I like this prospect: > Another unsolved problem where this approach shows promise is one of the most disturbing aspects of neural nets: No one really understa

I like this prospect: > Another unsolved problem where this approach shows promise is one of the most disturbing aspects of neural nets: No one really understands how they work. Training bits enter at one end and prediction bits emerge from the other, but what happens in between — the exact process that makes neural nets into such good guessers — remains a critical open question. > Symbolic math, on the other hand, is decidedly less mysterious. “We know how math works,” said Charton. “By using specific math problems as a test to see where machines succeed and where they fail, we can learn how neural nets work.”