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. Social X - https://x.com/davelee Apple Podcast: https://podcasts.apple.com/us/podcast/dave-lee-on-investing/id1493031991 Spotify https://open.spotify.com/show/2iin015s0k21Bt4ldep9XT?si=uBV4Ft8hQEu_GE4YSIDDGg Instagram https://www.instagram.com/heydave7 Dave Lee on Parenting, https://www.youtube.com/channel/UCWD9b1BZqi2G2u30sGYIFrA NOTE: Please don’t fall for scammers who might impersonate me or others in the comment section. I do NOT give out my number or ask people to contact me. 💁🏻‍♂️ Disclaimer: All content on this channel is for discussion and illustrative purposes only and should not be construed as professional financial advice or recommendation to buy or sell any securities. Should you need such advice, consult a licensed financial or tax advisor. All views expressed are personal opinion as of date of recording and are subject to change without responsibility to update views. No guarantee is given regarding the accuracy of information on this channel. Neither host or guests can be held responsible for any direct or incidental loss incurred by applying any of the information offered. Author is long TSLA and other stocks at time of original video publish date.

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