METR: Anthropic's AI progress ~1.9× faster, with AI helping build AI

Independent evaluator METR published an assessment of AI R&D acceleration inside Anthropic. It estimates that since October 2025, Anthropic's AECI benchmark scores have grown at about 1.9× the earlier rate (95% interval roughly 1.5–2.8), and that AI itself may account for a large share of that speed-up — METR flags that share as highly uncertain. Anthropic redacted much of the non-public evidence in the public report; METR still judges catastrophic automated-R&D risk as low for models as of mid-July. Fact or hype: partly fact. The public report exists; the multipliers are METR's with wide uncertainty and heavy redactions.

Why it mattersLab roadmaps may compress. Don't rewrite your tool stack on a single multiplier — do budget for more frequent model swaps and re-tests of agent workflows.

Curated by Sara Simeone as part of our human editorial coverage. The original sources are linked below; curation is distinct from a Hype or Fact? assessment.

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How we knowCompany figures are labelled as their own claims; anything we couldn't verify is labelled as a report or a claim.