Training can exert optimization pressure on chains of thought even when they are not directly rewarded.
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Even if reward is not directly computed from CoT, model training can still exert some optimization pressure on chains-of-thought.
Examples given: shared weights between CoT and output generation, CoT shown to human raters, and using CoT monitoring to patch reward hacks across runs.
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Created by extractor · Oct 28, 2026. Every judgment on this page is accompanied by a reasoning trace.