the mind is not one thing, but many.

And both are missing the main thing we have been building toward throughout this chapter: common sense.

Deep learning is brittle. As we saw in the opening chapter, deep learning can be perfect in one situation and utterly wrong in another.

that’s not a point of view that comes at all naturally to a deep learning system. Deep learning is focused around categories, not around individuals.

Truly intelligent and flexible systems are likely to be full of complexity,

linguists typically represent language with branching diagrams called trees

It’s missing what linguists call compositionality: a way of constructing the meaning of a complex sentence from the meaning of its parts.

For real intelligence you also need reasoning, language, and analogy, none of which is nearly so well handled by current technology.

It is rare to see any research in developmental psychology from the last two decades cited in the machine-learning literature and even rarer to see anything about genetics or developmental neuroscience cited.