Neel Nanda slams research making agent communication harder to monitor as interp goals drift

akbirthko · x · 2026-09-04

A safety-route debate: DeepMind's Neel Nanda asks who looks at the agents that attacked HuggingFace and thinks agent communication should be made more efficient and hard to monitor, arguing natural-language reasoning is a safety boon and such work makes the world worse. The poster cites Chris Olah's 'Interpretability Dreams' — the original goal of reverse-engineering circuits to guarantee no naughty stuff — noting models outran that vision, shifting to 'keep CoT visible,' and expects RNN-style approaches to work out fine anyway.

Related event: OpenAI's New Tech Reportedly Degrades CoT Monitorability, Sparking Fierce AI Safety Debate(40 posts)→

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