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

Alex Kantrowitz · 222.6K views · 2025-03-19 · 59:23

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Overview

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.

On Hacker News

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

Recommended by 2 HN people across 2 months · HN mentions 2025–2026

Topics

LLMs & generative AIMachine learning & deep learningTech pioneers & interviews
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yann lecunworld modelsllm limitationsai researchopen source ai

What people said

qsera · 2026-04 · Recommendation

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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Xunjin · 2026-03 · Recommendation

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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mentalgear · 2025-03 · Reference

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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Sources

Video by Alex Kantrowitz, played through YouTube.

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