reinforcement learning
4 statements across 3 episodes · 1 bullish · 1 bearish · 3 people on the record · first statement Nov 27, 2024 by Yann LeCun · across every show →
Everything said about reinforcement learning, oldest first
Nov 27, 2024 negative
Reinforcement learning is highly inefficient outside of simulated environments like games
“It's very inefficient because the system has to try many things before it gets the correct answer. And so, It's very inefficient. It requires many, many, many trials. And so it works really well for games. You know, you, it's very efficient. If you want to tra…”
Nov 27, 2024 neutral
DeepMind was founded on the premise that reinforcement learning leads to AGI
“There was a big wave of interest in reinforcement learning about, you know, a dozen years ago, and companies like DeepMind set themselves up with the idea that reinforcement learning was going to be the key element towards building truly intelligent machines.”
Aug 29, 2025 positive
Feb 24, 2026 neutral
Amodei: Static training data is becoming less central than dynamic RL data
“Static data is becoming less important and what we might call like dynamic data that the model creates itself is, you know, for reinforcement learning is becoming more important. So, you know, I don't think data is, is, is quite the most central thing anymore,…”