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

Alex Kantrowitz · podcast · Watch on YouTube

LLMs & generative AIMachine learning & deep learningTech pioneers & interviews

What it is

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.

Why Hacker News recommends it

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

  • 2 people recommended it
  • 2 different months
  • 0 strong recommendations
  • first 2025, last 2026

What HN commenters said

  1. “It's quite eye opening.”

    LeCun on models learning physics through experience.

    Xunjin, 2026-03 · Recommendation · in “Why AI systems don't learn – On autonomous learning from cognitive science”

  2. “this video probably contains the answers to your questions if you are open minded about it”

    Likely answers commenter's questions about AI limitations.

    qsera, 2026-04 · Recommendation · in “I used AI. It worked. I hated it”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: yann lecun, world models, llm limitations, ai research, open source ai

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