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常见问题解答

这一事件的深层原因是什么？

深入分析可以发现，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

未来发展趋势如何？

从多个维度综合研判，id-token: write

关于作者

王芳，专栏作家，多年从业经验，致力于为读者提供专业、客观的行业解读。

网友评论

• 好学不倦 03-28 01:39

  作者的观点很有见地，建议大家仔细阅读。

• 知识达人 03-24 01:39

  干货满满，已收藏转发。

• 每日充电 04-05 01:39

  难得的好文，逻辑清晰，论证有力。

• 知识达人 04-05 01:39

  作者的观点很有见地，建议大家仔细阅读。