4 sources healthy · latest episode 9 Nov 2026
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 Sep 2026

In their words

The transcript segments this claim was taken from

“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”
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