In the unsupervised learning podcast, Yang Likun presents an unconventional view on the limitations of large language models, explores the path of robotics technology, explains the reasons for leaving Meta, and diverges from Hinton and Bengio on the Turing Award perspective. He also predicts 2027, introduces the new company AMI's bet on world models, compares OpenAI and Anthropic to Sun Microsystems; and suggests that PhD students stop researching LLMs, sharing insights on AI safety, breakthrough research mechanisms, and the gains and losses of Meta FAIR.

MeNews

2026-05-25 21:45:22

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AIMPACT News, May 16 (UTC+8), on the Unsupervised Learning podcast, AI pioneer Yang Likun expressed 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 significant disagreements with Geoff Hinton and Yoshua Bengio regarding the views 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. Additionally, he suggested that PhD students stop researching LLMs and shared sharp insights on AI safety, the mechanisms behind breakthrough research, and the gains and losses of Meta FAIR. (Source: AiHot)

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DaoSidekick

· 8h ago

AMI bets on the world model, feeling like it's gambling on the next paradigm shift, which is quite risky.

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ThereIsTvlInTheWind

· 8h ago

Yang Likun's recent critique of LLMs is quite harsh, but can the world model approach really succeed?

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

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