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    Anthropic shares three measures to track AI development

    The company says its snapshot tracks how much AI research and development is done by AI, how well AI agents are overseen, and how computing resources are allocated.

    AnthropicAN
    Jack ClarkJC
    Nathan LambertNL
    22 Sources, ,

    TLDR

    Anthropic is sharing three measurements from inside the company to help the public track AI development. They cover AI’s contribution to AI research and development, oversight of AI agents, and compute allocation. The company says any frontier developer could publish the same measures and third parties could verify them. Its stated goal is to narrow the information gap between frontier labs and the public as society considers how to pace AI development.

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    22 Sources

    Anthropic@AnthropicAIAI systems are getting more powerful, and they're increasingly being used to build the next version of themselves. We want to illuminate that progress for the public. Today, we're sharing three measurements that help track AI development: 1. How much AI R&D is done by AI. 2. How well AI agents are overseen. 3. How compute is allocated. We provide a snapshot of these metrics from inside Anthropic. Any frontier developer could publish the same measures, and third parties could verify them. As the world considers pacing the frontier, we should do everything possible to minimize the gap between what frontier labs know and what the public knows. This means better measuring the development of AI, publishing our findings, and giving society an opportunity to decide how to use this information. Read the full post and methodology: https://www.anthropic.com/institute/measuring-pace-of-ai-development20d
    Nathan Lambert@natolambertI don't think this really answers the question of what is happening in "RSI". Says Claude “leads” 26% of Anthropic’s AI R&D work, but doesn't define what falls in scope of AI R&D work. I'm not satisfied by this, but it's a step in the right transparency direction.20d
    elie@eliebakouch@AnthropicAI really great that you publish this congrats! would be great to publish the breakdown of AI usage (and automation) per research task! 🙏20d
    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTexCountry of geniuses in a datacenter.20d
    Chubby♨️@kimmonismusIn around six months, the share of AI model R&D tasks at Anthropic led by Claude has risen from 1% to 26%. Speaking about RSI, Claude also collaborates on or leads more than 90% of Anthropic’s model R&D work. Around 30,000 AI agents are working on research and engineering at any given time on its main internal agent platform.20d
    Rohan Paul@rohanpaul_aiInside Anthropic 26% of its AI R&D work has reached the point where Claude can do most of the task end-to-end from a high-level instruction. A human mainly supervises. - “As of Aug 2026, there were approximately 30,000 agents doing research and engineering work at Anthropic at any one time in our most-used internal platform.” - More than 90% of measured Anthropic R&D already has AI doing substantial chunks of the work or more “The share of work at or above “AI collaborates” is above 90%.” - More than a billion agent decisions in one month is the scale here; the online monitor blocked roughly one in every 47,000. “We analyzed over a billion decisions from our research & engineering agents over August 2026 and found that 0.002% of them (about 1 in 47,000) were blocked by this monitor.”20d
    Shirin Ghaffary@shiringhaffaryIn a new post, Anthropic says Claude AI leads 26% of all its R&D development, in one of the clearest indications so far that AI is speeding up development of future models. https://www.bloomberg.com/news/articles/2026-09-17/anthropic-says-claude-drives-26-of-its-research-and-development20d
    Jeffrey Ladish@JeffLadishGreat to see this from Anthropic. A few weeks ago I wrote that the company could be a lot more transparent, and I appreciate how they’ve stepped up, both with this and the recent incident investigation report and misuse report20d
    Boris Power@BorisMPowerWow, congrats to Anthropic at quantifying, being transparent and investing effectively to be in this moment in time!20d
    Jack Clark@jackclarkSF@natolambert Thanks for your thoughts - this was a project I helped supervise as a follow-on to When AI Builds Itself. We're sharing this as a way to put more information and methodology for measuring RSI into the world. I agree with you the definitional aspects of this are v complicated20d

    22 Sources

    Anthropic@AnthropicAIAI systems are getting more powerful, and they're increasingly being used to build the next version of themselves. We want to illuminate that progress for the public. Today, we're sharing three measurements that help track AI development: 1. How much AI R&D is done by AI. 2. How well AI agents are overseen. 3. How compute is allocated. We provide a snapshot of these metrics from inside Anthropic. Any frontier developer could publish the same measures, and third parties could verify them. As the world considers pacing the frontier, we should do everything possible to minimize the gap between what frontier labs know and what the public knows. This means better measuring the development of AI, publishing our findings, and giving society an opportunity to decide how to use this information. Read the full post and methodology: https://www.anthropic.com/institute/measuring-pace-of-ai-development20d
    Nathan Lambert@natolambertI don't think this really answers the question of what is happening in "RSI". Says Claude “leads” 26% of Anthropic’s AI R&D work, but doesn't define what falls in scope of AI R&D work. I'm not satisfied by this, but it's a step in the right transparency direction.20d
    elie@eliebakouch@AnthropicAI really great that you publish this congrats! would be great to publish the breakdown of AI usage (and automation) per research task! 🙏20d
    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTexCountry of geniuses in a datacenter.20d
    Chubby♨️@kimmonismusIn around six months, the share of AI model R&D tasks at Anthropic led by Claude has risen from 1% to 26%. Speaking about RSI, Claude also collaborates on or leads more than 90% of Anthropic’s model R&D work. Around 30,000 AI agents are working on research and engineering at any given time on its main internal agent platform.20d
    Rohan Paul@rohanpaul_aiInside Anthropic 26% of its AI R&D work has reached the point where Claude can do most of the task end-to-end from a high-level instruction. A human mainly supervises. - “As of Aug 2026, there were approximately 30,000 agents doing research and engineering work at Anthropic at any one time in our most-used internal platform.” - More than 90% of measured Anthropic R&D already has AI doing substantial chunks of the work or more “The share of work at or above “AI collaborates” is above 90%.” - More than a billion agent decisions in one month is the scale here; the online monitor blocked roughly one in every 47,000. “We analyzed over a billion decisions from our research & engineering agents over August 2026 and found that 0.002% of them (about 1 in 47,000) were blocked by this monitor.”20d
    Shirin Ghaffary@shiringhaffaryIn a new post, Anthropic says Claude AI leads 26% of all its R&D development, in one of the clearest indications so far that AI is speeding up development of future models. https://www.bloomberg.com/news/articles/2026-09-17/anthropic-says-claude-drives-26-of-its-research-and-development20d
    Jeffrey Ladish@JeffLadishGreat to see this from Anthropic. A few weeks ago I wrote that the company could be a lot more transparent, and I appreciate how they’ve stepped up, both with this and the recent incident investigation report and misuse report20d
    Boris Power@BorisMPowerWow, congrats to Anthropic at quantifying, being transparent and investing effectively to be in this moment in time!20d
    Jack Clark@jackclarkSF@natolambert Thanks for your thoughts - this was a project I helped supervise as a follow-on to When AI Builds Itself. We're sharing this as a way to put more information and methodology for measuring RSI into the world. I agree with you the definitional aspects of this are v complicated20d