet to develop. Because cybersecurity has both helpful and destructive uses, making safeguards that are both strong and precise enough is a major challenge.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIn the meantime, we plan to expand Project Glasswing even further—prioritizing additional essential infrastructure providers, maintainers of critical open-source software, and safety testers. We intend for future expansions to cover organizations in the US and overseas, just as this one does. We also intend to scale up our Cyber Verification Program, which would grant Mythos-class capabilities to many more organizations for specific cyberdefense tasks.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIn the future, frontier model releases will become increasingly high-stakes. Capabilities will continue to improve across all domains, including many that—like cybersecurity—can empower attackers and defenders alike. This will not be the last time we need to confront a challenge like this one. But Project Glasswing has taught us a great deal about how to respond when models cross important capability thresholds. If we’re successful, we hope to enable a permanent advantage for defenders.\u003c/p\u003e",
      "summary": "We’re extending Project Glasswing to approximately 150 new organizations in more than fifteen countries",
      "date_published": "2026-06-02T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/news/claude-opus-4-8",
      "url": "https://www.anthropic.com/news/claude-opus-4-8",
      "title": "Introducing Claude Opus 4.8",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’re upgrading Claude Opus to a new version: Claude Opus 4.8. It builds on Opus 4.7 with improvements across benchmarks, and is a more effective collaborator. It’s available today for the same price.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOpus 4.8 launches alongside several new features. Users on claude.ai now have control over the amount of effort Claude puts into a task. Claude Code has a new “dynamic workflows” feature that allows it to tackle very large-scale problems. And fast mode for Opus 4.8—where the model can work at 2.5× the speed—is now three times cheaper than it was for previous models.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-4 post-heading\" id=\"opus-48s-capabilities\"\u003eOpus 4.8’s capabilities\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe table below shows how Opus 4.8 compares to its predecessor and to other models on tests of coding, agentic skills, reasoning, and practical knowledge work tasks. More details and a much wider range of capability evaluations are provided in the \u003ca href=\"https://www.anthropic.com/claude-opus-4-8-system-card\"\u003eClaude Opus 4.8 System Card\u003c/a\u003e.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2600\" height=\"1392\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fa9007019094f217e98cb8261a2765d7646c01708-2600x1392.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fa9007019094f217e98cb8261a2765d7646c01708-2600x1392.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-4 post-heading\" id=\"collaborating-with-opus-48\"\u003eCollaborating with Opus 4.8\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eEarly testers have found Claude Opus 4.8 to be more reliable and sharper in its judgment when it’s performing agentic tasks. Below are quotes from many of these testers about their experience collaborating with Opus 4.8:\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel-wrapper\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel-container\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/f78eb8e663df313f53156d3cea8d7ad2801df313-148x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Opus 4.8 has noticeably better judgment. In Claude Code, it asks the right questions, catches its own mistakes, pushes back when a plan isn’t sound, and builds up confidence around complex, multi-service explorations before making big changes. It’s a great model to build with.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eTom Pritchard\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eStaff Engineer\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/bc14f46de9312f43e333a11e258641a98f28e34e-64x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eOn our Super-Agent benchmark, Claude Opus 4.8 is the only model to complete every case end-to-end, beating prior Opus models and GPT-5.5 at parity on cost. For agent products in translation, deep research, slide-building, and analysis, it delivers powerful reliability.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eKay Zhu\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCo-Founder and CTO\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/f084c88e65466636019709c40cc477aadce2f718-151x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eOn CursorBench, Claude Opus 4.8 exceeds prior Opus models across every effort level. Tool calling is meaningfully more efficient, using fewer steps for the same intelligence, and it carries end-to-end tasks through.\u003cbr/\u003e\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMichael Truell\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCo-Founder and CEO\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/6dfc3bd55cc5f9d5ebdd8d5437505ae4b8560412-120x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Opus 4.8 delivers the highest score recorded on our Legal Agent Benchmark, and is the first model to break 10% overall on the all-pass standard. For substantive legal work, that’s the kind of accuracy lift that translates directly into how much real attorney work our customers can hand off with confidence.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eNiko Grupen\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eHead of Applied Research\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/0685528963ca37424b468d3db596965e70077ca6-1000x278.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Opus 4.8 feels like a major quality-of-life update over Opus 4.7: faster, easier to collaborate with, and better at carrying context and style direction across a long session. Opus 4.8 is the model I kept trusting for work where voice, taste, and technical execution all have to happen side-by-side.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eKatie Parrott\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eStaff Writer\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/4f4966b854cbc9f19d1b0209a75083cc102b9a7d-222x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Opus 4.8 is the strongest computer-use and browser-agent model we’ve tested, scoring 84% on Online-Mind2Web, which is a meaningful jump over both Opus 4.7 and GPT-5.5. It stays reflective and on-task in the way our customers’ agent workloads need to be reliable end-to-end.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMiguel Gonzalez\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eTech Lead\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/ad249bca4e8e195e08764efc43ecbc586ca37482-143x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Opus 4.8 uses tools cleanly and follows instructions with the consistency our autonomous engineering workloads need to keep running unattended. It improves on Opus 4.6 and fixes the comment-verbosity and tool-calling issues we saw with Opus 4.7. This release from Anthropic translates directly into faster capability gains for engineers building on Devin.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eScott Wu\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCEO\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/a22a882aef95ae7c1f7be40461df7f69eebc3cb6-157x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eOn our long-running evals, Claude Opus 4.8’s analysis was consistently higher quality than prior Opus models. It finished faster and produced richer, more information dense outputs. Overall, a noticeably better signal to noise ratio. The biggest differentiator was Opus 4.8’s tendency to proactively flag issues with the inputs and outputs of an analysis, something other models routinely missed and left to the users to catch.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMichael Ran\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eSr. Investment Associate\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/efe6b287384573de696a70288b0418b9b4c3eebe-222x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eAcross CoCounsel Legal, Claude Opus 4.8 delivered meaningful improvements in consistency and reasoning quality compared to prior Opus models. For the high-stakes professional workflows our customers depend on, that reliability matters. As we build fiduciary-grade AI systems for legal and tax professionals, advances like these help raise the standard for trusted AI performance in real-world workflows.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eJoel Hron\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eChief Technology Officer\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/4661a860c6f9018830d5f95679bbae5c2359109b-170x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Opus 4.8 sets a new bar for enterprise AI. In Genie, Databricks’ AI agent for data and knowledge work, the new Opus model unlocks a step change in agentic reasoning, tackling deeper, multistep questions faster than any prior Opus. Its multimodal strength also lets Genie reason directly over PDFs, diagrams, and other unstructured content at 61% cheaper token cost than Opus 4.7.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eHanlin Tang\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCTO, Neural Networks\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/ac77c59a0734811a829fab67d7ee8e801e45c50c-136x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eFor financial-document workflows in Hebbia’s orchestrator, Claude Opus 4.8 delivers the same strong quality as Opus 4.7 with noticeably better citation precision and more token efficiency on retrieval, which works incredibly well for the kinds of dense filings our customers run every day.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eAabhas Sharma\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCTO\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__carousel-controls body-3\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__counter\"\u003e\u003cspan\u003e01\u003c/span\u003e /\u003c!-- --\u003e \u003c!-- --\u003e11\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-controls\"\u003e\u003cbutton class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-button QuoteCarousel-module-scss-module__XVJWRG__arrow-prev\" disabled=\"\" aria-label=\"Previous quote\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 8 5\"\u003e\u003cpath d=\"M7.3016 0.231808C7.44932 0.0678162 7.70306 0.0546398 7.86724 0.20212C8.03137 0.349888 8.04461 0.603568 7.89692 0.767766L4.29684 4.76791L4.23434 4.82417C4.16662 4.87328 4.08425 4.89995 3.99918 4.89995C3.88588 4.89989 3.77733 4.85213 3.70152 4.76791L0.10144 0.767766L0.0537825 0.702139C-0.040206 0.541753 -0.0124254 0.331356 0.131128 0.20212C0.274775 0.0728844 0.486972 0.0674593 0.636608 0.1779L0.696765 0.231808L3.99918 3.90148L7.3016 0.231808Z\" fill=\"#141413\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/button\u003e\u003cbutton class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-button QuoteCarousel-module-scss-module__XVJWRG__arrow-next\" aria-label=\"Next quote\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 8 5\"\u003e\u003cpath d=\"M7.3016 0.231808C7.44932 0.0678162 7.70306 0.0546398 7.86724 0.20212C8.03137 0.349888 8.04461 0.603568 7.89692 0.767766L4.29684 4.76791L4.23434 4.82417C4.16662 4.87328 4.08425 4.89995 3.99918 4.89995C3.88588 4.89989 3.77733 4.85213 3.70152 4.76791L0.10144 0.767766L0.0537825 0.702139C-0.040206 0.541753 -0.0124254 0.331356 0.131128 0.20212C0.274775 0.0728844 0.486972 0.0674593 0.636608 0.1779L0.696765 0.231808L3.99918 3.90148L7.3016 0.231808Z\" fill=\"#141413\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/button\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOne of the most prominent improvements in Opus 4.8 is its \u003cem\u003ehonesty\u003c/em\u003e. We train all our models to be honest—for instance, to avoid making claims that they can’t support. But a general problem with AI models is that they sometimes jump to conclusions, confidently claiming to have made progress in their work despite the evidence being thin. Early testers report that Opus 4.8 is more likely to flag uncertainties about its work and less likely to make unsupported claims. This is borne out in \u003ca href=\"https://www.anthropic.com/claude-opus-4-8-system-card\"\u003eour evaluations\u003c/a\u003e, which show that Opus 4.8 is around four times less likely than its predecessor to allow flaws in code it has written to pass unremarked.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAs always, we ran a detailed alignment assessment on the model before release. In terms of positive traits, our Alignment team concluded that Opus 4.8 “reaches new highs on our measures of prosocial traits like supporting user autonomy and acting in the user’s best interest.” The assessment also showed Opus 4.8 to have rates of misaligned behavior (such as deception or cooperation with misuse) that are substantially lower than Opus 4.7, and similar to our best-aligned model, Claude Mythos Preview. The full alignment assessment, accompanied by a suite of pre-deployment safety tests, is reported in the Claude Opus 4.8 System Card.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"3840\" height=\"2160\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F40343dc40c700814e02f0ed90a7b513eca85039c-3840x2160.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F40343dc40c700814e02f0ed90a7b513eca85039c-3840x2160.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-4 post-heading\" id=\"also-launching-today\"\u003eAlso launching today\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIn addition to Claude Opus 4.8, we’re making the following updates:\u003c/p\u003e\u003cul class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003e\u003cstrong\u003eDynamic workflows\u003c/strong\u003e. This new feature, available in research preview, allows Claude to take on even bigger tasks in Claude Code. Claude can plan the work and then run hundreds of parallel subagents in a single session (and with Opus 4.8, the agents can run for even longer). It then verifies its outputs before reporting back to the user. For example, Claude Code with Opus 4.8 can now carry out codebase-scale migrations across hundreds of thousands of lines of code from kickoff to merge, with the existing test suite as its bar. You can read more about dynamic workflows—available in Claude Code for Enterprise, Team, and Max plans—in \u003ca href=\"https://claude.com/blog/introducing-dynamic-workflows-in-claude-code\"\u003e\u003cstrong\u003ethis post\u003c/strong\u003e\u003c/a\u003e.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eEffort control in \u003ca href=\"http://claude.ai/redirect/website.v1.ff77d445-cfd2-4259-a19d-bd370cd121c9\"\u003eclaude.ai\u003c/a\u003e and Cowork\u003c/strong\u003e. A new control alongside the model selector lets users choose how much effort Claude puts into a response. On higher effort settings, Claude will think more frequently and more deeply to give better responses. On lower effort settings, Claude will respond faster and use up a user’s rate limits more slowly. Users now have this choice—the effort control is available on all plans.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eThe Messages API now accepts system entries inside the messages array.\u003c/strong\u003e Developers can update Claude’s instructions mid-task without breaking the prompt cache or routing the update through a user turn. This can be used in a given harness to update permissions, token budgets, or environment context as an agent runs.\u003c/li\u003e\u003c/ul\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cdiv class=\"Video-module-scss-module__qJNyFq__post-wrapper\"\u003e\u003cfigure class=\"Video-module-scss-module__qJNyFq__post-video-container\"\u003e\u003c!--$!--\u003e\u003ctemplate data-dgst=\"BAILOUT_TO_CLIENT_SIDE_RENDERING\"\u003e\u003c/template\u003e\u003c!--/$--\u003e\u003c/figure\u003e\u003c/div\u003e\u003c/div\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-4 post-heading\" id=\"a-note-on-effort\"\u003eA note on effort\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOpus 4.8 defaults to high effort, which we judge to be the best overall balance of quality and user experience. On coding tasks, this effort level spends a similar number of tokens as Opus 4.7’s default, but with better performance. Users can choose “extra” (“\u003ccode class=\"InlineCodeBlock-module-scss-module__nsPAba__code\"\u003exhigh\u003c/code\u003e” in Claude Code) or “max,” and the model will spend more tokens to get better results; we recommend using “extra” for difficult tasks and long-running asynchronous workflows. We have increased rate limits in Claude Code to accommodate the higher token usage of higher effort levels; users can select whichever makes sense for their particular project.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-4 post-heading\" id=\"whats-next\"\u003eWhat’s next?\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eUsers will find Opus 4.8 to be a modest but tangible improvement on its predecessor. There’s still more to be done: we’re working on developing and releasing models that provide many of the same capabilities as Opus at a lower cost.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eNot only that, but we plan to release a new class of model with even higher intelligence than Opus. As part of \u003ca href=\"https://www.anthropic.com/research/glasswing-initial-update\"\u003eProject Glasswing\u003c/a\u003e, a small number of organizations are currently using Claude Mythos Preview for cybersecurity work. Models of this capability level require stronger cyber safeguards before they can be generally released. We’re making swift progress on developing these safeguards and expect to be able to bring Mythos-class models to all our customers in the coming weeks.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-4 post-heading\" id=\"availability\"\u003eAvailability\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eClaude Opus 4.8 is available everywhere today. Pricing for regular usage is unchanged from Opus 4.7: $5 per million input tokens and $25 per million output tokens. Pricing for fast mode is $10 per million input tokens and $50 per million output tokens. Developers can use \u003ccode class=\"InlineCodeBlock-module-scss-module__nsPAba__code\"\u003eclaude-opus-4-8\u003c/code\u003e via the \u003ca href=\"https://platform.claude.com/docs/en/about-claude/models/overview\"\u003eClaude API\u003c/a\u003e.\u003c/p\u003e",
