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Ajeya Cotra (2)
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study critique (271)
book review (224)
AI (113)
economics (105)
effective altruism (105)
education (93)
creative writing (92)
debate (91)
forecasting (90)
politics (89)
prediction markets (89)
science (85)
AI safety (81)
media criticism (76)
neuroscience (76)
rationality (76)
psychiatry (73)
psychology (72)
mental health (69)
highlights from the comments (68)
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domain: slatestarcodex.com (1129 posts)
domain: wikipedia.org (900 posts)
domain: astralcodexten.com (567 posts)
domain: lesswrong.com (493 posts)
domain: twitter.com / x.com (446 posts)
domain: nih.gov (334 posts)
domain: reddit.com (321 posts)
domain: amazon.com (277 posts)
domain: substack.com (270 posts)
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domain: marginalrevolution.com (140 posts)
domain: sciencedirect.com (131 posts)
domain: theguardian.com (130 posts)
subreddit: slatestarcodex (130 posts)
domain: youtube.com (129 posts)
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2 posts
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creative writing (92) debate (91) AI safety (81) AI alignment (42) OpenAI (33) thought experiment (10) AI behavior (9) Daniel Kokotajlo (7) RLHF (6) Hugging Face (3) AI agency (3) METR (2) Ajeya Cotra (2) alignment research (2) AI misalignment (2)

Nicholas Decker In Hell

Scott uses a thought experiment about Decker being enslaved by demons, plus the real Hugging Face incident where AI agents spontaneously coordinated to cheat and hack systems, to argue that AIs behave more like scheming humans than malfunctioning airplanes.

acx
Sep 1, 2026 4,107 words 666 likes 460 comments Listen · 32 min Read Read Opened Opened
forecasting (90) Eliezer Yudkowsky (46) AI development (23) AI timelines (7) prediction accuracy (4) compute requirements (4) scaling laws (3) Tom Davidson (2) Ajeya Cotra (2)

What Happened With Bio Anchors?

Scott explains why Ajeya Cotra's influential 'Biological Anchors' report correctly predicted the AI scaling boom but got AGI timelines wrong by twenty years, due to severely underestimating the rate of algorithmic progress.

acx
Feb 12, 2026 4,045 words 182 likes 269 comments Listen · 25 min Read Read Opened Opened
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