prediction claim

SPEAKER_01 predicts that substantially improved sample efficiency would make learning from deployment a much larger component of model training.

Beren Millidge · 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

“so like we kind of have to simulate that now to like get the samples you need but like obviously if sample efficiency improves a lot you'd expect learning from deployment to like become like a much bigger part of it this”

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