Data or Evolution?

While it's exciting to see the amount of data required to train a model shrink, I wonder if people have the right framework for training. Instead of looking at training as all the examples it takes a bot to learn a task, it might be more accurate to view training as evolving the brain of the bot. If we take the metaphor of the brain as the hardware for ai, training is not having a bot learn how to do a task it is already biologically programmed to do. IT IS learning what structures it needs to compute the problem. Imagine trying to see without the occipital lobe.