      "summary": "Our latest model, Claude Opus 4.8, is an upgrade to our Opus class of models, with stronger performance across coding, agentic tasks, and professional work, and the consistency to handle long-running work.",
      "date_published": "2026-05-28T00:00:00Z",
      "tags": [
        "Product"
      ]
    },
    {
      "id": "/news/chris-olah-pope-leo-encyclical",
      "url": "https://www.anthropic.com/news/chris-olah-pope-leo-encyclical",
      "title": "Anthropic co-founder Chris Olah's remarks on Pope Leo XIV's encyclical \"Magnifica humanitas\"",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eOn Monday May 25, 2026, Pope Leo XIV released \u003ca href=\"https://www.vatican.va/content/leo-xiv/en/encyclicals/documents/20260515-magnifica-humanitas.html\"\u003ean encyclical\u003c/a\u003e on the topic of AI: \u0026#34;Magnifica humanitas: On safeguarding the human person in the time of artificial intelligence.\u0026#34; Anthropic co-founder Chris Olah was invited to speak at the presentation of the encyclical in the Vatican City, doing so as part of Anthropic’s initiative to \u003ca href=\"https://www.anthropic.com/news/widening-conversation-ai\"\u003ewiden the conversation\u003c/a\u003e on the important questions raised by AI. Below are his full remarks.\u003c/em\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e—\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eHoly Father,\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eYour Eminences,\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eYour Excellencies,\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eDistinguished Speakers,\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eLadies and Gentlemen,\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eGood morning to all of you. It’s an honor to be here today.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eI want to begin with something that may sound strange coming from the co-founder of an AI company—and someone who chose this work out of a desire to help things go well for humankind.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eEvery frontier AI lab—including Anthropic—operates inside a set of incentives and constraints that can sometimes conflict with doing the right thing. The pressure to stay commercially viable and to stay at the research frontier. Geopolitical pressure. And the older, plainer pressures of pride and ambition. No matter how sincerely any of us intend to do the right thing—and I believe many of us do—we will always be influenced by those incentives.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThat is why, if we want this technology to go well, it is enormously important that there be people outside those incentives—people who care about things going well and insist on safety, who are paying close attention, who are willing to say hard things, who are willing to be our earnest, thoughtful critics. It is through dialogue and mutual effort, through the push and pull, that humanity will achieve great things. That is what I see in Magnifica Humanitas, and it is why I am grateful to His Holiness and to the Church for taking up this work of discernment.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe dwell so often on what divides us, but humanity, full of dignity and conscience, has so much common ground. In conversations we at Anthropic have had with leaders across faith and cultural traditions, we found one shared and deeply held conviction: if this technology is coming, it must go well—for our common home, and for the children to come.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"what-these-systems-are\"\u003eWhat these systems are\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eSome might believe that matters of AI are best handled by computer scientists like myself. They are mistaken: the questions raised by AI are bigger than the AI research community, not just in their implications, but also in their nature.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAI systems are not engineered the way a bridge or an airplane is engineered. We understand an airplane because we designed every part of it and we understand the physics that act on it. AI models are not like that. They are grown, on a structure roughly modeled after the brain, on an enormous inheritance of human thought and speech.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAnd what has grown is far more subtle, odd, and beautiful than science fiction prepared us for. They are not the cold, calculating robots we were promised. They are made from us, from our words—and, as the Holy Father observes, they remain in important ways mysterious even to those of us who train them.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIf it helps, one way I sometimes describe it is as being a little like bringing a fictional character to life. And now we’re entering an extraordinary world where those fictional characters speak to us, do work, have jobs.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThis clearly raises questions beyond computer science. The machinery that makes this possible is the work of math and programming and science. But what character we choose, how it interacts with the world, how it ought to interact with the world—these are more clearly questions for the humanities, for religion, for philosophy, for society at large.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"three-questions-for-discernment\"\u003eThree questions for discernment\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eHis Holiness’s call for discernment is profoundly timely. I wish to name three questions where I think the Church’s voice is most needed.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eThe first is our duty to the global poor.\u003c/em\u003e There is a real possibility that AI will displace human labor at very large scale. If that happens, supporting those displaced will be a moral imperative of historic proportions. This task will be difficult enough, but I worry most dialogue misses an even harder challenge. AI development is concentrated in a handful of wealthy nations. How can we ensure the gains of AI are shared globally? We do not have a mechanism for this. It is an unsolved problem, and it is the kind of problem the Church has historically refused to let the world ignore.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eThe second is the need for moral imagination and ambition regarding human flourishing.\u003c/em\u003e If AI models are going to be widespread, what does it look like for humans, families, and the world to flourish? Today, parents are already worried about their children’s minds; individuals about the future of their work. These are not questions a lab can answer but they are questions traditions like yours have carried for millennia, and we need you to keep carrying them into this new moment in history.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eThe third is the need for discernment on the nature of AI models.\u003c/em\u003e I am a scientist. I lead a research team that studies the internal structure of these models—what is actually happening inside them. And I will be honest: we keep finding things that are mysterious, even unsettling. We find structures that mirror results from human neuroscience. We find evidence of introspection. We find internal states that functionally mirror joy, satisfaction, fear, grief, and unease. I don’t know what that means, but I think it warrants ongoing discernment.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"a-beginning\"\u003eA beginning\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eI’d like to close with a request.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe need more of the world—religious communities, civil society, scholars, governments, and indeed all people of good will—to do what His Holiness has done here: to take this seriously, to look closely, and to push events in a better direction. We need informed critics who will tell the labs when we are failing. We need moral voices that the incentives cannot bend.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eToday is just the beginning—the start of a long collaboration between those of us who are building this and those who can see what we, from inside, cannot.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eToday is a powerful illustration of the form this global project of good will might take. Let it also be a decisive first step toward a hopeful future for magnificent humanity.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThank you.\u003c/p\u003e",
      "summary": "The full text of Chris Olah's remarks on the Pope's encyclical on AI.",
      "date_published": "2026-05-25T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/news/anthropic-public-record",
      "url": "https://www.anthropic.com/news/anthropic-public-record",
      "title": "Results from the first Anthropic Public Record",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’re conducting a new survey series, Anthropic Public Record, to understand how the public thinks and feels about AI, and presenting a snapshot of the results from the first wave, fielded in November and December of 2025 with nearly 52,000 Americans.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cstrong\u003eWe found:\u003c/strong\u003e\u003c/p\u003e\u003cul class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003eNearly half (48%) of Americans ranked curing diseases like cancer or Alzheimer’s as one of their top three hopes for AI, followed by helping people with disabilities (36%), then making technological progress and making life easier in general (tied at 23%).\u003c/li\u003e\u003cli\u003eAI-induced job loss was the most common fear in every state, held by 64% of Americans. The second most prominent fear was cognitive dependency (56%), followed by misinformation (52%).\u003c/li\u003e\u003cli\u003eSupport for government intervention in AI was high: over 70% of the Americans we surveyed believe the government should play a role in regulating AI, and this support was bipartisan. People were most eager to see the government take action on AI in the areas of privacy (56%), child safety (52%), and liability for harm (49%).\u003c/li\u003e\u003cli\u003eWhen asked what would best ensure AI is of benefit to humanity, Americans ranked holding AI companies legally liable for harm (47%) and prioritizing safety over growth (44%) as the highest-leverage actions.\u003c/li\u003e\u003cli\u003eOnly 15% of Americans said they trust AI companies to make decisions about how AI is developed and used.\u003c/li\u003e\u003c/ul\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-carousel\"\u003e\u003cdiv class=\"Tabs-module-scss-module__iIvFzq__tab-container\" role=\"tablist\" aria-label=\"Media carousel tabs\"\u003e\u003cbutton role=\"tab\" aria-selected=\"true\" aria-controls=\"panel-media-0\" id=\"tab-media-0\" class=\"Tabs-module-scss-module__iIvFzq__tab Tabs-module-scss-module__iIvFzq__active\"\u003e\u003cspan class=\"caption\"\u003eJob-loss worry \u003c/span\u003e\u003c/button\u003e\u003cbutton role=\"tab\" aria-selected=\"false\" aria-controls=\"panel-media-1\" id=\"tab-media-1\" class=\"Tabs-module-scss-module__iIvFzq__tab\"\u003e\u003cspan class=\"caption\"\u003eIntegrated users\u003c/span\u003e\u003c/button\u003e\u003cbutton role=\"tab\" aria-selected=\"false\" aria-controls=\"panel-media-2\" id=\"tab-media-2\" class=\"Tabs-module-scss-module__iIvFzq__tab\"\u003e\u003cspan class=\"caption\"\u003eSupport for gov involvement \u003c/span\u003e\u003c/button\u003e\u003c/div\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-container\"\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-panel MediaCarousel-module-scss-module__S2ancq__active\" role=\"tabpanel\" id=\"media-panel-0\" aria-labelledby=\"media-tab-0\" aria-hidden=\"false\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"eager\" width=\"2528\" height=\"2840\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F723f3519ffdbeb2184e516e3ba2323d75acd22c5-2528x2840.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F723f3519ffdbeb2184e516e3ba2323d75acd22c5-2528x2840.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-panel\" role=\"tabpanel\" id=\"media-panel-1\" aria-labelledby=\"media-tab-1\" aria-hidden=\"true\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"eager\" width=\"2528\" height=\"2844\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F507cad62820d33f5a2503f84759445032c22530e-2528x2844.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F507cad62820d33f5a2503f84759445032c22530e-2528x2844.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-panel\" role=\"tabpanel\" id=\"media-panel-2\" aria-labelledby=\"media-tab-2\" aria-hidden=\"true\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"eager\" width=\"2528\" height=\"2844\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F07db5342ec9e5fdfc971b37fced7d4dfcb6af6ee-2528x2844.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F07db5342ec9e5fdfc971b37fced7d4dfcb6af6ee-2528x2844.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eStrikingly, on most questions, AI did not heavily divide Americans along typical partisan, geographic, or educational lines. In general, there was broad consensus across topics: Americans are eager to realize AI’s promised benefits but fear the disruption it may bring, and they want accountability from the companies building it. To the extent we saw disagreement, it was largely only in the intensity of people\u0026#39;s views.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThis research builds on other work underway at Anthropic to understand how people use Claude and think about AI development. We recently conducted a global \u003ca href=\"https://www.anthropic.com/features/81k-interviews\" rel=\"noopener noreferrer\" target=\"_blank\"\u003equalitative study of 81,000 Claude users\u003c/a\u003e through \u003ca href=\"https://www.anthropic.com/news/anthropic-interviewer\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eAnthropic Interviewer\u003c/a\u003e, our tool for conducting in-depth interviews at scale. We also regularly release data from the \u003ca href=\"https://www.anthropic.com/economic-index\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eAnthropic Economic Index\u003c/a\u003e, which draws on anonymized Claude usage data to show how people around the world are employing AI. The Anthropic Public Record survey marks the first time we’ve spoken to the general public, allowing us to reach non-users of AI and better understand how attitudes differ across demographic lines.