More diverse training environments make mesa-optimization more likely to be selected for.
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As one moves to more and more diverse environments—that is, as N increases—this model suggests that x will dominate P −f (x) N , implying that mesa-optimization will become more and more favorable.
Toy model of optimization power split between base optimizer and learned algorithm.
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Created by extractor · Nov 1, 2026. Every judgment on this page is accompanied by a reasoning trace.