We're an AI safety and research company that builds reliable, interpretable, and steerable AI systems. Talk to our AI assistant @claudeai on claude.ai.

Joined January 2021
632 Photos and videos
Anthropic reposted
Fable 5 is back.
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Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests. We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort. Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research. Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again. Read our full blog: anthropic.com/news/redeployi…
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We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and will share an update soon. We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
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Anthropic reposted
Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.
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Since June 12, we’ve been working closely with the US government to restore access to Claude Mythos 5 and Fable 5. Today, the government notified us that Mythos 5, our strongest cybersecurity model, can be redeployed to a set of US organizations that operate and defend critical infrastructure. We’re restoring access for these organizations quickly, and we’re continuing to work with the government to expand access to Mythos 5 and make Fable 5 available for general use again.
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AI's impact on the economy will ultimately show up in aggregate data like employment and productivity. But it will first be visible where AI is doing the most work. By tracking how usage shifts, hour by hour, surface by surface, we can start to see those changes as they happen. Read the full report: anthropic.com/research/econo…
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Nearly half of respondents expect their work responsibilities to significantly change in the next 12 months. Fewer than 10% think they'll lose their own job within a year, but far more worry for coworkers: over 1/3 put the odds of a junior colleague losing their job above 60%.
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This Econ Index is also the first to survey Claude users. Over 1/3 expect AI to be able to do most or nearly all of their work tasks within a year. But those who delegate the most work to AI are also the most optimistic about what it means for their pay and job security.
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The Econ Index now tracks artifacts—the primary output Claude produces in a session. We looked across Claude conversations and compared how often each artifact was used for work, coursework, or personal life. Blogging is mostly a work activity; translation falls in between.
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Hour by hour, Claude usage is woven into how people live and work. Prompts for news rise in the morning, while recipe requests peak in the evening. People most often seek sleep advice at 5am. Gardening, meanwhile, is stable from dawn until dusk—a perennial topic of interest.
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To keep pace with AI progress, we're advancing how we study Claude's economic impact. Hourly sampling and survey data show us how the cadences of life shape usage, what people produce with Claude, and how perceptions of AI's impact may be changing. anthropic.com/research/econo…
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We're joining @raiseus_ai as a founding partner. RAISE US is a nonprofit coalition working to strengthen the American workforce through employer-led action, AI-enabled training, and policy innovation to support the transition to transformative AI.
Today, we're launching RAISE US. America has a technology strategy for AI. It doesn't have a people strategy yet. We're here to build one. RAISE US is co-chaired by @GinaRaimondo and Eric Holcomb. We're working with governors, employers, and educators to help workers train, transition, and thrive. This works because the people building AI and the people most affected by it are at the same table. Read more: raiseus.ai #RAISEUS
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Anthropic reposted
Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.
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Watch the robodogs in action in our first Project Fetch experiment: x.com/AnthropicAI/status/198…
New Anthropic research: Project Fetch. We asked two teams of Anthropic researchers to program a robot dog. Neither team had any robotics expertise—but we let only one team use Claude. How did they do?
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New Frontier Red Team blog: Phase 2 of Project Fetch, where we test how well Claude can program a robodog. Opus 4.7, on its own, was ~20x faster than last year's best human team aided by Opus 4.1. (The robodog, alas, still failed to fetch a beach ball.) anthropic.com/research/proje…
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These and other measures will allow us to track consequential shifts in the nature of work as they happen—we'll incorporate some of them into the Anthropic Economic Index going forward. Read the full report: anthropic.com/research/claud…
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Domain experts—as judged by the questions they ask and vocabulary they use about a subject—are more likely to see success. But the gap between intermediate and expert users is quite modest, suggesting that proficiency in a domain is sufficient to code successfully within it.
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We compared Claude Code success rates between occupations. On our toughest measure of success—requiring verifiable evidence that a goal was completed, like committed code—every field was within 7 percentage points of software engineering.
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The average task in Claude Code has grown more valuable. We compared the type of work done in each session to what that same task would cost on a freelance marketplace. From October to April, the monetary value of the average session grew 27%.
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Using our privacy-preserving analysis tool, we analyzed 400K sessions from between October 2025 and April 2026. We classified each session by its main goal. More than half consist of writing or repairing code; nearly 1 in 5 are operating software.
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