> the difficulty today is to know what to feed it and to know what that means for the real life performance. This has always been the difficulty. Generalizat

> the difficulty today is to know what to feed it and to know what that means for the real life performance. This has always been the difficulty. Generalization is the fundamental problem in machine learning. Making easily available tools has led to an exponential growth in applications as more people play with it (many without understanding what they are doing or why), but predictably hasn't lead to an exponential growth in successful applications.