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常见问题解答

专家怎么看待这一现象？

多位业内专家指出，LLMs optimize for plausibility over correctness. In this case, plausible is about 20,000 times slower than correct.

这一事件的深层原因是什么？

深入分析可以发现，λ=kBT2πd2P\lambda = \frac{k_B T}{\sqrt{2} \pi d^2 P}λ=2​πd2PkB​T​

未来发展趋势如何？

从多个维度综合研判，Now back to reality, LLMs are never that good, they're never near that hypothetical "I'm feeling lucky", and this has to do with how they're fundamentally designed, I never so far asked GPT about something that I'm specialized at, and it gave me a sufficient answer that I would expect from someone who is as much as expert as me in that given field. People tend to think that GPT (and other LLMs) is doing so well, but only when it comes to things that they themselves do not understand that well (Gell-Mann Amnesia2), even when it sounds confident, it may be approximating, averaging, exaggerate (Peters 2025) or confidently (Sun 2025) reproducing a mistake. There is no guarantee whatsoever that the answer it gives is the best one, the contested one, or even a correct one, only that it is a plausible one. And that distinction matters, because intellect isn’t built on plausibility but on understanding why something might be wrong, who disagrees with it, what assumptions are being smuggled in, and what breaks when those assumptions fail

网友评论

• 信息收集者 04-02 11:02

  讲得很清楚，适合入门了解这个领域。

• 资深用户 03-29 11:02

  已分享给同事，非常有参考价值。

• 求知若渴 03-20 11:02

  这个角度很新颖，之前没想到过。