Not sure "biases" gives the evolved structures in our brain enough credit. Maybe the functions of those structures could be emergent, in a large enough network, but that would be very different context to what a human sees in its extremely rapid development. The rapid learning could be from the unique architecture. The free running feedback loop (consciousness) that we have seems like a good example of how different our architecture is, with our ability to continuously prompt ourselves, and learn from those prompts.

Yeah but I disagreed about your point "Current AI requires far more examples than we do to learn from", since I think you need to count the amount of data that was seen by all your ancesters, maybe even starting from the first self-replicating molecule, billion years ago.

Fair enough. I wouldn't go quite that far — at absolute most I would accept since the first prototype of a neural cell — but the estimates I've seen for what data/training AGI would need if it requires a simulated re-run of modern human evolution to be trained is more than current (or at least recent) AI.