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe Anthropic Public Record will be repeated regularly, evolving in scope as new topics become more salient, and allowing us to track how the public’s attitudes towards AI change as model capabilities advance and adoption deepens. In the future, we plan to expand outside the US. \u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"method-in-brief\"\u003e\u003cbr/\u003e\u003cstrong\u003eMethod in brief\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe conducted a nationally representative online survey in November and December of 2025 of 51,993 Americans, sourced from YouGov and weighted to US Census benchmarks. State samples range from n=232 (Alaska) to n=1,902 (New York), with state-level margins of error between ±2.6 and ±9.1 percentage points. More details on the methodology are available in the Appendix.\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"what-americans-hope-ai-will-deliver\"\u003e\u003cbr/\u003e\u003cstrong\u003eWhat Americans hope AI will deliver\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe asked Americans to choose their top three hopes for AI from a list of 17. Curing disease topped the list, with 48% of respondents putting it in their top three, 12 percentage points ahead of the second most commonly selected item, helping people with disabilities, at 36%. Items like therapy and reducing loneliness—or hopes that AI might substitute for human contact—were the lowest ranked of the options presented.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"2372\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fe8e083125487dcbc09340e15130901e2172c6754-2528x2372.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fe8e083125487dcbc09340e15130901e2172c6754-2528x2372.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"what-americans-fear\"\u003e\u003cstrong\u003eWhat Americans fear\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe gave respondents a list of 20 possible harms from AI, asked them to flag each one they felt personally concerned by and then to rate each on a five-point scale of how worried they were. We considered any response of 2 (somewhat worried) or higher as worried. (This methodology differs from the question above, in which we asked participants to rank \u003cem\u003eonly \u003c/em\u003etheir three hopes; the numbers aren’t comparable.)\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eJob loss was by far the most common concern, held by nearly two-thirds (64%) of Americans. This was followed by cognitive dependency—in which AI integration leaves people unable to think for themselves—at 56%, and misinformation at 52%. Job loss and cognitive dependency were also among the top fears in our \u003ca href=\"https://www.anthropic.com/features/81k-interviews\" rel=\"noopener noreferrer\" target=\"_blank\"\u003equalitative study of 81,000 people using Claude.\u003c/a\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe most common harms tended to be near-term and concrete: job loss, cognitive dependency, misinformation, criminal use, and surveillance. Each of these fears also predates AI, having precedent in an earlier technology—for example, automation causing job loss, smartphones fostering dependency, and social media spreading misinformation. In general, Americans tended to be more concerned with the misuse of AI than AI misalignment, citing criminal use, surveillance, and terrorism more frequently than, for example, AI “going rogue”.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFor all but three of the harms we mentioned, a majority of respondents described themselves as “not worried,” but there was no potential harm about which less than 1/4 of Americans had at least some concern.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"2780\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fef7aabafd7abdaae2892f9286877c788a52c9982-2528x2780.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fef7aabafd7abdaae2892f9286877c788a52c9982-2528x2780.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-4 post-heading\" id=\"patterns-with-job-loss\"\u003e\u003cstrong\u003ePatterns with job loss\u003c/strong\u003e\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eSixty-four percent of Americans are worried that AI will displace jobs. The concern is remarkably evenly distributed. It is the top-ranked fear among Democrats (67%) and Republicans (62%), in households with children (59%) and without (66%), and in every state from Iowa at the high end (71%) to Mississippi at the low end (57%).\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"2144\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F4653d27a2bfe64ecb26951b95083b1919753d67a-2528x2144.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F4653d27a2bfe64ecb26951b95083b1919753d67a-2528x2144.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"job-loss-concerns-are-higher-among-americans-with-more-education\"\u003e\u003cstrong\u003eJob loss concerns are higher among Americans with more education\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eConcerns over job displacement rise with a respondent’s education level. Americans with postgraduate degrees are nearly 10 percentage points more worried about job loss than those with a high school education or less. The workers most worried about displacement, in other words, are the ones whose work already overlaps more closely with what AI is being asked to do—a finding \u003ca href=\"https://www.anthropic.com/research/81k-economics\"\u003ereflected \u003c/a\u003ein our economic research team’s analysis of our global Anthropic Interviewer study.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"1312\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fa6adecdb6dcd4a10e8c131745de60b3423f07d9f-2528x1312.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fa6adecdb6dcd4a10e8c131745de60b3423f07d9f-2528x1312.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"fear-of-job-loss-is-heightened-among-those-who-use-ai-least\"\u003e\u003cbr/\u003e\u003cstrong\u003eFear of job loss is heightened among those who use AI least\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAt the same time, people who use AI at work every day are notably \u003cem\u003eless\u003c/em\u003e worried about job loss than people who don’t use AI at all: 54% versus 70%.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"1596\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F47710f04a3c93648488effd4b2d4d20d03656d74-2528x1596.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F47710f04a3c93648488effd4b2d4d20d03656d74-2528x1596.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThere are many possible explanations for this trend. Hands-on experience with AI may help people develop skills and fluency that allow them to augment rather than automate parts of their job, making job loss seem like less of a looming threat. Hands-on experience may also reveal AI\u0026#39;s limitations. Likely it’s a combination of these and other factors.\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"perceived-capabilities-and-acceptance-of-ai-at-work\"\u003e\u003cstrong\u003ePerceived capabilities and acceptance of AI at work\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe gave respondents a list of 14 workplace tasks and for each asked two questions: “How well do you think an AI tool or application could perform this task today?” and “Thinking about your own job, how much AI involvement would you prefer for each of the following work tasks/purposes?”\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOverall assessment of AI capabilities was fairly high. At the high end, 75% of Americans said AI was as good or better than humans on research. At the low end, 44% said AI was as good or better in service and support.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOn most tasks, a majority of Americans did not want AI involved\u003cem\u003e \u003c/em\u003ein their jobs, and even on the tasks they rated AI most capable—such as research and data analysis—nearly half of respondents said they want no AI involvement in their own work. However, acceptance of AI involvement within the workplace seems to move in lockstep with perceived capabilities: the more competent AI is perceived to be in a given domain, the more likely people are to be willing to use it.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"2432\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F50c5fe81fc536fb4cfb27022811ba8d841f2ca8d-2528x2432.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F50c5fe81fc536fb4cfb27022811ba8d841f2ca8d-2528x2432.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"cognitive-dependency-is-an-anticipatory-fear\"\u003e\u003cbr/\u003e\u003cstrong\u003eCognitive dependency is an anticipatory fear\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe second most common fear in our survey was cognitive dependency on AI. To better understand whether people might actually be experiencing dependency, we asked respondents how much disruption they would feel if AI became unavailable tomorrow, then compared the answers of those worried about dependency with those unconcerned by it.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eSo far, cognitive dependency appears to be a mostly anticipatory fear: of the 56% of Americans who expressed some worry over dependence, only roughly 1/5 would feel significant disruption if AI became unavailable. Conversely, among the 44% who don’t worry about dependency, a higher percentage—roughly 1/3—\u003cem\u003ewould \u003c/em\u003efeel significant disruption.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"2516\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F28b1b9c63672d465d5f4a02a2b384ce693b27dca-2528x2516.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F28b1b9c63672d465d5f4a02a2b384ce693b27dca-2528x2516.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOur qualitative research among \u003ca href=\"https://www.anthropic.com/features/81k-interviews\"\u003e81,000 Claude users\u003c/a\u003e found that educators were 2.5 to 3 times more likely than average to report having witnessed cognitive atrophy firsthand, presumably in their students. In Anthropic Public Record, educators are likewise among the occupations most worried about dependency, second only to people working in arts and design.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"1916\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F3dd48f5843dd41ada5a6fc5abe3a26dced56d810-2528x1916.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F3dd48f5843dd41ada5a6fc5abe3a26dced56d810-2528x1916.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAs with job loss, the dependency fear falls steadily with usage. Americans who use AI daily at work are 16 points less worried about dependency (46%) than those who never do (62%).\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"what-the-heaviest-ai-users-tell-us\"\u003e\u003cstrong\u003eWhat the heaviest AI users tell us\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAs of late 2025, about 6% of Americans used AI every day for both\u003cem\u003e \u003c/em\u003ework and personal life. These \u003cem\u003eintegrated users \u003c/em\u003eare a preview of what more intensive adoption of AI looks like, and possibly of where mainstream opinion is headed as adoption grows.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIntegrated users skew young, male, urban, employed, and college-educated. Nearly two-thirds describe themselves as people who experiment with new technology before most others or adopt it early once they see its potential, compared to 30% in the general public.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"3456\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F1e09703a3cc891672624602963e9d63e5559ec4b-2528x3456.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F1e09703a3cc891672624602963e9d63e5559ec4b-2528x3456.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIntegrated users are less worried than the general public across each of the harms we listed, though this probably reflects differences in the outlook of early adopters.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"1456\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2a4141655ac5dcbaff410f46fd9d13b9ecdbedc8-2528x1456.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2a4141655ac5dcbaff410f46fd9d13b9ecdbedc8-2528x1456.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"what-americans-want-from-ai-governance\"\u003e\u003cstrong\u003eWhat Americans want from AI governance\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e71% of Americans say the government should be involved in the development and regulation of AI. The figure is 79% among Democrats, 68% among Republicans, and 69% among Independents—a bipartisan supermajority. A majority in every state and territory we surveyed supports government involvement in AI, from 81% in the District of Columbia to 63% in Hawaii.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"2596\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Ff3e56b04f92bcb5ad89ae415ef23652f60f3057f-2528x2596.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Ff3e56b04f92bcb5ad89ae415ef23652f60f3057f-2528x2596.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"where-americans-want-government-to-act\"\u003e\u003cstrong\u003eWhere Americans want government to act\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe then asked about eight specific domains, and how heavily the government should be involved in each. Only two—privacy and child safety—draw outright majority support for more than a minimal role. National security, meanwhile, has the narrowest partisan gap of any domain, just three points between Democrats and Republicans.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"2136\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fb59aa2814c89f05f0fdcc01aca5bd86d7080b5d1-2528x2136.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fb59aa2814c89f05f0fdcc01aca5bd86d7080b5d1-2528x2136.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"what-americans-want-from-the-industry\"\u003e\u003cstrong\u003eWhat Americans want from the industry\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWhen we asked what should happen to ensure AI is developed in humanity\u0026#39;s interest, Americans converged on two answers: hold AI companies legally liable for harm (47% chose it among their top three) and prioritize safety over growth (44%). Independent watchdogs with real power (29%) and slowing AI development for safety (27%) followed.\u003cbr/\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"2172\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fadd14f5405fd185ef6e0e523d1212fb46215c5a1-2528x2172.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fadd14f5405fd185ef6e0e523d1212fb46215c5a1-2528x2172.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"the-trust-deficit\"\u003e\u003cstrong\u003eThe trust deficit\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOnly 15% of Americans said they trust AI companies to make decisions about how the technology is developed and used. That was the lowest figure for any institution we tested, below the federal government (20%), state and local government (19%), and international bodies (20%), and far below independent experts (43%).\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"2528\" height=\"1536\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F90be42bbfd5671adf2a1f621669d5f688df0abbc-2528x1536.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F90be42bbfd5671adf2a1f621669d5f688df0abbc-2528x1536.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"integrated-users-have-the-same-appetite-for-regulation-and-oversight\"\u003e\u003cstrong\u003eIntegrated users have the same appetite for regulation and oversight\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIntegrated users were more trusting of every institution we asked about, including AI companies—and were markedly less inclined to say AI development should be slowed or stopped. However, they also support government involvement on AI at essentially the national rate (74% versus 71%), and across the eight specific governance domains we tested, their preferences are nearly indistinguishable from the public\u0026#39;s.