The specialization of human intelligence, perhaps paradoxically, is also the source of its generalization power.
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To learn from data, one must make assumptions about it. The exact nature and structure of these assumptions in humans is what defines our capabilities -- strong enough to enable efficient learning, abstract enough to generalize to a broad range of tasks.
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I think we're slightly better at making assumptions though.
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Like I've just done, come to think about it.
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Tom Mitchell's paper on bias and how it's essential to learning makes this point well.
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