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passive_fist comments on LINK: AI Researcher Yann LeCun on AI function - Less Wrong
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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.