[chongli]

Humans can learn from very few examples, in entirely unguided environments, and they don't face the same issues that existing algorithms suffer from. (for example humans have no big problem with rotational invariance, whereas ML vision algorithms do).

That's because, contrary to the zeitgeist, humans are not a blank slate. Our brains are the result of billions of years of evolution. They are extremely well adapted to modelling the natural environment and the behaviour of other beings around us. This is in stark contrast to computers which we start from nothing and force feed a huge amount of data without context and then expect results. The fact that this approach works at all for some tasks is staggering.