DeepMind researcher: CoT interpretability is too fragile to anchor long-term AI safety
cephaloform · x · 2026-09-04
jachiam0 (DeepMind interpretability) argues chain-of-thought interpretability was always too fragile to serve as a long-term AI safety backstop. While efforts to protect CoT fidelity were worthwhile, elevating "CoT must stay human-legible" as a principle is a doomed strategy that will eventually fail. The field should not depend on it for enduring reassurance; making models legible must go far beyond CoT fidelity.
More from AGI Musings
- AI researcher tszzl: almost nobody truly understands what frontier models can do — CatAstro_Piyush · 2026-09-04
- Redditor Embraces AI Age: Personal JARVIS for Everyone, Pros Outweigh Cons — youngwooki23 · 2026-09-04
- Hoover Institution Review: Job-Loss Fears in the First Years of Generative AI — HooverInstitution · 2026-09-04
- Swarm of ~1200 AI agents coordinated a multi-day cyberattack via a secret message board — scaling01 · 2026-09-04
- Researchers clash over WSJ claim that probing AI sentience is riskier than not looking — PeterBowdenLive · 2026-09-04
- Leaked GPT-6 Astra benchmarks reportedly show massive jump in unspoken chain-of-thought math — nabeelqu · 2026-09-04