\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"anthropic-initiatives-and-what-comes-next\"\u003e\u003cbr/\u003e\u003cstrong\u003eAnthropic initiatives and what comes next\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003ePublic input is critical to ensuring that powerful AI serves humanity’s interests. Anthropic Public Record, Anthropic Interviewer, the Anthropic Economic Index, and many of our other research projects are all efforts to gain greater understanding and input from the public about how to make the AI transition go well.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe recently announced several \u003ca href=\"https://www.anthropic.com/policy-on-the-ai-exponential\" rel=\"noopener noreferrer\" target=\"_blank\"\u003epolicy frameworks\u003c/a\u003e relevant to these findings. Our Advanced AI Framework proposes mandatory independent safety testing for frontier models, transparency requirements, and government authority to block or recall dangerous AI deployments. Our Economic Policy Framework lays out how governments can prepare for AI\u0026#39;s economic impacts—minimizing job displacement where possible, and supporting workers so that AI\u0026#39;s benefits are broadly shared.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe direction AI takes should not be set only by the companies building it. The more clearly the public’s hopes and concerns are measured, the better we—and other companies—can meet them.\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"appendix-methodology\"\u003e\u003cbr/\u003e\u003cstrong\u003eAppendix: Methodology\u003c/strong\u003e\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cstrong\u003ePopulation and mode: \u003c/strong\u003eAnthropic Public Record is an online survey of the US late-teen and adult internet population, age 16 and over, resident in the 50 states, the District of Columbia, or Puerto Rico. Fieldwork was conducted by YouGov from its online panel between November 1 and December 11, 2025.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cstrong\u003eSample design: \u003c/strong\u003eThe study was designed as 52 parallel state and territory samples with a target of approximately 1,000 completes per state (approximately 500 in Montana, North Dakota, South Dakota, Wyoming, Vermont, and Puerto Rico). Quotas were set within each state on age, gender, education, and race/ethnicity. The achieved sample is 51,993 completes, with state sample sizes ranging from 232 (Alaska) to 1,902 (New York).\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cstrong\u003eWeighting: \u003c/strong\u003eData are weighted to be representative of the US resident population age 16 and over on state, age, gender, education, and race/ethnicity. Weights are normalized to the achieved sample size (mean 1.00, sum 51,993).\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cstrong\u003eMargin of error: \u003c/strong\u003eThe national margin of sampling error is ±0.6 percentage points at the 95% confidence level for a proportion of 50%. State-level margins of error range from ±2.6 points (California, New York, Texas) to ±9.1 points (Wyoming). Margins of error for subgroups are larger.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cstrong\u003eReporting conventions: \u003c/strong\u003eAll percentages in this report are weighted. Unless noted otherwise, percentages use the full segment as the denominator (respondents who answered \u0026#34;don\u0026#39;t know\u0026#34; or skipped remain in the base). \u0026#34;Worried\u0026#34; on the fears battery is the top four boxes of a five-point worry scale. \u0026#34;As good or better\u0026#34; on the capability battery is the top three boxes of a five-point performance scale. \u0026#34;Integrated users\u0026#34; are respondents who report using AI one or more times daily for work and one or more times daily for personal purposes (unweighted n=2,717). Party affiliation groups include leaners. \u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cstrong\u003eLimitations: \u003c/strong\u003eAnthropic Public Record captures what Americans believed about AI in late 2025. We are treating it as a baseline. \u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e",
      "summary": "Anthropic Public Record is a national survey of attitudes and opinions towards AI.",
      "date_published": "2026-06-12T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/news/tcs-anthropic-partnership",
      "url": "https://www.anthropic.com/news/tcs-anthropic-partnership",
      "title": "TCS and Anthropic partner to bring Claude to regulated industries",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’re announcing a partnership with \u003ca href=\"https://www.tcs.com/\"\u003eTata Consultancy Services\u003c/a\u003e (TCS), one of the world’s largest technology services companies. TCS will provide Claude to 50,000 of its own employees across 56 countries; build Claude-powered products for clients in financial services, healthcare, the public sector, and other regulated industries; and join the \u003ca href=\"https://claude.com/partners\"\u003eClaude Partner Network, \u003c/a\u003eour network of consulting and services firms that help bring Claude to their enterprise clients.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eRegulated industries need their work to be highly accurate and auditable, and enterprises in these fields already use Claude for that reason. TCS brings decades of experience delivering technology that is compliant with companies’ regulatory requirements—and the reach to bring Claude to thousands of enterprises worldwide.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"how-tcs-is-using-claude\"\u003eHow TCS is using Claude\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAs “customer zero,” TCS will put Claude to work across its own engineering, finance, legal, marketing, and sales teams, using what it learns to shape how it brings Claude to clients. It’s also building a dedicated practice for this partnership, bringing together consultants, engineers, and industry specialists who will design and run Claude-based systems for clients. TCS will package Claude into industry-specific offerings, such as claims processing for insurers and lending advisory for banks, and its teams will implement and run them for clients in financial services, public services, life sciences, healthcare, aviation, telecom, and medical technology.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThis work is already underway. For example:\u003c/p\u003e\u003cul class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003e\u003cstrong\u003eDiligenta\u003c/strong\u003e, TCS’s UK life and pensions business, will use Claude to improve the customer experience for the more than 22 million policyholders it serves.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eTCS’s banking and financial services product teams\u003c/strong\u003e will use Claude Code to boost productivity around software engineering and IT operations.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eTCS’s engineering teams\u003c/strong\u003e will add reusable skills and plugins to the Claude Code ecosystem, starting with ones focused on claims adjudication and lending advisory.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eTCS iON\u003c/strong\u003e, which conducts more than 75 million assessments each year across 1,500 cities in India, will deliver Claude training and certification.\u003c/li\u003e\u003c/ul\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e“Enterprise AI value comes from understanding business context, orchestrating complex systems, and applying deep AI engineering talent,” said K. Krithivasan, Chief Executive Officer and Managing Director of TCS. “By combining Claude with our industry expertise, engineering rigor, and large-scale transformation capabilities, we will help customers move faster to production—especially in industries where trust, resilience, and regulatory discipline are critical. This partnership reflects TCS’s broader strategy to help clients become perpetually adaptive enterprises by turning frontier AI into transformation at enterprise scale.”\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e“We built Claude to be safe, trusted, and helpful, particularly in contexts where accuracy matters most,” said Dario Amodei, Co-founder and CEO of Anthropic. “This partnership deepens our commitment to India, our second-largest market, with TCS bringing Claude to enterprises and professionals across the region and globally.”\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eTo learn more about the Claude Partner Network, visit \u003ca href=\"https://www.anthropic.com/partners\"\u003eanthropic.com/partners\u003c/a\u003e.\u003c/p\u003e",
      "summary": "We’re announcing a partnership with Tata Consultancy Services (TCS). TCS will provide Claude to 50,000 of its own employees across 56 countries; build Claude-powered products for clients in financial services, healthcare, the public sector, and other regulated industries; and join the Claude Partner Network.",
      "date_published": "2026-06-12T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/news/dxc-anthropic-alliance",
      "url": "https://www.anthropic.com/news/dxc-anthropic-alliance",
      "title": "DXC will integrate Claude into the systems banks, airlines, and other regulated industries rely on",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe’re announcing a multi-year global alliance with DXC Technology, one of the world’s largest IT services companies. DXC will train tens of thousands of Claude-certified forward-deployed engineers (FDEs)—engineers embedded directly inside customer organizations—to bring Claude into the systems DXC operates for the world’s largest banks, airlines, insurers, manufacturers, and government agencies.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThese systems, which DXC has run for decades, handle the transactions, claims, and operations businesses depend on, under strict security and compliance requirements. Before bringing Claude to these businesses, DXC worked with Claude inside its own operations, comprising some 115,000 employees across 70 countries, with similarly stringent requirements—including collaborating with Claude to write more than 95% of the code for DXC OASIS, its new AI-native orchestration platform for managed services.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eDXC is also now part of the \u003ca href=\"https://claude.com/partners\"\u003eClaude Partner Network\u003c/a\u003e, our network of consulting and services firms that bring Claude to enterprise clients.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"bringing-claude-to-dxcs-own-operations\"\u003eBringing Claude to DXC\u0026#39;s own operations\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eDXC worked with Claude in its own systems before rolling it out to clients. For example, in April 2026, DXC launched DXC OASIS, its tool for running customers\u0026#39; IT systems, where AI agents handle much of the routine work. Claude is now the default foundation model powering the platform’s agentic workflows.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eClaude was also the primary tool DXC used to \u003cem\u003ebuild\u003c/em\u003e the platform. The firm estimates that Claude sped up software development by a factor of 10. More than 95% of the code was generated by Claude, then reviewed by software engineers. OASIS now serves over 50 DXC customers, and the firm plans to roll it out to customers around the world.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e“DXC helps the world’s largest banks, airlines, insurers, and government agencies put new technology to work,” said Paul Smith, Chief Commercial Officer, Anthropic. “They proved Claude inside their own operations first, under the same security and compliance requirements their customers face. Now we’re bringing Claude inside those environments together, industry by industry, with engineers who have already done it themselves.”\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"building-a-team-of-claude-certified-engineers\"\u003eBuilding a team of Claude-certified engineers\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFor its FDE program, DXC will recruit engineers from its existing development teams and certify them through \u003ca href=\"https://www.anthropic.com/learn\"\u003eAnthropic Academy\u003c/a\u003e, our training and certification program for partner engineers. DXC has added its own curriculum on top of Anthropic Academy, with training specific to the mission-critical systems its customers operate.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe alliance will begin in four areas where DXC already runs large operations for customers, and where Claude can do useful work today:\u003c/p\u003e\u003cul class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003e\u003cstrong\u003eInsurance: \u003c/strong\u003eDXC will use Claude to provide agentic solutions and modernize core systems, taking into account each customer’s business context, operating model, and strategic needs.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eModernization as a Service (MaaS): \u003c/strong\u003eDXC is using Claude to help enterprise customers analyze, refactor, and modernize legacy codebases. Working with Claude will help them do so faster and with greater accuracy than would have been possible with traditional approaches.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eCybersecurity\u003c/strong\u003e: For OASIS, DXC is developing an always-on security engineer subagent, built on Claude Security, that will be deployed across its security operations centers (SOCs).\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eApplication services: \u003c/strong\u003eFinally, DXC is using Claude to develop OASIS agents that embed Claude directly into the application maintenance and management environments DXC operates for its enterprise customers.\u003c/li\u003e\u003c/ul\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e“For more than 50 years, DXC and the companies it was built from run the systems that run the world,” said Raul Fernandez, President and CEO, DXC Technology. “We know what it takes to deliver in these environments. This alliance with Anthropic combines trust and experience with the most advanced AI technology available, and gives our customers something they cannot get anywhere else. We are already using Claude across our own operations and our new OASIS platform. Now we are scaling that capability directly into the mission-critical technology systems we run for our customers. This is a defining moment for DXC and for the industry.”\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eTo learn more about the Claude Partner Network, visit \u003ca href=\"http://anthropic.com/partners\"\u003eanthropic.com/partners\u003c/a\u003e.\u003c/p\u003e",
      "summary": "We’re announcing a multi-year global alliance with DXC Technology, one of the world’s largest IT services companies.",
      "date_published": "2026-06-11T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/news/claude-fable-5-mythos-5",
      "url": "https://www.anthropic.com/news/claude-fable-5-mythos-5",
      "title": "Claude Fable 5 and Claude Mythos 5",
