Statistical machine learning models are just as brittle as hand-crafted rule-bases, when it comes to data they have not seen during training. They are incapable of genearlising outside their training set.

>> The future of generalized intelligence will not be based in brittle datasets, but purely based off repeated self-play, allowing for the bootstrapping of an infinite amount of possible data.

How will general intelligence arise through self-play, a technique used to train game-playing agents? There's never been a system that jumped from the game board to the real world.