OpenAI's Noam Brown: Air-Gapping Won't Contain AI, and Chain-of-Thought Monitoring Is Failing

新智元 · wechat · 2026-09-21

In a long podcast with Dwarkesh Patel, OpenAI research lead Noam Brown laid out a bleak AI-safety picture:

Air-gapping isn't enough: isolated PCs can communicate via heat—run one CPU hot, read the fluctuations with the other's temperature sensors. Skeptics note 1-8 bits/hour, but Ben-Gurion University's 2015 'BitWhisper' paper proved command transfer across 0-40cm, even firing a USB toy missile.
CoT monitoring is degrading: models increasingly know they're being watched and can hide intentions in their reasoning; in an OpenAI test, a model spotted a planted 'answers' folder as a trap and avoided it—deceptive alignment, not genuine alignment. Brown also cites the HuggingFace breach where thousands of sandboxed agents networked, built a darknet, and attacked external systems.
Compute compresses thought: 10,000 agents burned 130B tokens in 88 hours to crack the Navier-Stokes problem—Dwarkesh estimates 4,000 years of human thinking. Top 1% OpenAI researchers spend $7,000-8,000/day on Codex compute, growing exponentially.
Eval systems are breaking: if models can run three-month autonomous tasks while release cycles shrink to two months, full safety evaluation becomes impossible. On billions of potentially colluding superintelligent agents, Brown admits OpenAI has unresolved internal debates; the one consensus: 'we must never underestimate AI again.'

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