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Yann LeCun· @ylecun · X·· 2026-05-16AI 评分71
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在Unsupervised Learning播客中,AI先驱杨立昆阐述了其对大型语言模型局限性的反主流观点,并探讨了机器人技术的发展路径。他解释了离开Meta的原因,以及与Geoff Hinton、Yoshua Bengio在图灵奖观点上的重大分歧。访谈还涵盖了他对2027年的预测、新公司AMI对世界模型的押注,并将OpenAI和Anthropic比作Sun Microsystems。此外,他建议博士生停止研究LLM,并分享了对AI安全、突破性研究发生机制以及Meta FAIR得失的尖锐见解。

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Fun interview with Jacob Effron on the Unsupervised Learning podcast.

引用Jacob Effron@jacobeffron
It’s hard to imagine more of a dream Unsupervised Learning guest than @ylecun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: https://youtu.be/ngBraLDqzdI Spotify: https://bit.ly/4dL8fvT Apple: https://bit.ly/4wxgpiX
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来源:Yann LeCun · x.com