[cgearhart]

I have read this before and broadly agree with the point—it’s no use trying to curate expertise into AI. But I don’t think modeling p(y|x) or it’s friend p(y, x) is the end we’re looking for either. But, it’s unreasonably effective, so we keep doing it. (I don’t have an answer or an alternative; causality appeals to my intuition, but it’s really clunky and has seemingly not paid off.)

[sgt101]

Actually I feel like causalities time has come. The framework that has convinced me is just the simple approach of doing controlled experiments over observational data to establish causal links via DAGs no need for any drama!

[cgearhart]

It seems to be just shuffling around the hard part of the problem. Causality still depends on some unstructured optimization problem of generating and evaluating causal diagram candidates. I haven’t really seen it applied where the set of potential causal relationships is huge.