My intuition is that general-purpose causal inference won’t be valuable in AIs until those AIs have world-models which are at least as sophisticated as crows
I am confused by what you think. You write in a footnote that you agree with Wikipedia’s description, which says crows have causal reasoning. That would likely imply that AIs won’t get world-models as sophisticated as crows’ world models until they have causal reasoning.
I meant as sophisticated as crows in terms of basic pattern recognition, and the number, diversity, and generality of the concepts they can learn. Maybe that just means throwing more cpu power at existing ML approaches. Maybe that requires better ways of integrating a more diverse set of approaches into a single system.
Maybe I don’t have a clear enough meaning of “sophisticated” to be of much value here.
I am confused by what you think. You write in a footnote that you agree with Wikipedia’s description, which says crows have causal reasoning. That would likely imply that AIs won’t get world-models as sophisticated as crows’ world models until they have causal reasoning.
I meant as sophisticated as crows in terms of basic pattern recognition, and the number, diversity, and generality of the concepts they can learn. Maybe that just means throwing more cpu power at existing ML approaches. Maybe that requires better ways of integrating a more diverse set of approaches into a single system.
Maybe I don’t have a clear enough meaning of “sophisticated” to be of much value here.