maybe a couple of years back in the early experiments, but not today, if it were easy to get them to do it still, the activists would have by now
Our brains are entirely too small to recognize the patterns encoded from the gigantic training data set. But they are there nonetheless.
This is easily seen if you try get *any* neural network to generalize to *any* non-trivial task (in this case, XOR for example I consider to be trivial). There are no non-flickering, stable vision models that can recognize a human/dog/cat/whatever in all the lighting settings we can without false positives. The models are only getting better because they are getting bigger and are provided with more data. This is *not* generalization.
If you change the definition to be more flexible, sure, you can claim such things. But I will disagree because under this definition humans are largely just regurgitating too. Consider how evolution has been a similar training regime for organic systems.