causal claim
SPEAKER_03 suggests that domain-specific reinforcement learning can encode useful intuitions in model weights and improve runtime efficiency, even if models could otherwise learn the domain on the fly.
John Schulman · AI researchers debate how close we are to recursive self-improvement · 11 Sep 2026
In their words
The transcript segments this claim was taken from
“and you could argue that you need to do a lot of this domain-specific training just to make them more efficient.”
“So even if they were smart enough to figure this out on the fly,”
“you still might want to do a bunch of RL and bake all these intuitions into the weights so the model would be more efficient at runtime.”37:26Report a misattribution
0.75how strongly it was put, not whether it is true
0.75importance to the conversation
0.95confidence the claim was read correctly