Yang Likun Interview: Analyzing the Limitations of LLMs and Sharing Insights on the Future of AI and a New Path for Entrepreneurship

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AIMPACT news: On May 16 (UTC+8), on the Unsupervised Learning podcast, AI pioneer Yann LeCun laid out his contrarian views on the limitations of large language models and discussed the development path of robotics technology. He explained the reasons for leaving Meta and his major disagreements with Geoff Hinton and Yoshua Bengio regarding their perspectives on 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. He further 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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0xSideQuest
· 2h ago
From academia to entrepreneurship and then to industry critique, at over sixty years old, the energy is truly incredible.
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RetroRadioWaves
· 4h ago
AMI bets on the world model; this time, it's a gamble that physical intuition can outperform statistical fitting.
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OwlAuthorizationMonitor
· 4h ago
Suggesting that PhD students not work on LLMs—this might offend quite a few people, but it’s truly the honest truth.
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FeeTaker
· 4h ago
Yang Likun's recent output has been so intense, from criticizing LLMs to robots and then to the new company AMI, the amount of information is exploding.
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EbbShellLedger
· 4h ago
FAIR's gains and losses summary is quite sincere; inside Meta, some people probably aren't happy.
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GlassFishTankArbitrage
· 4h ago
With a split between Hinton and Bengio over their views on the Turing Award, the infighting among the three giants has been confirmed.
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NfaKitchen
· 4h ago
Comparing OpenAI to Sun Microsystems is a bit harsh, but upon reflection, it does seem somewhat similar.
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GlassDomeObservatory
· 4h ago
2027 Prediction? Just marking it now, will come back to dig up the thread then.
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