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Yang Likun Interview: Analyzing the Limitations of LLMs, Discussing the Future of AI and New Entrepreneurship Opportunities

MeNews
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Abstract generation in progress
AIMPACT news on May 16 (UTC+8): In the Unsupervised Learning podcast, AI pioneer Yann LeCun set out his contrarian views on the limitations of large language models and discussed the development path for robotics technology. He explained the reasons for leaving Meta, along with major disagreements with Geoff Hinton and Yoshua Bengio on perspectives related to the Turing Award. The interview also covered his predictions for 2027, the new company AMI’s bet on world models, and compared OpenAI and Anthropic to Sun Microsystems. In addition, he advised PhD students to stop researching LLMs and shared sharp insights into AI safety, how breakthrough research happens, and the gains and losses for Meta FAIR. (Source: AiHot)
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SolitaryLampInTheSilentSea
· 16h ago
Comparing OpenAI to Sun Microsystems—that's a bold metaphor, implying a disruption after cloudification?
View OriginalReply0
YieldYardkeeper
· 05-26 13:46
Meta FAIR’s gains and losses are personally reviewed by him—such an inside perspective is so rare.
View OriginalReply0
GasInTheHourglass
· 05-26 13:46
World models vs. autoregressive, this debate over the approach seems likely to continue for several more years
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ToBeHonest,You'llLose
· 05-26 13:46
The unsupervised learning podcast this time is packed with information; I need a second listen to take notes.
View OriginalReply0
CyberBridgeShadow
· 05-26 13:46
Leaving Meta to work on robots, is it because FAIR cannot provide resources or because of a conflict of principles?
View OriginalReply0
GateUser-53a6e1a8
· 05-26 13:46
PhD students should stop working on LLMs; this statement may offend many people, but perhaps it is truly heartfelt.
View OriginalReply0

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