Yann LeCun heads Meta's AI division and The Godfather of artificial intelligence. Let's watch his interview on the Lex Fridman podcast. I took the three-hour podcast and extracted the most interesting parts to discuss.
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Links:
Full Interview -
https://www.youtube.com/watch?v=5t1vTLU7s40
Chapters:
0:00 - Intro
0:18 - Limitations of Current LLMs
1:19 - How Much Data Do We Need?
3:28 - Language Is Not Enough for AGI
4:52 - Why LLMs are Really Bad At Certain Tasks
5:44 - World Model Reasoning
8:03 - Language as a World Model
11:12 - Prediction as a World Model
14:17 - Video Models (Sora)
15:38 - Why Video Prediction Doesn't Work (yet)
17:09 - JEPA
18:27 - LLMs vs JEPA
21:07 - Hierarchical Planning
23:32 - Scaling as the Solution
25:18 - Hallucinations
26:26 - Why RL Isn't Great
28:18 - Open Source
34:46 - Open Source Economics
36:10 - Open Source Economics Part 2
37:30 - AI Bias
39:02 - AI Wokeness
40:05 - LLaMA 3
41:34 - Humans vs AI
42:46 - AGI
44:41 - AI Doom
47:27 - AI vs. Nuclear
49:03 - Robots
50:15 - Hope for the Future
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