Ironically, the human tendency to read far too much into things for which we have far too little data, does seem to still be one of the ways we (and all biological neural nets) are more sample-efficient than any machine learning.

I have no idea if those two points, ML and brains, are just different points on the same Pareto frontier of some useful metrics, but I am increasingly suspecting they might be.