65岁AI教父LeCun告别Meta！转战巴黎，欲打造懂物理世界的新AI_老虎社区_美港股上老虎

65岁AI教父LeCun告别Meta！转战巴黎，欲打造懂物理世界的新AI

ITBEAR科技资讯12-05 20:42

在全球科技巨头纷纷加码大语言模型（LLM）的浪潮中，图灵奖得主、meta首席AI科学家Yann LeCun却选择了一条截然不同的道路。这位被誉为“AI教父”的学者宣布，将于年底结束在meta长达12年的任职，转而投身创业，致力于开发能够理解物理世界的机器智能系统。LeCun的离职并非突然之举。早在数月前，他便多次公开质疑LLM的技术路线，认为这类基于文本生成的模型虽在语言处理领域表现卓越，却缺乏对...

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Moved to Paris to create a new AI that understands the physical world","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"META":0.81,"AGI":1},"content_text":"在全球科技巨头纷纷加码大语言模型（LLM）的浪潮中，图灵奖得主、meta首席AI科学家Yann LeCun却选择了一条截然不同的道路。这位被誉为“AI教父”的学者宣布，将于年底结束在meta长达12年的任职，转而投身创业，致力于开发能够理解物理世界的机器智能系统。LeCun的离职并非突然之举。早在数月前，他便多次公开质疑LLM的技术路线，认为这类基于文本生成的模型虽在语言处理领域表现卓越，却缺乏对真实世界的认知能力。他指出，当前AI系统在记忆存储、多步推理等方面存在明显短板，仅靠扩大模型规模无法实现真正的通用人工智能（AGI）。在巴黎举办的AI-Pulse活动上，LeCun进一步阐述了他的技术愿景。他强调，自主机器智能需要建立在“世界模型”基础之上——这种模型通过视觉等感官信息训练，能够预测物理世界的演变规律。与之形成对比的是，LLM更像是“文本生成器”，属于快速反应的System 1系统，而非具备深度推理能力的System 2系统。这位学者对技术路线的坚持，与meta的战略方向产生了显著分歧。尽管公司CEO马克·扎克伯格曾公开表示支持，但实际行动却颇为谨慎。LeCun透露，meta并未参与其新创业项目的投资，双方在技术路径上的分歧已难以调和。这种矛盾在meta近期重金招募LLM专家的举措中体现得尤为明显——公司不惜代价从竞争对手处挖角，甚至由扎克伯格亲自出面挽留人才。LeCun的技术理念可追溯至十年前。他长期主张，真正的机器智能应当模仿人类婴儿的学习方式：通过观察和互动构建对世界的认知模型。为此，他带领团队开发了非生成式的联合嵌入预测架构（JEPA），这种系统能够学习现实世界的结构特征，并预测不同行动可能产生的结果。相较于依赖自回归机制的LLM，JEPA架构更接近人类认知世界的模式。在具体实践层面，LeCun的团队不仅使用视频数据，还引入电子游戏等交互式场景进行模型训练。他解释称，单纯依赖视频数据存在局限性——就像观看梦境般缺乏参与感，而真正的智能需要具备预测不同行动后果的能力。这种思路与当前主流的“视频模型”形成鲜明对比，体现了其对交互式学习的高度重视。这位学者的技术主张引发了行业广泛讨论。支持者认为，他指出了当前AI发展的瓶颈；反对者则质疑，放弃已被验证的LLM路线是否明智。市场对此反应敏感：在LeCun离职消息传出后，meta股价短暂下跌2%，反映出投资者对公司技术方向调整的担忧。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"hasMoreComments":false,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"isCrawlerRequest":true}