How AI Is Now Speeding Up AI - The METR Report
An outside team just spent 11 weeks inside Anthropic, the makers of Claude, to answer one question: is AI now speeding up the building of AI? Their answer: probably yes. Anthropic is now making about two years of AI progress every year, and most of that speed-up comes from AI itself.But much of the evidence was blacked out, the newest models are kept inside the company, and the tests used to measure progress are running out of room. What does it mean when the smartest AI is the one the public can't use?
What do you think? Should the companies building the smartest AI keep it to themselves first?
0:00 Eleven weeks inside Anthropic
1:05 Two years in one
3:01 Could it be wrong?
4:13 Running out of rulers
5:20 The black bars
7:06 What it means
8:28 My take
Voice: my real voice
Sources:
- METR, "Independent Assessment of AI R&D Acceleration at Anthropic in October 2026" (Nov 5, 2026): https://metr.org/blog/2026-11-05-anthropic-ai-rd-acceleration-assessment/
- METR, review of the "Risks from automated R&D" section of Anthropic's August 2026 Risk Report (Nov 5, 2026): https://metr.org/blog/2026-11-05-rd-section-anthropic-risk-report-august-2026-review/
- METR, early-2025 study of experienced open-source developers using AI (Jul 10, 2025): https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
- Anthropic, Responsible Scaling Policy: https://www.anthropic.com/responsible-scaling-policy
- Anthropic, "An update on independent evaluators": https://www.anthropic.com/news/an-update-on-independent-evaluators
- Associated Press, "Anthropic is rapidly accelerating AI development amid slowdown calls, outside research group says": https://www.whec.com/ap-top-news/anthropic-is-rapidly-accelerating-ai-development-amid-slowdown-calls-outside-research-group-says/
- Sam McCandlish (Anthropic co-founder), post on X, Nov 6, 2026
- Google DeepMind, Gemini 4 safety report: https://storage.googleapis.com/deepmind-media/gemini/gemini_4_safety_report.pdf
- Clay Mathematics Institute, Navier–Stokes Millennium Prize problem
Featuring clips of Dario Amodei and Dwarkesh Patel (Dwarkesh Podcast). B-roll: Bloomberg Originals, Anthropic, Google DeepMind, NVIDIA, FAR.AI, PBS NewsHour, KTH / APS Gallery of Fluid Motion, NOAA / NASA, DroneFilmingHertfordshire, Pexels.
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