Neural Networks Have Advanced Beyond Our Understanding, and That's Kind of Terrifying

That poses a pretty major problem. For example, when a neural network screws up, engineers don't know precisely why, or whether that one screw-up represents a small fluke or a much bigger flaw in the programming. That would be a minor problem with dog pictures, but a much bigger issue when it comes to predicting diseases or driving autonomous vehicles. And sometimes these networks do things we never meant them to. AI trained to recognize objects begins to recognize human faces, for example, or two bots trained to negotiate with each other come up with their own language.