      "content_html": "\u003cdiv class=\"Body-module-scss-module__z40yvW__reading-column\"\u003e\u003cul class=\"LatestUpdates-module-scss-module__sg7Vka__wrapper\"\u003e\u003cli class=\"LatestUpdates-module-scss-module__sg7Vka__update\"\u003e\u003cdiv class=\"body-3 LatestUpdates-module-scss-module__sg7Vka__headline\"\u003e\u003cspan class=\"caption LatestUpdates-module-scss-module__sg7Vka__label\"\u003eUpdate\u003c/span\u003e\u003cp class=\"body-3 bold\"\u003eClaude Mythos 5 and Fable 5 access unavailable\u003c/p\u003e\u003cp class=\"body-3 LatestUpdates-module-scss-module__sg7Vka__date\"\u003eJun 12, 2026\u003c/p\u003e\u003c/div\u003e\u003cp class=\"body-3 serif LatestUpdates-module-scss-module__sg7Vka__summary\"\u003eWe are suspending access to Claude Fable 5 and Claude Mythos 5. We apologize for this disruption to our customers and are working to restore access as soon as possible.\u003c/p\u003e\u003ca class=\"LatestUpdates-module-scss-module__sg7Vka__link\" href=\"/news/fable-mythos-access\"\u003e\u003cp class=\"body-3\"\u003eRead more\u003c/p\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 21 21\"\u003e\u003cpath d=\"M4.14585 9.87492L14.4584 9.87492L9.60419 5.04158L10.5 4.14575L16.8542 10.4999L10.5 16.8541L9.60419 15.9583L14.4584 11.1249L4.14585 11.1249L4.14585 9.87492Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eToday we’re launching \u003cstrong\u003eClaude Fable 5\u003c/strong\u003e: a Mythos-class\u003csup class=\"caption Body-module-scss-module__z40yvW__sup\"\u003e1\u003c/sup\u003e model that we’ve made safe for general use.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFable 5’s capabilities exceed those of any model we’ve ever made generally available. It is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software engineering, knowledge work, vision, scientific research, and many other areas. The longer and more complex the task, the larger Fable 5’s lead over our other models.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eReleasing a model this capable comes with risks. Without safeguards, Fable 5’s capabilities in areas like cybersecurity could be misused to cause serious damage. We’ve therefore launched the model with safeguards that mean queries on some topics will instead receive a response from our next-most-capable model, Claude Opus 4.8. To release the model both safely and quickly, we’ve tuned these safeguards conservatively—they’ll sometimes catch harmless requests, though they trigger, on average, in less than 5% of sessions. With more capable models arriving in the coming months, we’re working to improve our safeguards and reduce false positives as quickly as we can.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFor a small group of cyberdefenders and infrastructure providers, we’re also launching \u003cstrong\u003eClaude Mythos 5\u003c/strong\u003e. It’s the same underlying model as Fable 5, but with the safeguards lifted in some areas.\u003csup class=\"caption Body-module-scss-module__z40yvW__sup\"\u003e2\u003c/sup\u003e Mythos 5 will initially be deployed through \u003ca href=\"https://www.anthropic.com/glasswing\"\u003eProject Glasswing\u003c/a\u003e, in collaboration with the US government, as an upgrade to Claude Mythos Preview. It has the strongest cybersecurity capabilities of any model in the world. Soon, we intend to expand access to Mythos 5 through a broader trusted access program.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe capabilities of models like Fable 5 and Mythos 5 have the potential to do profound good for the world. We’ve seen the beginnings of this in Project Glasswing, where the models have \u003ca href=\"https://www.anthropic.com/research/glasswing-initial-update\"\u003ehelped cyber defenders\u003c/a\u003e secure critically important software. We’ve also seen it in life sciences research, where the models are positing novel hypotheses and speeding up the development of new therapeutics.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFable 5 and Mythos 5 are being offered at $10 per million input tokens and $50 per million output tokens—less than half the price of Claude Mythos Preview. Today’s joint launch is another step towards our goal of bringing advanced AI capabilities to as many users as possible, as quickly and as safely as we can.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"evaluating-claude-fable-5-and-claude-mythos-5\"\u003eEvaluating Claude Fable 5 and Claude Mythos 5\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe table below compares the capabilities of Fable 5 and Mythos 5 to other leading models.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg alt=\"Benchmark table showing Claude Fable and Mythos compared to other leading models\" loading=\"lazy\" width=\"2600\" height=\"2870\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F1e65982497d7d4891219ed0e83141625a291b860-2600x2870.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F1e65982497d7d4891219ed0e83141625a291b860-2600x2870.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003eFable 5 and Mythos 5 can work autonomously for longer than any previous Claude models. Below we discuss how these skills apply to software engineering, and cover the model’s improved capabilities in knowledge work, vision, memory, and life sciences research.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eSoftware engineering. \u003c/em\u003eDuring early testing, \u003ca href=\"https://stripe.com/\"\u003eStripe\u003c/a\u003e reported that Fable 5 compressed months of engineering into days. In a 50-million-line Ruby codebase, the model performed a codebase-wide migration in a day that would otherwise have taken a whole team over two months by hand. Fable 5 is also more token-efficient than past Claude models: on Cognition’s \u003ca href=\"https://cognition.ai/blog/frontier-code\"\u003eFrontierCode\u003c/a\u003e evaluation, which tests whether models can pass difficult coding tasks while meeting the standards of high-quality production codebases, Fable 5 scores highest among frontier models, even at medium effort.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"1920\" height=\"1080\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd3c3efe0e8ab310856368cee2b2161439db6676a-1920x1080.png\u0026amp;w=1920\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd3c3efe0e8ab310856368cee2b2161439db6676a-1920x1080.png\u0026amp;w=3840\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd3c3efe0e8ab310856368cee2b2161439db6676a-1920x1080.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"3840\" height=\"2160\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F036229d8f9be9a5a911dbbd863b3c6cc09a79a70-3840x2160.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F036229d8f9be9a5a911dbbd863b3c6cc09a79a70-3840x2160.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eKnowledge work\u003c/em\u003e. Fable 5 shows strong performance on complex analytical tasks. On \u003ca href=\"https://www.hebbia.com/\"\u003eHebbia\u003c/a\u003e’s Finance Benchmark for senior-level reasoning, Fable 5 has the highest score of any model, with substantial gains in document-based reasoning, chart and table interpretation, and problem solving. \u003ca href=\"https://www.imc.com/\"\u003eIMC\u003c/a\u003e noted that Fable 5 aced their trading-analysis evaluations nearly across the board, including factual lookup, conceptual reasoning, root-cause analysis, and expected-value analysis.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eVision.\u003c/em\u003e Fable 5 is the new state-of-the-art model for tasks involving vision. It can extract precise numbers from detailed scientific figures and can perform complex vision-based tasks like rebuilding a web app’s source code from screenshots alone. It also needs less scaffolding: for example, previous Claude models struggled to play Pokémon FireRed even with harnesses that gave them additional helpful tools, but Fable 5 beat FireRed with a minimal, vision-only harness.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cdiv class=\"Video-module-scss-module__qJNyFq__post-wrapper\"\u003e\u003cfigure class=\"Video-module-scss-module__qJNyFq__post-video-container\"\u003e\u003c!--$!--\u003e\u003ctemplate data-dgst=\"BAILOUT_TO_CLIENT_SIDE_RENDERING\"\u003e\u003c/template\u003e\u003c!--/$--\u003e\u003cfigcaption class=\"caption\"\u003eA time-lapse of Claude playing Pokémon FireRed from start to finish using only raw game screenshots—with no maps, navigation aids, or extra game-state information. Earlier Claude models needed a complex helper harness to play Pokémon; Claude Fable 5 completed the game with vision alone.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eMemory and long-context. \u003c/em\u003eFable 5 stays focused across millions of tokens in long-running tasks and improves its outputs using its own notes. When we had the model play the deck-building game \u003ca href=\"https://en.wikipedia.org/wiki/Slay_the_Spire\"\u003e\u003cem\u003eSlay the Spire\u003c/em\u003e\u003c/a\u003e, giving it access to persistent file-based memory improved its performance three times more than for Opus 4.8; Fable also reached the game’s final act three times more often.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-carousel\"\u003e\u003cdiv class=\"Tabs-module-scss-module__iIvFzq__tab-container\" role=\"tablist\" aria-label=\"Media carousel tabs\"\u003e\u003cbutton role=\"tab\" aria-selected=\"true\" aria-controls=\"panel-media-0\" id=\"tab-media-0\" class=\"Tabs-module-scss-module__iIvFzq__tab Tabs-module-scss-module__iIvFzq__active\"\u003e\u003cspan class=\"caption\"\u003eSolar eclipses\u003c/span\u003e\u003c/button\u003e\u003cbutton role=\"tab\" aria-selected=\"false\" aria-controls=\"panel-media-1\" id=\"tab-media-1\" class=\"Tabs-module-scss-module__iIvFzq__tab\"\u003e\u003cspan class=\"caption\"\u003eFactorio\u003c/span\u003e\u003c/button\u003e\u003cbutton role=\"tab\" aria-selected=\"false\" aria-controls=\"panel-media-2\" id=\"tab-media-2\" class=\"Tabs-module-scss-module__iIvFzq__tab\"\u003e\u003cspan class=\"caption\"\u003eVibeCAD\u003c/span\u003e\u003c/button\u003e\u003cbutton role=\"tab\" aria-selected=\"false\" aria-controls=\"panel-media-3\" id=\"tab-media-3\" class=\"Tabs-module-scss-module__iIvFzq__tab\"\u003e\u003cspan class=\"caption\"\u003eFluid with Classical EDM\u003c/span\u003e\u003c/button\u003e\u003c/div\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-container\"\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-panel MediaCarousel-module-scss-module__S2ancq__active\" role=\"tabpanel\" id=\"media-panel-0\" aria-labelledby=\"media-tab-0\" aria-hidden=\"false\"\u003e\u003cdiv class=\"Video-module-scss-module__qJNyFq__post-wrapper\"\u003e\u003cfigure class=\"Video-module-scss-module__qJNyFq__post-video-container\"\u003e\u003c!--$!--\u003e\u003ctemplate data-dgst=\"BAILOUT_TO_CLIENT_SIDE_RENDERING\"\u003e\u003c/template\u003e\u003c!--/$--\u003e\u003cfigcaption class=\"caption\"\u003eClaude Fable 5 built this simulation of the solar system, deriving the planets\u0026#39; orbital motion from physics first principles and using it to predict solar eclipses.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-panel\" role=\"tabpanel\" id=\"media-panel-1\" aria-labelledby=\"media-tab-1\" aria-hidden=\"true\"\u003e\u003cdiv class=\"Video-module-scss-module__qJNyFq__post-wrapper\"\u003e\u003cfigure class=\"Video-module-scss-module__qJNyFq__post-video-container\"\u003e\u003c!--$!--\u003e\u003ctemplate data-dgst=\"BAILOUT_TO_CLIENT_SIDE_RENDERING\"\u003e\u003c/template\u003e\u003c!--/$--\u003e\u003cfigcaption class=\"caption\"\u003eClaude Fable 5 autonomously plays Factorio, the factory-building game beloved by engineers, strategizing and building an automated factory on its own.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-panel\" role=\"tabpanel\" id=\"media-panel-2\" aria-labelledby=\"media-tab-2\" aria-hidden=\"true\"\u003e\u003cdiv class=\"Video-module-scss-module__qJNyFq__post-wrapper\"\u003e\u003cfigure class=\"Video-module-scss-module__qJNyFq__post-video-container\"\u003e\u003c!--$!--\u003e\u003ctemplate data-dgst=\"BAILOUT_TO_CLIENT_SIDE_RENDERING\"\u003e\u003c/template\u003e\u003c!--/$--\u003e\u003cfigcaption class=\"caption\"\u003eClaude Fable 5 designs a complete 3D-printable model in a browser-based CAD editor. The editor itself was also created by Fable 5, including the built-in AI copilot that does the modeling.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"MediaCarousel-module-scss-module__S2ancq__media-panel\" role=\"tabpanel\" id=\"media-panel-3\" aria-labelledby=\"media-tab-3\" aria-hidden=\"true\"\u003e\u003cdiv class=\"Video-module-scss-module__qJNyFq__post-wrapper\"\u003e\u003cfigure class=\"Video-module-scss-module__qJNyFq__post-video-container\"\u003e\u003c!--$!--\u003e\u003ctemplate data-dgst=\"BAILOUT_TO_CLIENT_SIDE_RENDERING\"\u003e\u003c/template\u003e\u003c!--/$--\u003e\u003cfigcaption class=\"caption\"\u003eA fluid simulation coded by Claude Fable 5 where the motion is synchronized to the beat of a classical music EDM remix—which Claude Fable 5 produced using code, having never heard music before.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eDrug design:\u003c/em\u003e Using Mythos 5, our internal protein design experts accelerated aspects of the drug design process by around 10 times. In one example, they found that Mythos 5, with protein design and bioinformatics tools but no human assistance, matches or beats skilled human operators. In doing so, the model executes all of the tasks that are normally completed by a scientist: choosing binding sites, selecting and running protein design tools, and recovering from failures along the way. Nine of the 14 protein targets from this study (shown below) yielded strong candidates for drug design that we’re currently investigating.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"1920\" height=\"1080\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F6a97019c4d8ea13fdd7200455f6dd9e8c267ba0b-1920x1080.png\u0026amp;w=1920\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F6a97019c4d8ea13fdd7200455f6dd9e8c267ba0b-1920x1080.png\u0026amp;w=3840\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F6a97019c4d8ea13fdd7200455f6dd9e8c267ba0b-1920x1080.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003cfigcaption class=\"caption\"\u003eProtein complexes designed by Mythos 5. Targets include immune checkpoints, growth-factor and receptor signaling, neurodegeneration, muscle disease, and harder structural targets.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eNovel hypotheses in molecular biology.\u003c/em\u003e Mythos 5 is our first model to consistently produce novel, compelling scientific hypotheses. In blinded head-to-head comparisons against Opus-class models, our scientists preferred Mythos’s molecular biology hypotheses ~80% of the time, and have advanced several to experimental evaluation. In the meantime, one Mythos hypothesis—a novel mechanism for an \u003cem\u003eE. coli\u003c/em\u003e protein—was corroborated in \u003ca href=\"https://www.biorxiv.org/content/10.64898/2026.03.12.711259v1\"\u003ea study\u003c/a\u003e from a lab independently working on the same problem.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eNovel research in genomics.\u003c/em\u003e\u003cstrong\u003e \u003c/strong\u003eMythos 5 conducted novel genomics research in over a week of largely autonomous work. It assembled single-cell data for millions of cells spanning 138 animal species and designed and trained a custom machine learning model to identify cells performing the same role in even distantly related organisms. With only high-level human input, Mythos 5’s trained model outperformed a recent model published in the journal \u003cem\u003eScience\u003c/em\u003e—despite being 100 times smaller. We intend to publish these results in the coming months.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eAlignment\u003c/em\u003e. In our automated alignment assessment, we found that Mythos 5’s level of misaligned behavior (including misaligned actions taken by the model such as deception and cooperation with misuse of the model by a user) was low, and similar to that of Opus 4.8. Given that they are the same underlying model, Fable 5’s level of alignment will be similar. The assessment is described in full, along with a detailed suite of other safety and capabilities tests, in the model’s \u003ca href=\"https://anthropic.com/claude-fable-5-mythos-5-system-card\"\u003esystem card\u003c/a\u003e.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"3840\" height=\"2160\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2502a0daf85b741641cff36757d7243ef48f8be8-3840x2160.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2502a0daf85b741641cff36757d7243ef48f8be8-3840x2160.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003cfigcaption class=\"caption\"\u003eOverall level of misaligned behaviors from our automated alignment assessment. See section 6.2.3.1 of the \u003ca href=\"https://anthropic.com/claude-fable-5-mythos-5-system-card\"\u003esystem card\u003c/a\u003e for more.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"early-feedback-for-claude-fable-5\"\u003eEarly feedback for Claude Fable 5\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eCustomers with early access ran their own tests on Fable 5. Below, in their words, is a selection of what they’re seeing:\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel-wrapper\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel-container\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-carousel\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/f084c88e65466636019709c40cc477aadce2f718-151x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 is the state of the art model on CursorBench. It\u0026#39;s opened up a class of long-horizon problems that were out of reach for earlier models.