You're comparing training a model from scratch in ML, to the equivalent of model fine-tuning in humans. It's unfair and incorrect. Eg, no human can drive without first learning to operate their limbs, recognise shapes etc.

The GP is pointing out that training in fine muscle motor skills, self-awareness and ability to project self-awareness to other objects under ones control etc, all took many thousands of years to develop. AI is faster.

However, it's again unfair, as AI only knows what it knows from us, so in that sense any comparison is built on shaky ground.

But for the purposes of comparing a stock human brain as hardware, versus a current high-end GPU specifically in terms of ingesting information and then perform tasks, the GPU beats the human brain "hands-down" in any category.

The only categories it doesn't are simply ones that no one has trained it to yet - so the argument on a pure hardware capability basis stands.