[zigzigzag]

You're assuming electronic AGI would inherently be superior to biological. Yes machines are "fast" in some senses but are still much less parallel than the brain. Brains can learn something based on only a few examples, even our best deep learning and ML algorithms today require vastly, vastly more data to train on than humans do.

[gliptic]

Maybe because ML algorithms of today aren't AGI. Also because humans have already trained on lots of data from birth.

There's no reason machine intelligence would be much worse at this and still be called AGI. It's an active area of research called one-shot learning.

[c22]

I think the "faster iterations" would come from improved malleability, not necessarily faster "thought".