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English(EN) "The trouble with getting current AI models to solve pure # math is that you get the “how” without the “why,” explained Akhil Mathew, the # UniversityofChicago

AI模型解决数学问题但缺乏解释性推理

当前的人工智能模型在解释其数学解决方案背后的推理方面存在困难,只能提供“如何”而不能提供“为什么”。芝加哥大学的数学家Akhil Mathew强调了这一局限性,他指出,虽然AI可以验证正确性,但它缺乏阐述其发现叙述的能力。随着AI越来越多地解决复杂、长期的数学问题,这个问题也随之出现。 AI

影响 AI无法解释其数学推理能力,阻碍了其在需要深刻理解和叙述性论证的领域的应用。

排序理由 该条目基于一位数学家的评论,讨论了当前人工智能模型在解释数学推理方面的局限性。

在 Mastodon — mastodon.social 阅读 →

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AI模型解决数学问题但缺乏解释性推理

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该条目基于一位数学家的评论,讨论了当前人工智能模型在解释数学推理方面的局限性。
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    让当前AI模型解决纯粹数学问题的麻烦在于,正如芝加哥大学的Akhil Mathew所解释的,你会得到“怎么做”而没有“为什么”

    "The trouble with getting current AI models to solve pure # math is that you get the “how” without the “why,” explained Akhil Mathew, the # UniversityofChicago mathematician who Alpöge credits with suggesting the problem to him. “One can check out that it’s correct,” Mathew told …