qseraApr 2026Recommends
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
in “I used AI. It worked. I hated it” · View on HN
Why Can't AI Make Its Own Discoveries? — With Yann LeCun
Why Can't AI Make Its Own Discoveries? — With Yann LeCun on HackerTube: recommended by 2 Hacker News commenters across 2 separate months, 2025–2026.
Alex Kantrowitz
Open on YouTubepodcast · dated
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.
- people recommended it
- 2
- separate months
- 2
- strong recommendations
- 0
- discussed on HN
- 2025–2026
“It's quite eye opening.”
What HN commenters said
3 Hacker News comments link this video. Each one links back to its thread.
XunjinMar 2026Recommends
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
in “Why AI systems don't learn – On autonomous learning from cognitive science” · View on HN
mentalgearMar 2025Cites it
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 )
in “Tracing the thoughts of a large language model” · View on HN
Topics & tags
LLMs & generative AIMachine learning & deep learningTech pioneers & interviewsyann lecunworld modelsllm limitationsai researchopen source ai