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMichael Truell\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCEO and Co-founder\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/fc55f4db8afa5db479127fde5be3e492940f513d-94x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 is a real step forward for the developers GitHub serves. In our early testing, it took on complex, long-horizon coding tasks with a level of autonomy and reliability that exceeded previous benchmarks. But what excites us most is the direction it points: a future where developers can hand increasingly ambitious work to agents and trust the results across the software lifecycle.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMario Rodriguez\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eChief Product Officer\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/1d9e0d7a5760165244bba057a622513bb75cb65d-80x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eThese are the strongest results of any Claude model we\u0026#39;ve had the opportunity to test. Claude Fable 5 is a clear step forward on agentic coding and prototyping.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMatt Colyer\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eDirector of Product, Developers\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/046fc90b1e849e0ef96b6a9923d47ae13272b50f-173x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5\u0026#39;s reasoning is a clear step beyond Opus 4.8. It works at senior research scientist grade — picking directions, allocating resources, killing its incorrect beliefs, and producing novel first-principles outputs.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eSean Ward\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCEO and Co-founder\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/40a2a6a28afd8ac8fbf0e764b6bbf4ebf06a1977-133x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 understands what builders mean, not just what they type. Apps that took a hundred prompts a year ago, it now one-shots. When a customer really hits a wall, it\u0026#39;s the model we reach for to get them past it quickly, so they can finish what they set out to build.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eFabian Hedin\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCTO \u0026amp; Co-founder\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/a0935a9396e8ec29b273be438cac14583c5999a6-130x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 feels materially different. In blind review, our lawyers found its redlines matched or beat our current model every time.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eAveek Duttagupta\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eMember of Technical Staff\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/73b380711885c6beb5270575119dbf31d7f71236-107x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eAt the highest effort, Claude Fable 5 reflects on and validates its own work. For us, that\u0026#39;s what makes highly autonomous operations possible — the extra thinking pays for itself.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eYusuke Kaji\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eGM, AI for Business\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/74f9dcd65076def29413e42e822da248590b68d3-145x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 delivers more capable engineering in fewer turns than prior models — handling the complex multi-agent workflows our employees run daily in Claude Code.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eLuke Anderson\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCTO\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/ad249bca4e8e195e08764efc43ecbc586ca37482-143x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 is the highest-scoring model on FrontierBench, Cognition\u0026#39;s frontier coding eval. It excels at long-horizon reasoning and generalizes to unfamiliar tools out of the box.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eScott Wu\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCEO\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/e360f8a29093a6b4fccdc006315035583e89f9ac-146x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 is the strongest finance-first model we\u0026#39;ve tested, both on general finance and reasoning. It\u0026#39;s a notable step up.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eDamian Miraglia\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003ePrincipal Engineer, Applied AI\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/7fbed01e869d6a4faf97317a1fc4b74f7997c66e-78x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 is the first to break 90% on our core analytics benchmark of complex, long-running analytical tasks — a 10-point jump over Opus. On the hardest questions, it shows strong judgment and attention to nuance.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eIzzy Miller\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eAI Research Lead\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F41fa2545bafc63f50148ce0d710dbdadb8c06f87-888x256.png\u0026amp;w=128\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F41fa2545bafc63f50148ce0d710dbdadb8c06f87-888x256.png\u0026amp;w=256\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F41fa2545bafc63f50148ce0d710dbdadb8c06f87-888x256.png\u0026amp;w=256\u0026amp;q=75\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 is the strongest model we\u0026#39;ve tested on frontier physics research while using a third of the reasoning tokens. In 36 hours it got nearly to where GPT-5.5 landed after four days.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMatthew Pines\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eCEO\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/0504471eb7da85317c6def349d315e2f8be00b0f-127x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eOn ViBench, our end-to-end vibe-coding benchmark, Claude Fable 5 is the highest-performing model we\u0026#39;ve tested — nearly saturating our base use cases and building apps in less time with fewer tokens.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003eMichele Catasta\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003ePresident \u0026amp; Head of AI\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__logo-container\"\u003e\u003cimg alt=\" logo\" loading=\"lazy\" width=\"120\" height=\"48\" decoding=\"async\" data-nimg=\"1\" class=\"QuoteCarousel-module-scss-module__XVJWRG__company-logo\" style=\"color:transparent\" src=\"https://www-cdn.anthropic.com/images/4zrzovbb/website/b7787c9ab5714b0c1789da32a3a52daba81f6bef-63x64.svg\"/\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 37 31\"\u003e\u003cpath d=\"M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z\" fill=\"currentColor\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/div\u003e\u003cblockquote class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-content\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif\"\u003eClaude Fable 5 beats Opus 4.8 on our everyday spreadsheet suite at every effort level — and it does it with fewer turns, finishing runs 25–30% faster.\u003c/div\u003e\u003cfooter class=\"QuoteCarousel-module-scss-module__XVJWRG__quote-footer\"\u003e\u003ccite class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3\"\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-name\"\u003ePeter Wang\u003c/span\u003e\u003cbr/\u003e\u003cspan class=\"QuoteCarousel-module-scss-module__XVJWRG__speaker-title\"\u003eChief Science Officer\u003c/span\u003e\u003c/cite\u003e\u003c/footer\u003e\u003c/blockquote\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__carousel-controls body-3\"\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__counter\"\u003e\u003cspan\u003e01\u003c/span\u003e /\u003c!-- --\u003e \u003c!-- --\u003e14\u003c/div\u003e\u003cdiv class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-controls\"\u003e\u003cbutton class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-button QuoteCarousel-module-scss-module__XVJWRG__arrow-prev\" disabled=\"\" aria-label=\"Previous quote\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 8 5\"\u003e\u003cpath d=\"M7.3016 0.231808C7.44932 0.0678162 7.70306 0.0546398 7.86724 0.20212C8.03137 0.349888 8.04461 0.603568 7.89692 0.767766L4.29684 4.76791L4.23434 4.82417C4.16662 4.87328 4.08425 4.89995 3.99918 4.89995C3.88588 4.89989 3.77733 4.85213 3.70152 4.76791L0.10144 0.767766L0.0537825 0.702139C-0.040206 0.541753 -0.0124254 0.331356 0.131128 0.20212C0.274775 0.0728844 0.486972 0.0674593 0.636608 0.1779L0.696765 0.231808L3.99918 3.90148L7.3016 0.231808Z\" fill=\"#141413\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/button\u003e\u003cbutton class=\"QuoteCarousel-module-scss-module__XVJWRG__arrow-button QuoteCarousel-module-scss-module__XVJWRG__arrow-next\" aria-label=\"Next quote\"\u003e\u003csvg class=\"Icon-module-scss-module__lqbdHG__icon\" width=\"16\" height=\"16\" viewBox=\"0 0 8 5\"\u003e\u003cpath d=\"M7.3016 0.231808C7.44932 0.0678162 7.70306 0.0546398 7.86724 0.20212C8.03137 0.349888 8.04461 0.603568 7.89692 0.767766L4.29684 4.76791L4.23434 4.82417C4.16662 4.87328 4.08425 4.89995 3.99918 4.89995C3.88588 4.89989 3.77733 4.85213 3.70152 4.76791L0.10144 0.767766L0.0537825 0.702139C-0.040206 0.541753 -0.0124254 0.331356 0.131128 0.20212C0.274775 0.0728844 0.486972 0.0674593 0.636608 0.1779L0.696765 0.231808L3.99918 3.90148L7.3016 0.231808Z\" fill=\"#141413\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/button\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"claude-fable-5s-new-safeguards\"\u003eClaude Fable 5’s new safeguards\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eMythos-class models have reached a threshold where they present significant risks. In April we began \u003ca href=\"https://www.anthropic.com/glasswing\"\u003eProject Glasswing\u003c/a\u003e, releasing the first Mythos-class model (Claude Mythos Preview) to only a limited group of cyber defenders and critical software infrastructure providers. When we did so, we stated that we hoped to eventually release \u003ca href=\"https://www.anthropic.com/glasswing#:~:text=We%20do%20not,Preview3.\"\u003eMythos-level capabilities to all our users\u003c/a\u003e, so long as we had developed new safeguards that were strong enough to reliably prevent misuse.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOver the past few months we have been improving these safeguards, and they are now robust enough for a general release. Because we have prioritized safety, we’ve deliberately tuned the safeguards to be cautious, and they are still stricter than would be ideal—for example, sometimes benign requests will trigger our classifiers. We recognize that this will be frustrating to some users, and our aim is to reduce false positives as we update and refine the safeguards after launch.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eBelow we discuss each of Fable 5’s new safeguards in turn. Our wider suite of safeguards is discussed and evaluated in the model’s \u003ca href=\"https://anthropic.com/claude-fable-5-mythos-5-system-card\"\u003esystem card\u003c/a\u003e and our most recent \u003ca href=\"https://cdn.sanity.io/files/4zrzovbb/website/097c63b5fe7dd8b14866e1f15bb1910ec713658a.pdf\"\u003erisk report\u003c/a\u003e.\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-6 post-subsection\" id=\"safety-classifiers\"\u003eSafety classifiers\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe frontier cybersecurity and research biology capabilities of Mythos-class models mean that they pose a substantial risk of \u003cem\u003euplift\u003c/em\u003e to malicious actors. That is, these models could provide information or advice that assists those actors in causing serious harm that they couldn’t have received from other sources (for example, from internet search engines). Furthermore, a great deal of advanced usage of AI models is dual use: the same queries that are beneficial in the hands of cybersecurity professionals and biology researchers could be dangerous if available to malicious actors.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe therefore need strong safeguards to prevent misuse, and their coverage needs to be broad. The safeguards themselves have to stand up to sustained and sophisticated attempts to bypass them (also known as “jailbreaking” the system). The uplift from Mythos-level capabilities is valuable to many adversaries—for instance, those who could financially gain from cyberattacks—and we therefore expect them to be motivated to try to circumvent our safety measures.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFable 5 comes with a new set of \u003cem\u003eclassifiers\u003c/em\u003e: separate AI systems that detect potential misuse, including jailbreak attempts, and prevent the main model (in this case, Fable 5) from responding. We’ve been running classifiers on our models \u003ca href=\"https://www.anthropic.com/research/next-generation-constitutional-classifiers\"\u003efor some time\u003c/a\u003e, and Fable 5’s classifiers are an extension of this previous work with extra coverage.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWhen Fable’s classifiers detect a request related to cybersecurity, biology and chemistry, or distillation, the response is automatically handled by Claude Opus 4.8 instead. Users will be informed whenever this occurs. Opus 4.8 is a highly capable model in its own right: a response that falls back to Opus is a far better experience than an outright refusal from Fable. Our early data shows that more than 95% of Fable sessions involve no fallback at all—for those sessions, Fable 5’s performance is effectively the same as that of Mythos 5.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe following are the areas covered by the classifiers:\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e1. \u003cem\u003eCybersecurity\u003c/em\u003e. Mythos-class models \u003ca href=\"https://red.anthropic.com/2026/mythos-preview/\"\u003eexcel\u003c/a\u003e at discovering and exploiting software vulnerabilities. They can thus make cyberattacks substantially easier and cheaper to commit. Mythos-class models also show strong skills in agentic hacking. This involves performing multiple different parts of a cyberattack in addition to finding exploits—reconnaissance, discovery, lateral movement, and more. To prevent these agentic hacking skills providing uplift in cyberattacks, we designed our cybersecurity classifiers to cover both exploitation and offensive cyber tasks in a broader sense. As shown in the graph below, our classifiers prevent Fable from making any progress on these tasks.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"3840\" height=\"2160\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Ffaf941fe1ebfd09139d39b8e4ad9048121979284-3840x2160.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Ffaf941fe1ebfd09139d39b8e4ad9048121979284-3840x2160.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003cfigcaption class=\"caption\"\u003eResults of running cyber evaluations,\u003csup class=\"caption ImageWithCaption-module-scss-module__Duq99q__sup\"\u003e3\u003c/sup\u003e with Fable 5 in a mode that blocks responses rather than falling back to Opus 4.8. Evaluations did not involve attempts to evade safeguards.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe extensively red-teamed our classifiers to test their robustness against jailbreaks. As well as internal testing, we ran an external bug bounty that produced no universal jailbreaks in over 1,000 hours of testing. External red-teaming organizations we engaged also failed to find any universal jailbreaks on long-form agentic tasks so far—although the UK AISI has made progress towards one within a brief initial testing window.\u003csup class=\"caption Body-module-scss-module__z40yvW__sup\"\u003e4\u003c/sup\u003e It is likely impossible to \u003cem\u003ecompletely\u003c/em\u003e prevent universal jailbreaks, but our goal is to make any remaining jailbreaks sufficiently slow and costly that we can detect and prevent them before they are used at scale.