Yes, but.

The human genome isn't that big (3.1 gigabases), and most of that is shared with other species that aren't anything like as intelligent — it's full of stuff that keeps us physically alive, lets us digest milk as adults, darkens our skin when exposed to too much UV so we don't get cancer, gives us (usually) four limbs with (usually) five digits that have keratin plates on their tips, etc.

That pre-training likely gives us innate knowledge of smiles and laughter, of the value judgment that pain is bad and that friendship is good, and (I suspect from my armchair) enough* of a concept of gender that when we hit puberty we're not all bisexual by default.

Also, there's nothing stopping someone from donating their genome to be used as a pre-training system, if we could decode the genome well enough to map out pre-training like that.

* which may be some proxy for it, e.g. "arousal = ((smell exogenous sex hormone) and (exogenous hormone xor endogenous hormone))", which then gets used to train the rest of our brains for specific interests — evolution is full of hack jobs like that

Yes. But that is not part of the training cost; this is basically the equivalent to figuring out a suitable artificial neural net architecture and hyperparameter tuning in general. That is not energy cost that you pay per training run, but fixed cost overhead instead.

You raise a good point that when doing artificial training, the "environment" has to be provisioned as well (i.e. feeding audio/visual/text input in some way to do the training), but here I would argue that in energy terms, that is a rather small overhead (less than an order of magnitude) because our digital information storage/transmission capabilities are frankly insane compared to a human already (and reasonably efficient as well).