normative claim
The speaker says model size should increase when data is the bottleneck, but decrease when compute is the bottleneck.
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
“mean this could well yeah this depends on like the ratio of like training and inference compute really it's like if your super bowl neck on data not on compute you should go bigger if a super bowl neck on compute you should always go smaller and then like yeah”Play from 1:17:03Report a misattribution
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96%confidence the claim was read correctly