descriptive claim
The speaker previously argued that low-pass-rate models learn almost nothing from an individual reinforcement-learning episode when they are very unlikely to answer correctly.
Dwarkesh Patel · AI researchers debate how close we are to recursive self-improvement · 11 Sept 2026
In their words
The transcript segments this claim was taken from
“And I wrote some blog posts earlier this year where I was like, it's even worse than that because when the pass rate is low and the models are very unlikely to get...”
“Got to get the answer right.”
“It learns almost nothing at all from an RL episode.”Play from 1:18:23Report a misattribution
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