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by xapata 1838 days ago
Humans require fewer examples to learn language rules. It's not clear that humans use the same learning model a "deep net."
1 comments

Humans also require a lot of examples to learn a language - years of everyday practice for a young human. Learning algorithms are not the same, but you still need to train a large neural network - lots of neurons with lots of connections (weights) - whether it's in your head or in a datacenter.
There’s some evidence that humans have a Universal Grammar and learn through deletion. And humans can not learn any old language — only a restricted class — meanwhile there’s no reason to think that an ML model would have that problem.

I’d encourage you to read a little more about the topic with an open mind. You might learn something.