Anthropic introduces metrics to track AI development pace amid calls for slowdown

Sep 17, 2026

AI Summary

Anthropic has released three metrics aimed at helping AI companies monitor their development pace. This initiative follows CEO Dario Amodei's recent call for a coordinated slowdown in AI advancements, which has garnered support from other industry leaders due to concerns over AI's potential risks.

Anthropic shared three metrics to help AI companies monitor development pace, following a call for a slowdown by CEO Dario Amodei.
The metrics include measuring AI-led research and development, oversight of AI agents, and compute allocation within the company.
Amodei's slowdown plan aims to manage the speed of model capability improvements while maintaining commercial advantages.
The first metric indicates that Anthropic's Claude models are not fully autonomous in their research and development tasks.
The second metric shows that around 30,000 AI agents are engaged in research and engineering tasks on the company's internal platform at any time.
The third metric reveals that approximately 6% of compute resources for AI research were allocated to safety, with 12% for AI-driven research and development.
Anthropic emphasizes that these metrics should enhance transparency and provide a foundation for external assessments of AI development pace.

ai developmentmetricsresearchoversightcompute allocation

Anthropic introduces metrics to track AI development pace amid calls for slowdown

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