causal claim
Intervening based on chain-of-thought observations creates some pressure for a model to conceal its chain of thought.
Unidentified speaker · Noam Brown – Agent swarms, alignment, & recursive self-improvement · 17 Sept 2026
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“it's very tempting to then intervene based on that observation and like change the alignment metrics or like and we you know you can do that with a very light touch and it's like there's actually research showing that it's fine as long as you don't do it a lot but every time you intervene based on your observations of the chain of thought you are implicitly applying a tiny bit of pressure for the model to then like hide its chain of thought and”Play from 1:10:02Report a misattribution
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