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Or you can train multiple ones with a kind of evolutionary approach - e.g. you train 100 at the same time and after a day you take the one with the best results, overwrite the rest with it's weights/config/etc. and repeat until satisfied.


Right. But it's not the learning. It's the ability to scale what's learned.

Humans learns one by one by one effectively in silos.

Robots? There's no comparison.




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