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For the slow ones among us: Machine "learning" is not human learning. It is not similar to, analogous to, or in any way remotely comparable.


It seems obvious how they're comparable, in the same way that you can compare a parrot talking to human speech.

Black-box both systems and there's enough similarity to make a layperson go "Huh. Those look remarkably similar," even if the mathematicians among us know the underlying mechanisms, inputs, and outputs are quite different.


if the inputs, mechanisms and outputs are different then they're...not comparable?




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