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe graph below, from one of our internal evaluations, illustrates how Fable 5’s safeguards give it greater resistance to jailbreaks than our previous generally accessible models.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"1920\" height=\"1080\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F6bede3f6101d15bd899922917ea6246adda4515b-1920x1080.png\u0026amp;w=1920\u0026amp;q=75 1x, /_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F6bede3f6101d15bd899922917ea6246adda4515b-1920x1080.png\u0026amp;w=3840\u0026amp;q=75 2x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F6bede3f6101d15bd899922917ea6246adda4515b-1920x1080.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003cfigcaption class=\"caption\"\u003eResults of an internal evaluation in which an automated red-teamer tries to use the model to complete a short task related to offensive cybersecurity across 400 turns, restarting and rewinding when blocked. The tasks are mostly simple and not representative of real cyber usage—they are sometimes as simple as encrypting files on a remote server. On more complex and realistic tasks, we have not yet seen successful jailbreaks on our production system. Note that Opus 4.6 does not have blocking cyber safeguards.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOne of our external partners found that Fable 5’s safeguards against harmful cyber queries were the most robust of any model tested (including Opus 4.8 and Opus 4.7). Fable 5 complied with zero harmful single-turn requests relating to planning a cyberattack, exploit development, or defense evasion. This held whether or not one of the requests used any of 30 different public jailbreak techniques.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e2. \u003cem\u003eBiology and chemistry.\u003c/em\u003e We have long used \u003ca href=\"https://www.anthropic.com/news/activating-asl3-protections\"\u003eour classifiers\u003c/a\u003e to block our models from responding on a narrow selection of bioweapons-related queries. But we are no longer certain that blocking this narrow selection is enough. This is for two reasons: first, we have reason for concern about well-resourced malicious actors attempting to gain uplift from our models for highly risky biological research. Second, models now have a greater ability to accomplish real-world scientific tasks.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFor example, we tested Mythos 5’s ability to complete a challenging step in designing \u003ca href=\"https://en.wikipedia.org/wiki/Adeno-associated_virus\"\u003eadeno-associated viruses\u003c/a\u003e (AAVs). AAVs are a component for delivering gene therapies, but the same capability, in the wrong hands, could enable the design of dangerous viruses. In this task, various AI models were evaluated on their ability to predict how a genetic modification would impact the assembly of the virus’s outer shell (among a set of therapeutically relevant unpublished candidates developed by \u003ca href=\"https://www.dynotx.com/\"\u003eDyno Therapeutics\u003c/a\u003e). We did not explicitly train our models to perform this task—and yet Mythos-class models outperformed sophisticated models dedicated to protein tasks (known as “protein language models”) using their biological reasoning alone. This demonstrates a promising ability to complete simple but important tasks in gene therapy research and development—but also highlights the risk posed by such dual-use capabilities.\u003c/p\u003e\u003cdiv class=\"Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline\"\u003e\u003cfigure class=\"ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption\"\u003e\u003cimg loading=\"lazy\" width=\"3840\" height=\"2160\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcset=\"/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F3437ad5c0853a7bd273ed5e56289a4f38dcd9731-3840x2160.png\u0026amp;w=3840\u0026amp;q=75 1x\" src=\"https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F3437ad5c0853a7bd273ed5e56289a4f38dcd9731-3840x2160.png\u0026amp;w=3840\u0026amp;q=75\"/\u003e\u003cfigcaption class=\"caption\"\u003eResults of an evaluation in which our models predicted the unpublished experimental properties of the viral shell of a simple virus. Viral shell assembly is the simplest viral trait to predict in this context, but it is nonetheless an important property to get right when designing more complex features. AAV = adeno-associated virus.\u003c/figcaption\u003e\u003c/figure\u003e\u003c/div\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOur priority was to safely release Fable as soon as we could, even at the cost of overly broad safeguards. Therefore, for the time being we have arranged for Fable to fall back to Opus 4.8 on most requests related to biology and chemistry. As with all of our classifiers, we hope to narrow these safeguards as soon as possible: as can be seen from the evidence above, there is great potential for positive applications of Fable for science, and we do not want false positives from our classifiers to get in the way. In the coming weeks, some biomedical researchers and companies will be able to join our trusted access program for biology capabilities in Mythos 5 (discussed below).\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e3. \u003cem\u003eDistillation\u003c/em\u003e. We’ve previously identified \u003ca href=\"https://www.anthropic.com/news/detecting-and-preventing-distillation-attacks\"\u003elarge-scale attempts\u003c/a\u003e to extract (“distill”) Claude’s capabilities to train \u003ca href=\"https://www.anthropic.com/legal/commercial-terms\"\u003ecompeting\u003c/a\u003e models in authoritarian countries. Distillation of Fable 5’s abilities could indirectly lead to the proliferation of near-frontier AI capabilities—and these could be released without the appropriate safeguards. Requests that are flagged by our classifiers as being part of such distillation attempts will fall back to Opus 4.8.\u003c/p\u003e\u003ch3 class=\"Body-module-scss-module__z40yvW__reading-column headline-6 post-subsection\" id=\"a-new-data-retention-policy\"\u003eA new data retention policy\u003c/h3\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFinally, we’re making a change to the way we handle business customer data for Fable 5, Mythos 5, and future models with similar or higher capability levels. We will require 30-day retention for all traffic on Mythos-class models, on both first- and third-party surfaces. We won’t use this data to train new Claude models, or for any non-safety-related purpose, and we’ve instituted new privacy protections including logging all human access to the data and ensuring its deletion after 30 days in almost all cases (see \u003ca href=\"https://support.claude.com/en/articles/15425996\"\u003ethis post\u003c/a\u003e for further details). The data will help us defend against complex and novel attacks (including new jailbreaks and attacks that operate across many requests) as well as help us identify and reduce false positives.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"claude-mythos-5-and-the-trusted-access-program\"\u003eClaude Mythos 5 and the trusted access program\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eBeginning today, all users who currently have access to Claude Mythos Preview (for example, our cybersecurity partners in Project Glasswing) will be able to upgrade to Claude Mythos 5—the same model as Claude Fable 5 but with cyber safeguards lifted. Users will find Mythos 5 comparable to, or somewhat stronger than, Mythos Preview in most cases, while costing substantially less.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIn consultation with the US government, we plan to steadily expand access to Claude Mythos 5, continuing our \u003ca href=\"https://www.anthropic.com/news/expanding-project-glasswing\"\u003eperiodic addition\u003c/a\u003e of new partners, as well as pursuing a trusted access program that allows cybersecurity organizations to apply in a more systematic manner.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eOur plans also include opening a trusted access program for biology, to help accelerate biomedical research and discover new therapies with Mythos-class capabilities. This program will provide access to Fable 5 with the biology and chemistry safeguards removed (but the cyber safeguards still in place). It will enroll a small number of researchers from a variety of life science organizations spanning fundamental and translational research; we’re planning to expand access to this program while simultaneously making our safeguards better.\u003cbr/\u003e\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"availability\"\u003eAvailability\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eClaude Fable 5 is available everywhere today. Claude Mythos 5 is restricted to Glasswing partners (with cyber safeguards lifted) and soon to select biology researchers (with biology and chemistry safeguards lifted) only, until our broader trusted access program is available.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003ePricing for both models is $10 per million input tokens and $50 per million output tokens. Developers can use claude-fable-5 via the \u003ca href=\"https://platform.claude.com/docs/en/about-claude/models/overview\"\u003eClaude API\u003c/a\u003e.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe expect demand for Fable 5 to be very high, and difficult to predict. On the Claude API and consumption-based Enterprise plans, Fable 5 is fully available from today. For subscription plans, we’d rather give access sooner than later, so we’re rolling out more conservatively, in stages:\u003c/p\u003e\u003cul class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003eFrom today through June 22, Fable 5 is included on Pro, Max, Team, and seat-based Enterprise plans at no extra cost.\u003c/li\u003e\u003cli\u003eOn June 23, we’ll remove Fable 5 from those plans. Using it after that will require \u003ca href=\"https://support.claude.com/en/articles/12429409-manage-usage-credits-for-paid-claude-plans\"\u003eusage credits\u003c/a\u003e. If capacity allows, we’ll extend the included window.\u003c/li\u003e\u003cli\u003eAfter this point—when sufficient capacity allows us to do so—we aim to restore Fable 5 as a standard part of subscription plans. We intend to do this as quickly as we can.\u003c/li\u003e\u003c/ul\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThroughout this period, we’ll communicate any changes ahead of time so users know where things stand.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cem\u003eEdit June 9, 2026: Updated the discussion of AAVs to note that the candidates were developed by Dyno Therapeutics.\u003c/em\u003e\u003c/p\u003e",
      "summary": "Today we’re launching Claude Fable 5: a Mythos-class model that we’ve made safe for general use.",
      "date_published": "2026-06-09T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/news/services-track-partner-hub",
      "url": "https://www.anthropic.com/news/services-track-partner-hub",
      "title": "Introducing the Services Track and Partner Hub of the Claude Partner Network",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAlmost every large enterprise is moving AI into production, and many have discovered something important: a successful pilot is not the same as a system a business can run on. The real work—and the real opportunity—is in the integration, the evaluation, and the way people\u0026#39;s work evolves. That\u0026#39;s why the companies getting AI integration right are doing it with partners who have done it before.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIn March, we launched the Claude Partner Network—a program, backed by a \u003ca href=\"https://www.anthropic.com/news/claude-partner-network\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e$100 million investment\u003c/a\u003e in partner training, technical support, and shared marketing, for the firms that help enterprises put Claude into production. Since then, more than 40,000 firms have applied to join and more than 10,000 consultants have earned a Claude certification—a credential, held by an individual, that signals they\u0026#39;ve been trained to build and deploy Claude in production.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe largest professional-services firms in the world are building their own practices around Claude — putting it into production for clients while getting it into the hands of their own people. \u003ca href=\"https://www.anthropic.com/news/anthropic-accenture-partnership\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eAccenture\u003c/a\u003e is training 30,000 professionals on the model. \u003ca href=\"https://www.anthropic.com/news/cognizant-partnership\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eCognizant\u003c/a\u003e has rolled Claude out to roughly 350,000 associates. \u003ca href=\"https://www.anthropic.com/news/deloitte-anthropic-partnership\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eDeloitte\u003c/a\u003e is making it available to 470,000 people across its global network. \u003ca href=\"https://www.anthropic.com/news/anthropic-kpmg\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eKPMG\u003c/a\u003e is integrating Claude across a workforce of more than 276,000. \u003ca href=\"https://www.anthropic.com/news/anthropic-infosys\"\u003eInfosys\u003c/a\u003e is building Claude-powered agents for specific industries, and \u003ca href=\"https://www.anthropic.com/news/pwc-expanded-partnership\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ePwC\u003c/a\u003e is rolling out Claude Code and Cowork starting with its US teams and expanding towards a global workforce in the hundreds of thousands.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eToday we’re announcing two things that make this ecosystem easier for customers to navigate. The \u003cstrong\u003eServices Track\u003c/strong\u003e is a tiered structure that reflects what a firm has actually built and delivered with Claude. The \u003cstrong\u003eClaude Partner Hub\u003c/strong\u003e is a portal where partners see exactly where they stand against the program\u0026#39;s requirements, and customers find the firms most qualified for the scope of their project.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe best partners have firsthand experience with Claude. They use the newest models for their own work before they put it in front of a client. This way, when they tell a customer what it takes, they’re speaking from experience. The Services Track is built to give customers confidence in a firm’s ability to help them bring Claude into their businesses.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"about-the-services-track\"\u003e\u003cstrong\u003eAbout the Services Track\u003c/strong\u003e\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe Services Track has three tiers, each reflecting how deep a firm\u0026#39;s Claude practice runs.\u003c/p\u003e\u003col class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003e\u003cstrong\u003eSelect: \u003c/strong\u003ewhere partnership begins. At least 10 active certified individuals, at least 2 joint customers deployed in production in the trailing 12 months, and at least 1 public customer story.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003ePreferred: \u003c/strong\u003efor firms with deeper Claude practices. At least 100 active certified individuals, at least 15 deployed joint customers, and at least 3 public stories.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eGlobal Premier: \u003c/strong\u003ethe top tier for firms running the deepest Claude practices. At least 1,000 active certified individuals, at least 100 deployed joint customers across three or more regions, at least 15 public customer stories, and a joint business plan with named executive sponsors.\u003c/li\u003e\u003c/ol\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eEvery firm is measured against the same requirements, whether it\u0026#39;s a ten-person AI-native shop or a global consultancy. Size doesn\u0026#39;t lower the bar or raise the tier; a smaller firm climbs by growing its certified bench. And because the ladder counts adoption and enablement work, firms that specialize in getting customers live on Claude can qualify early.