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by sjg007 1729 days ago
This is likely part of the reason. The only problem is said models require a lot of data but Humans can learn from a very small number of examples.
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Humans are continuously pretrained on a variety of tasks, though. Teaching a kid to say one word takes about a year...
And the very same system that is being trained to say a word is also being trained to recognize intent from intonation all the while. As soon as it can say it, the child will likely use that one word with different tones to mean different thing successfully.

We are insanely complex machines...