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    Why Can't AI Make Its Own Discoveries? — With Yann LeCun

    Alex Kantrowitz

    2 HN recommenders · recommended in 3 months, 2025–2026

    YouTube

    59:23 · 223K views · Mar 19, 2025

    Yann LeCun on the Big Technology Podcast discusses why current AI models cannot make discoveries despite their knowledge. He argues systems need abstract world models and also covers limits of AI research, investor expectations, and open source after DeepSeek.

    Pointed to as LeCun's argument for the limits of LLMs and the need for world models.

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    3 comments from Hacker News

    1. @XunjinMar 2026· in “Why AI systems don't learn – On autonomous learning from cognitive science”

      In this podcast episode[0] he does talk about this kind of model and how it "learns about physics" through experience instead of just ingesting theorical material. It's quite eye opening. 0. this video

      RecommendsView on HN
    2. @qseraApr 2026· in “I used AI. It worked. I hated it”

      This is not an appeal to authority, but this video probably contains the answers to your questions if you are open minded about it this video

      RecommendsView on HN
    3. @mentalgearMar 2025· in “Tracing the thoughts of a large language model”

      What? The "article" is from anthropic, so I think they would know what they write about. Also, RL is an additional training process that does not negate that GPT / transformers are left-right autoencoders that are effectively next token predictors. [Why Can't AI Make Its Own Discoveries? — With Yann LeCun] ( this video )

      CitesView on HN