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English(EN) Ted Chiang says AI isn't conscious and he's right, but the more useful finding is how mundane the gaps actually are. MIRROR notices a VLM solves a geometry prob

Ted Chiang：AI 的局限性是平凡的，而非缺乏意识

作者 PulseAugur 编辑部 · [1 个来源] ·

Ted Chiang 认为当前的 AI 没有意识，并指出其局限性令人惊讶地平凡。一个视觉语言模型 (VLM) 在以文本形式呈现时能够解决一个几何问题，但在以图像形式呈现时却无法解决同一个问题。这表明 AI 中的一些“推理失败”可能源于跨模态检索问题，而不是缺乏底层知识。 AI

影响 表明一些 AI 推理失败可能源于跨模态检索问题，而不是根本性的局限性。

排序理由 由一位知名的、有影响力的声音撰写的评论文章，讨论 AI 的能力。

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Ted Chiang：AI 的局限性是平凡的，而非缺乏意识

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Commentary
由一位知名的、有影响力的声音撰写的评论文章，讨论 AI 的能力。
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报道来源 [1]

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

    Ted Chiang 表示 AI 并非有意识，他说的没错，但更有用的发现是这些差距实际上有多么平淡无奇。MIRROR 注意到 VLM 解决了几何问题

    Ted Chiang says AI isn't conscious and he's right, but the more useful finding is how mundane the gaps actually are. MIRROR notices a VLM solves a geometry problem when fed the text but fails the identical problem as an image. The knowledge is in there, one input path just can't …

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