Hmm, sounds like what we've been doing with computer based optimization for decades--using everything from simple Monti Carlo analysis to evolutionary computation. I don't see what is so new besides the amazing computing power now available (which will pale beside what quantum computers will be doing a decade from now).

Of course, the real problem here is good-old garbage-in garbage-out. If you don't understand the solution from a theoretical perspective, its hard to throw out nonsense. For example, if you try to have a computer empirically derive equations for the motion of the planets, you could very easily wind up with epicycles depending on the inputs and search algorithm. They'd fit the data ok but provide no scientific insight and be useless when applied to new objects.

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