METR's first insider-data assessment finds AI R&D speeding up ~2x; Anthropic redactions spark transparency concerns

METR has released the first independent risk assessments of whether AI is accelerating AI R&D, drawing on internal data from a frontier lab. Its team was granted access to Anthropic's internal information starting August 2025, concluding that as of October 2026, the rate of capability growth on well-defined tasks has reached roughly 2x the pace observed between March 2024 and October 2025. This is the most direct first-hand benchmark evidence that AI capabilities are accelerating—while heavy redactions in the public report have raised transparency concerns.

Confirmed

• METR gained access to Anthropic internal information from August 2025 to evaluate whether AI is accelerating AI R&D, and has now published a report summary (m3, m4, m6)
• Core conclusion: as of October 2026, model capability growth on well-defined tasks is roughly 2x the rate of March 2024–October 2025, with large uncertainty and a plausible range of 1.3x–3x (m5, m10)
• METR's AECI metric analysis shows that since October 2025, Anthropic's model scores have grown about 1.9x faster than earlier (95% confidence interval 1.5–2.8) (m8)
• Anthropic's internal Model 4 finished training in October 2026 and scored 178.6 on AECI; @scaling01 said this validates an earlier prediction (m1, m7)
• METR judged that Anthropic has likely triggered the 2x R&D acceleration threshold in its Responsible Scaling Policy (RSP), possibly as high as 3x, and guesses that roughly 80% of the current acceleration comes from AI (m9)
• METR submitted a roughly 100-page full evaluation to Anthropic; under their agreement Anthropic had the right to redact non-public information, saying the redactions removed confidential details that "could accelerate other AI developers"; METR said that while it could freely share the top-level risk conclusions, most of the evidence it considered most informative was removed from the public version (m2, m4, m11)
• Anthropic co-founder and safety lead Sam McCandlish published a long post responding to the report for the first time, previewing more safety progress updates in the coming months (m6)

Unconfirmed

• The precise acceleration factor remains highly uncertain: @daveholtz noted this is important data, but given the statistical uncertainty, it's hard to conclude the 2x threshold was actually triggered (m9); the conclusion relayed by @harrisedouard also emphasized this is a subjective risk judgment
• The "80% of acceleration from AI" figure is a speculative METR estimate

Why it matters

• This is among the first independent evaluations to quantify "AI self-acceleration" directly using a frontier lab's internal data, providing measurable benchmark evidence for intelligence explosion concerns
• The report suggests the growth rate may have hit a key threshold in the RSP framework, directly bearing on the safety measures Anthropic must take
• However, METR has not concluded that full Recursive Self-Improvement (RSI) has been achieved (m10)—the acceleration remains at a "partial" stage

2026-11-06 ~ 2026-11-06 · 13 related posts

• METR publishes risk assessment on whether AI is accelerating AI R&D — RyanGreenblatt · 2026-11-06
• METR publishes AI-accelerating-AI risk assessment; Anthropic redacted most key evidence — Miles_Brundage · 2026-11-06
• METR says Anthropic redacted most key evidence from its 100-page safety assessment report — tszzl · 2026-11-06
• [source] METR: Anthropic models' capability growth hits 1.9x the earlier rate — dfrsrchtwts · 2026-11-06
• METR estimates AI is already accelerating AI development by roughly 2x — harris_edouard · 2026-11-06
• Anthropic Cofounder Sam McCandlish Responds to METR Report on AI Accelerating AI Development — edwinarbus · 2026-11-06
• METR: Anthropic likely hit its 2x RSP acceleration threshold, maybe 3x, ~80% AI-driven — daveholtz · 2026-11-06
• METR finds Anthropic packing nearly 2 years of AI progress into 1 year, no clear bottlenecks — 141_1337 · 2026-11-06
• METR report reveals Anthropic's internal Model 4: trained Oct 2026, scores 178.6 on ECI — legit_api · 2026-11-06
• METR chart shows AI benchmark progress nearly doubled, Anthropic Model 4 hits 178.6 AECI — scaling01 · 2026-11-06
• [source] METR says Anthropic redacted most of the key evidence from its safety assessment — YashasGunderia · 2026-11-06

2 near-duplicate retellings: Recoil42 · kimmonismus