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For The New Yorker, Angie Wang draws parallels between toddler learning behavior and training large language models, but more importantly, where they diverge.

They are the least useful, the least creative, and the least likely to pass a bar exam. They fall far below the median human standard
that machines are meant to achieve.

They are so much less than a machine, and yet it’s clear to any of us that they’re so much more than a machine.

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