The speaker thinks AI systems’ uneven strengths may be especially useful for recursive self-improvement, where objectives are clearer and success can be measured more directly.

“i think it's uh i think it's pretty accurate that look i mean yeah these things are very spiky and if everyone comes to mathematics they're like way better in some ways but they're also worse in other ways but the ways that they're spiky end up i think probably being particularly useful for things like rsi and you know you have a more clear objective there's it's just like more measurable it's more like there's less question of like well what”

“what what new branches of mathematics are worth exploring like no there's a very clear answer it's like certain metrics that you care about and if you can make it do better on those metrics then you succeeded so i think there is there is a lot of truth to that and”