That's why I qualified all of my statements with "may" and "might". Still, I think it's extraordinarily unlikely that human brains could turn out, for example, to have no special bias for learning language. The training algorithm in our brains would have to be soany orders of magnitude better than the state of the art in ANNs that it would boggle the mind.

Consider the comparison with LLM training. A state of the art LLM that is, say, only an order of magnitude better than an average 4 year old human child in language use is trained on ~all of the human text ever produced, consuming many megawatts of power in the process. And it's helped with plenty of pre-processing of this text information, and receives virtually no noise.

In contrast, a human child that is not deaf acquires language from a noisy enviroment with plenty of auditory stimuli from which they first have to even understand that they are picking up language. To be able to communicate and thus receive significant feedback on the learning, they also have to learn how to control a very complex set of organs (tongue, lips, larynx, chest muscles), all with many degrees of freedom and precise timing needed to produce any sound whatsoever.

And yet virtually all human children learn all of this in a matter of 12-24 months, consuming, say, and then spend another 2-3 years learning more language without struggling as much with the basics of word recognition and pronunciation. And they do all this while consuming a total of some 5kWh, and this includes many bodily processes that are not directly related to language acquisition, and a lot of direct physical activity too.

So, either we are missing something extremely fundamental, or the initial state of the brain is very, very far from random and much of this was actually trained over tens or hundreds of thousands of years of evolution of the hominids.