causal claim
The speaker thinks interpretability can enable closed-loop control by letting researchers direct models toward a chosen outcome.
Tom McGrath · Designing How AI Grows — Tom McGrath · 2 Sept 2026
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“you sort of put the data in and the model just goes wherever the data takes it um i realize that rl doesn't totally fit this analogy but it goes towards this like very underspecified point um but interpretability is sort of the thing that lets us go to a closed loop control because we can say like oh we're going to go in this direction you know yeah”Play from 15:02Report a misattribution
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