opinion claim
Tom McGrath considers techniques that preserve a representation while removing incentives to change it more promising than techniques that directly suppress the representation.
Tom McGrath · Designing How AI Grows — Tom McGrath · 2 Sept 2026
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The transcript segments this claim was taken from
“And I think that the sort of set of techniques that I think is most promising are ones that kind of don't try and...”
“bash the like don't try and directly squash the representation but kind of remove the incentive to change it um and so things like positive preventative steering and kaft um concept ablation fine tuning i think are much or inoculation prompting are much stronger as like a much more promising as classes of techniques for that reason because they're not like”
“You're not trying to squash it. You're sort of trying to change the learning process as a whole to move kind of move the equilibrium”Play from 25:13Report a misattribution
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