causal claim
When a technique removes something from training or a model, an imperfect match between the monitor and the target can incentivize removing both the target and the ability to monitor it.
Tom McGrath · Designing How AI Grows — Tom McGrath · 2 Sep 2026
In their words
The transcript segments this claim was taken from
“which is if you use a technique to try and like remove something from training or from a model,”
“then unless there's a perfect match between your monitor and the thing,”
“then you're both incentivizing getting rid of the thing and getting rid of your ability to monitor the thing.”22:24Report a misattribution
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