I'm just playing devil's advocate here.

Yes, but still "how to cook" is not atomic. It involves knowing how to move stuff, how to measure, what "cooked" looks like in different environment (i.e. different lighting) or variations in ingredients, how to recover from specific failures (i.e. a good cook can fix accidentally adding too much salt, by counter-balancing with an ingredient that absorbs the extra salt). And this is only one skill.

It's a bit how deep image neural nets work, where simply detecting shape primitives is not enough, the net is also the connection and relation between those primitives.

Even saying, the AI should just have the "cooking" or "coding" skill, trivializes the problem.

> Humans spend 99% of their life on boring repeating tasks

But we are also non-stop unconciously learning about the world non-stop, from the analgous stream of inputs and seeing the immediate result/feedback. Even looking at static picture is like over-training a specific dataset.