Chain-of-thought loses value for steering agentic AI, Ethan Mollick says
Overview
Ethan Mollick says on X that chain-of-thought, even in summarized form, has lost much of its value for steering and observing agentic AI. He says people now rely on asking agents for interim outputs and tests, then using AI to troubleshoot the problems those outputs reveal.
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Written by AI from the articles below · updated Oct 15, 11:16 AM ET
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Ethan Mollick@emollickXChain-of-thought loses value for steering agentic AIAIEthan Mollick says chain-of-thought, even summarized, has lost much of its value in agentic AI. He says steering agents and observing them now depends on asking for interim outputs and tests, then using AI to troubleshoot the problems those reveal.
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