Oh, it's exciting, because it's a big state space and good metaheuristics for big state spaces are exciting. Having too large a space to search is the thing that makes AI applications hard. I don't mean to belittle it, just to object to the passage flagamuffin quoted extrapolating out to AI Eschaton. It learns to explore game trees, without exploring the whole intractably large tree but without skipping too many of the good branches either; you can probably teach it to play chess and checkers too. You are not going to teach it to solve differential equations, unless you want to try to represent solving differential equations as a two-player strategy game. Like every learning algorithm now or in the future, it learns a particular class of function.