zlacker

It is a good thing for deep NNs to be expressive enough to do this, because it is this level of expressivity that let's it find answers to otherwise ill-posed problems. If it were not able to do this there would be no point in using them.

The only thing that is scary is the hype, because this will make people sloppily use deep learning architectures for problems that do not need that level of expressive power, and because deep learning is challenging and not theoretically well understood, there will be little to no attempts made to ensure safe operation/quality assurance of the implemented solution.