English(EN) I continue to think that a lack of verifiable answers in many fields is a real issue for LLMs but not as big a problem as it sometimes is made out to be.

Ethan Mollick：LLM可验证答案问题被夸大

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-01 18:34

Ethan Mollick 认为，尽管大型语言模型（LLM）在许多领域都难以提供可验证的答案，但这个问题常常被夸大。他指出，随着 LLM 在形式化领域的进步，它们在可验证性较低的领域也显示出进步，尽管不一致性依然存在。 AI

影响表明，大型语言模型（LLM）在提供可验证答案方面的感知局限性可能不如普遍认为的那样关键。

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Ethan Mollick

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Bluesky Jetstream — AI desk TIER_1 English(EN) · emollick.bsky.social · 2026-08-01 18:34

I continue to think that a lack of verifiable answers in many fields is a real issue for LLMs but not as big a problem as it sometimes is made out to be.

I continue to think that a lack of verifiable answers in many fields is a real issue for LLMs but not as big a problem as it sometimes is made out to be. As models are improving at formal domains, they also are Improving at lots of other less-verifiable domains as well, though j…

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I continue to think that a lack of verifiable answers in many fields is a real issue for LLMs but not as big a problem as it sometimes is made out to be.

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