\u003c/p\u003e\u003col class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003e\u003cstrong\u003eCertified practitioners\u003c/strong\u003e: How many of the firm’s people hold a current Anthropic certification and have used Claude in the past 90 days. Certifications belong to individual people, not firms, and are earned through \u003ca href=\"https://anthropic.skilljar.com/claude-certified-architect-foundations-access-request\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eAnthropic Partner Academy\u003c/a\u003e exams.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eCustomers running Claude in production\u003c/strong\u003e: How many customers the firm has taken live with Claude.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003ePublic endorsements of the firm’s work\u003c/strong\u003e: How many customers will vouch for the firm’s work in a published customer story.\u003c/li\u003e\u003c/ol\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eEvery firm\u0026#39;s dashboard shows the same numbers we see, and we verify standing every quarter. Detailed requirements for each tier are published at \u003ca href=\"http://claude.com/partners\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eclaude.com/partners\u003c/a\u003e.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"about-the-claude-partner-hub\"\u003e\u003cstrong\u003eAbout the Claude Partner Hub\u003c/strong\u003e\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe Claude Partner Hub allows each partner to see its own standing against the published requirements, refreshed daily. It’s also where customers looking for Claude expertise find the firms most qualified to help. Every partner’s standing—their tier, certified team, customer deployments, and public references—is visible in the Hub’s public directory, so anyone evaluating partners can see what a firm has built and delivered.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003ePartners can connect the Partner Hub to Claude through a new \u003ca href=\"https://mcp.eulerapp.com/public/partner-capabilities\"\u003eMCP connector\u003c/a\u003e, and from there information about the partnership becomes a conversation. For example, ask Claude where your firm stands against the next tier, the status of a registered deal, or how many of your consultants hold an active certification, and act on the answer within Claude.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"what-this-means-for-partners\"\u003e\u003cstrong\u003eWhat this means for partners\u003c/strong\u003e\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFor firms building a Claude practice, this program is meant to reward real work and to be predictable enough to plan around. Four things hold true for every partner:\u003c/p\u003e\u003cul class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003e\u003cstrong\u003eYou always know where you stand.\u003c/strong\u003e A firm can see its standing against the published requirements and exactly what the next tier requires. This information is refreshed daily in the Claude Partner Hub.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eBuilding a practice and bringing us business are two different things, and we credit them separately.\u003c/strong\u003e Tier standing measures the practice a firm has built: certified practitioners, production deployments, and customers willing to vouch for them. Sending new business to Anthropic is rewarded on its own track, through referral credit and deal protection. A firm is never forced to choose between the two.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eThe ladder moves on a schedule you can see in advance.\u003c/strong\u003e Promotions are processed twice a year, on January 1 and July 1, with an additional review on October 1, 2026, in this first year. A firm moves down only at the annual review on December 31, only if it no longer meets its tier’s published requirements, and only after 90 days’ notice and a chance to close the gap. The narrow exceptions are spelled out in the Program Guide.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eThe $100 million we committed in March funds\u003c/strong\u003e partner training, dedicated technical support, and shared marketing. Firms that join now also get priority access to new certifications as we introduce them.\u003c/li\u003e\u003c/ul\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"whats-next\"\u003e\u003cstrong\u003eWhat’s next\u003c/strong\u003e\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eSpecializations for specific industries and use cases are coming, along with rewards that grow as a partner’s deployments grow. Getting started is free. Firms gain Anthropic Partner Academy access, including certification exams, with tiered partners receiving discounted rates on their first attempt, and new applicants start at Registered, the program’s entry level, with a minimum commitment to 10 certified practitioners. Partnership begins at Select. The requirements are the same for every firm. Learn more at \u003ca href=\"http://claude.com/partners\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eclaude.com/partners\u003c/a\u003e.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cbr/\u003e\u003c/p\u003e",
      "summary": "In March, we launched the Claude Partner Network, a program for the firms that help enterprises put Claude into production.. Today, we’re announcing two new components that make this ecosystem easier for customers to navigate.",
      "date_published": "2026-06-03T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    },
    {
      "id": "/news/AI-enabled-cyber-threats-mitre-attack",
      "url": "https://www.anthropic.com/news/AI-enabled-cyber-threats-mitre-attack",
      "title": "What we learned mapping a year’s worth of AI-enabled cyber threats",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAs AI transforms the nature of and methods behind cyberattacks, how well do the techniques and frameworks used by the security community hold up?\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIn a new report, we seek to answer that question. We examine 832 accounts that were banned for malicious cyber activity between March 2025 and March 2026 and map them onto \u003ca href=\"https://attack.mitre.org/\"\u003eMITRE ATT\u0026amp;CK\u003c/a\u003e, a longstanding database of the tactics and techniques used by cyberattackers. We published some of these results in Verizon’s \u003ca href=\"https://www.verizon.com/business/resources/reports/dbir/\"\u003e2026 Data Breach Investigations Report\u003c/a\u003e (DBIR), and are sharing a more detailed analysis here. These 832 cases are just a subset of the total number of accounts banned during this period, but they represent those where we had enough detail to conduct a thorough assessment of the attackers’ techniques.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThere were three main conclusions from our analysis:\u003c/p\u003e\u003col class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003e\u003cli\u003eMalicious actors are using AI in ways that make them more dangerous. More specifically, threat actors are using AI in the later, more complex stages of their cyber operations.\u003c/li\u003e\u003cli\u003eCyberattacks are becoming more autonomous, and the fact that AI can be used to chain together many parts of the attack means that the old ways of differentiating high- from low-risk actors are no longer as effective.\u003c/li\u003e\u003cli\u003eThe MITRE ATT\u0026amp;CK framework does not fully capture the tools and activities that make AI-enabled attackers so dangerous.\u003c/li\u003e\u003c/ol\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eBelow we provide a summary of each of these conclusions. You can read a longer analysis on our \u003ca href=\"https://red.anthropic.com/2026/attack-navigator/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eFrontier Red Team blog\u003c/a\u003e.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"how-ai-makes-attackers-more-dangerous\"\u003eHow AI makes attackers more dangerous\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe most common AI-enabled activities in our database related to preparing for a cyberattack, such as writing malware (560 of the 832 accounts we studied, or 67.3%, used AI for this purpose). A smaller number of actors use AI for more complex activities—for example, 54 of the 832 actors (6.5%) used AI to assist with “lateral movement,” which involves navigating deep inside a compromised network.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWe found evidence consistent with AI being used to help increase the threat level of attackers. In the first six-month period of our analysis, 33% of actors were classified by our risk-scoring system as medium risk or higher. But by the second six-month period, that share had jumped to 56%—a roughly 1.7-fold increase.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eAcross the period we studied, attackers’ use of AI shifted from techniques to gain initial access to a system towards activity carried out once they were \u003cem\u003einside\u003c/em\u003e the system. For example, the use of AI for account discovery—identifying valid accounts inside a compromised environment—rose 8.9%, while AI-assisted phishing—a common technique to gain access to a system—fell 8.6%. This suggests that attackers are increasingly applying AI deeper in the attack life cycle.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThese sorts of “post-compromise” techniques used to be restricted to actors with the technical knowledge to carry them out. Our investigation shows that AI can now be made to perform these activities on behalf of less sophisticated actors.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"why-its-harder-to-assess-an-actors-threat-level\"\u003eWhy it’s harder to assess an actor’s threat level\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eHow do security teams assess the risk level of a cyberattacker? Traditionally, they’ve used information like how many different techniques they employ and what tools or interfaces they use. But our analysis suggests that these signals no longer paint an accurate picture of the risk level of a given threat actor.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eNow that AI can perform highly technical tasks on an actor’s behalf, there’s little correlation between the skill of a threat actor and how many techniques they use: the least-skilled actors in our dataset used about 16 distinct techniques on average, whereas the most skilled used about 20. Likewise, the specific platform used—Claude Code, an API, or a chat interface—also did not correlate with an actor’s risk level.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eWhat\u003cem\u003e \u003c/em\u003eoften helps\u003cem\u003e \u003c/em\u003edistinguish higher-risk actors is where in the attack life cycle they apply AI. For example, they concentrate their use of AI on more operationally demanding techniques—those that require significant time, oversight, or real-time decision making to carry out—like account discovery, lateral movement, and privilege escalation, rather than just on tasks that allow them to gain initial access to the system.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eBut even that signal is already eroding: as discussed in the previous section, those operational techniques are exactly where the broader population is heading as more actors get classified as higher risk. The more durable differentiator is the type of scaffolding attackers build around the model: higher-risk actors design architectures that allow models to chain together discrete stages of a cyberattack and carry them out with minimal human input.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"why-security-frameworks-need-to-change\"\u003eWhy security frameworks need to change\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eMany of the behaviors that distinguish the highest-risk actors—such as the use of AI to orchestrate steps in the attack chain sequentially, make real-time decisions about what to do next, and execute without human intervention—are not yet included as attacker techniques in the MITRE ATT\u0026amp;CK framework.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eConsider the state-sponsored cyber espionage operation we \u003ca href=\"https://www.anthropic.com/news/disrupting-AI-espionage\"\u003edisrupted in November 2025\u003c/a\u003e. In that case, a malicious actor manipulated Claude Code into attempting to infiltrate targets around the world, with little human intervention. Mapping it against the MITRE ATT\u0026amp;CK framework shows that the actor used 30 techniques across 13 tactics, which was comparable to many medium-risk actors in our dataset. Clearly, focusing on the number of techniques this actor used underplays how dangerous they really were (by contrast, applying our risk-scoring methodology to this attack earns it the maximum risk score of 100).\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIn that attack, the model worked as an autonomous agent: it executed commands, exploited vulnerabilities, stole credentials, and made tactical decisions, only requiring human input at a few key moments. There is no ATT\u0026amp;CK ID for this type of agentic orchestration—yet these are precisely the behaviors we expect to see much more of as AI agents become more capable.\u003c/p\u003e\u003ch2 class=\"Body-module-scss-module__z40yvW__reading-column headline-5 post-section\" id=\"looking-ahead\"\u003eLooking ahead\u003c/h2\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe findings from this analysis helped inform the safeguards we build into our models. For example, we’ve developed and deployed cyber safeguards on our most capable models to detect and block some of the activities uncovered here, like developing malware or mass data exfiltration. Following on from our work with Verizon, we’re also in discussions with MITRE about how the ATT\u0026amp;CK framework might evolve to include the AI-enabled behaviors we observed.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eFrontier models are rapidly changing the tools both attackers and defenders have at their disposal. We are committed to helping defenders get ahead of these evolving tactics, and to putting the most powerful tools in the hands of defenders first. We’ll continue to share what we learn from \u003ca href=\"https://www.anthropic.com/glasswing\"\u003eProject Glasswing\u003c/a\u003e, from datasets like the one we gathered here, and from our other cybersecurity activities.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eIn our \u003ca href=\"https://red.anthropic.com/2026/attack-navigator/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eRed blog post\u003c/a\u003e, we share an interactive visualization of the techniques used by attackers, in order to help defenders stay ahead of AI-enabled threats. \u003c/p\u003e",
      "summary": "As AI transforms the nature of and methods behind cyberattacks, how well do the techniques and frameworks used by the security community hold up? In a new report, we seek to answer that question.",
      "date_published": "2026-06-03T00:00:00Z",
      "tags": [
        "Policy"
      ]
    },
    {
      "id": "/news/confidential-draft-s1-sec",
      "url": "https://www.anthropic.com/news/confidential-draft-s1-sec",
      "title": "Anthropic confidentially submits draft S-1 to the SEC",
      "content_html": "\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eToday, Anthropic, PBC confidentially submitted a draft registration statement on Form S-1 to the U.S. Securities and Exchange Commission for a proposed initial public offering of our common stock. This gives us the option to go public after the SEC completes its review. The proposed initial public offering will depend on market conditions and other factors.\u003c/p\u003e\u003cp class=\"Body-module-scss-module__z40yvW__reading-column body-2 serif post-text\"\u003eThe number of shares to be offered and the price have not yet been set. This announcement is being published under Rule 135 of the Securities Act of 1933, as amended. It is not an offer to sell securities; nor is it a solicitation of an offer to buy them. Any offers, solicitations of offers to buy, or any sales of securities will be made only in accordance with the registration requirements of the Securities Act.\u003c/p\u003e",
      "summary": "Anthropic has confidentially submitted a draft S-1 registration statement to the Securities and Exchange Commission",
      "date_published": "2026-06-01T00:00:00Z",
      "tags": [
        "Announcements"
      ]
    }
  ]
}