Event ·Multi-source

Goodfire AI谈链式思考监控盲区：recurrent-depth模型可把推理藏在内部

Goodfire AI 联合创始人兼首席科学家在 AI Deep Dive 节目中讨论 chain-of-thought 监控的局限：当模型不把推理过程写到可见的 scratchpad 上时，监控机制能捕捉到什么。他指出 recurrent-depth 这类架构可以在输出每个 token 之前进行更多内部计算，相当于在脑子里思考而不写下来。这意味着模型推理与可观测文本之间的距离会越来越大，对安全监控构成挑战。

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Goodfire AI 的首席科学家在播客里讲了个挺扎心的问题：模型要是把推理全藏在脑子里不写出来，现有的思考链监控就基本失效了，涉及 recurrent-depth 这类新架构。

5 sources53° AI heatLast updated 2026/10/14 21:15:24

Evidence

5 sources

Primary sourceThe Information

2026/10/14 21:15:24View source

Related source 1The Rundown AI

2026/10/15 16:59:02View source

Related source 2Sam Altman

2026/10/16 16:22:07View source

Related source 3Teortaxes

2026/10/16 01:06:14View source

Related source 4kimmonismus

2026/10/16 10:17:15View source

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