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I love this part: "Google built the largest pattern recognizer of them all, a system running on sixteen thousand processor cores that analyzed ten million YouTube videos and managed to learn, all by itself, to recognize cats and faces" with 15.8 percent accuracy.

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Its interesting and all, but compare it to a human baby. It takes them several months of data processing to learn things like object permanence. While 16 thousand processor cores may seem like a lot, I seriously doubt it even approached 1/10th of the power of a babies brain. Indeed, I doubt it was even 1/10th of the power of the region of the babies brain dedicated to recognizing objects.

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