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passive_fist comments on LINK: AI Researcher Yann LeCun on AI function - Less Wrong
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They are closely related but not the same thing.
A counterexample is chess.
What an ideal chess player does? It predicts which move is optimal. May be a tricky feat, but he is good and predicts it well.
I looked this thread in past minutes and I clearly saw this "ideological division". Few people thinks as I do. Other say - you can't solve causal problems with a mere prediction. But don't give a clear example.
Don't you agree, that an ideal "best next chess move predictor" is the strongest possible chess player?
Maybe it would be useful to define terms, to make things more clear.
If you have a time-process X, and t observations from this process, a predictor comes up with a prediction as to what X_t+1 will be.
On the other hand, given a utility function f() on a series of possible outcomes Y from t+1 to infinity, a decision maker finds the best Y_t+1 to choose to maximize the utility function.
Note that the definition of these two things is not the same: a predictor is concerned about the past and immediate present, whereas a decision maker is concerned with the future.
This "t+1" might be "t+X". Results for a large X may be very bad. So as results for "t+1" may be bad. Still he do his best predictions.
He predicts the best decision, which can be taken.