A visual proof that neural nets can approximate any function
Approximate, not compute. The function also must be continuous. NNs are good for approximation / interpolation / extrapolation, which makes them quite useful for certain domains of problems. But of course, it does not make them a kind of universal computing machine (in the computability sense, like universal Turing machines).