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

Alex Kantrowitz2 HN recommenders · 2025–2026
222K views · podcast · dated · Uploaded 2025-03-19

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.

LLMs & generative AIMachine learning & deep learningTech pioneers & interviews

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3 comments from Hacker News

@mentalgear2025 · 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] ( [VIDEO] )

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@Xunjin2026 · 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. [VIDEO]

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@qsera2026 · 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 [VIDEO]

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