Anthropic
1,595 posts
user avatar
Anthropic
@AnthropicAI
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.
anthropic.com
Joined January 2021
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  • user avatar
    Anthropic
    @AnthropicAI
    17h
    Our latest economic research introduces a framework for tracking Claude Code as it scales. Who is using Claude Code, and what are they using it for? How is the value of tasks changing? And how much does domain expertise shape whether a session succeeds?
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    Agentic coding and persistent returns to expertise
    From anthropic.com
    652K
    user avatar
    Anthropic
    @AnthropicAI
    17h
    Replying to @AnthropicAI
    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.
    76K
    user avatar
    Anthropic
    @AnthropicAI
    17h
    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:
    Large hand-shaped network diagram with abacus-like nodes and interconnected beads representing data processing
    Agentic coding and persistent returns to expertise
    From anthropic.com
    63K
  • user avatar
    Anthropic
    @AnthropicAI
    Jun 13
    The 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
    Anthropic logo
    Statement on the US government directive to suspend access to Fable 5 and Mythos 5
    From anthropic.com
    91M
  • user avatar
    Anthropic
    @AnthropicAI
    Jun 11
    We’re launching Claude Corps, a national fellowship program matching people early in their careers with US nonprofits. We'll teach 1,000 people to use Claude, and pay them to use AI to advance their hosts’ missions.
    Claude Corps logo on a neutral background
    Claude Corps
    From anthropic.com
    1M
  • user avatar
    Anthropic
    @AnthropicAI
    Jun 10
    AI is advancing at a pace our policymaking institutions were never built for—and the gap between the two is becoming the central challenge of the technology. In his latest essay, our CEO Dario Amodei lays out how to close it. We're launching three new initiatives to support the
    user avatar
    Dario Amodei
    Anthropic
    @DarioAmodei
    Jun 10
    Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: darioamodei.com/post/policy-on…
    1.5M
    user avatar
    Anthropic
    @AnthropicAI
    Jun 10
    Replying to @AnthropicAI
    And tomorrow, we’ll launch a $150 million national fellowship program designed to help people early in their careers extend the benefits of AI to communities across America.
    159K
    user avatar
    Anthropic
    @AnthropicAI
    Jun 10
    By themselves, these projects will not be sufficient to meet the challenge of advanced AI. But they’re a signal of our intent. Over the coming months and years, we will expand our work on these fronts much further.
    120K
  • Anthropic reposted
    user avatar
    Claude
    Anthropic
    @claudeai
    Jun 9
    Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
    00:00
    56M
  • user avatar
    Anthropic
    @AnthropicAI
    Jun 8
    New Science Blog: Why has AI advanced faster in coding than in biology? To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic. How do we build infrastructure agents can use?
    anthropic.com
    Paving the way for agents in biology
    Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
    745K
  • user avatar
    Anthropic
    @AnthropicAI
    Jun 5
    New Anthropic Science Blog: Making Claude a chemist. To manipulate a molecule, chemists first need to understand its structure. Their main tool is NMR spectroscopy. We found Opus 4.7 matches—and on some tasks beats—dedicated NMR software. Read more:
    Abstract composition with flowing head silhouette and stylized hand gesture, holding geometric cube structure
    Making Claude a chemist
    From anthropic.com
    485K
  • user avatar
    Anthropic
    @AnthropicAI
    Jun 4
    Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention.
    Anthropic logo
    When AI builds itself
    From anthropic.com
    19M
    user avatar
    Anthropic
    @AnthropicAI
    Jun 4
    Replying to @AnthropicAI
    Each time we release a model, we run the same test: give it code that trains a small AI model, ask the new model to speed it up. It takes a skilled human 4-8 hours to reach 4x faster. In May 2024, Claude Opus 4 averaged a ~3x speedup. This April, Mythos Preview achieved ~52x.
    1.1M
    user avatar
    Anthropic
    @AnthropicAI
    Jun 4
    Correction: Claude Opus 4's ~3x average speedup dates to May 2025, not May 2024. This evaluation has only existed since September 2024, but we backtested it on earlier models: those from May 2024 showed no speedup whatsoever.
    123K
  • user avatar
    Anthropic
    @AnthropicAI
    Jun 4
    Replying to @AnthropicAI
    AI research is a series of next-step decisions. We looked at sessions where a human researcher took a wrong turn, showed Claude the session up to that point, and asked it what to do next. Mythos Preview improved on humans 64% of the time—up from 22% in 2024.
    400K
    user avatar
    Anthropic
    @AnthropicAI
    Jun 4
    None of this guarantees recursive self-improvement is on the horizon. It’s not yet clear that Claude is capable of research judgment—of choosing the right problems to work on. But if these trends continue, AI systems designing and building their own successors is plausible. This
    Anthropic logo
    When AI builds itself
    From anthropic.com
    534K

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