THE VIDEO SHELF · limits of llms
Why Can't AI Make Its Own Discoveries? — With Yann LeCun
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 HN readers recommended it
Pointed to as LeCun's argument for the limits of LLMs and the need for world models.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Alex Kantrowitz
- Topic
- limits of llms
- Format
- podcast
- Level
- general
- HN recommenders in dataset
- 2
- HN mentions in dataset
- 3
- Recommendation years in dataset
- 2025–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
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]
Xunjin on Hacker News · 2026-03
In Why AI systems don't learn – On autonomous learning from cognitive scienceThis is not an appeal to authority, but this video probably contains the answers to your questions if you are open minded about it [VIDEO]
qsera on Hacker News · 2026-04
In I used AI. It worked. I hated it
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.