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AI Researchers Urge Systems That Track Doubt and Settled Beliefs

Original: “For general reasoning, a system should maintain an epistemic state that represents what the system holds as settled, wh

A discussion is circulating about how artificial intelligence systems should handle reasoning. The argument: a general reasoning system needs an explicit epistemic state recording what it treats as settled, what it doubts, what it has ruled out, and which questions remain open. Reasoning is then framed as a sequence of moves that change that state. Commenters are debating whether current large language models can support such structured tracking of uncertainty.

Why now: Ongoing debate about whether current AI models genuinely reason or merely generate plausible text.

artificial intelligencelarge language modelsepistemic reasoning

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