I appreciate your response for making me think more deeply about the idea and seeing the merits in the point of the person I replied to. The task of understand

I appreciate your response for making me think more deeply about the idea and seeing the merits in the point of the person I replied to. The task of understanding the entire evolutionary process step by step that led to intelligent life is indeed more complex than any single thing that arose from it, as a necessity. One can't know every stage by which the brain developed and the purpose of that without also being able to understand the method by which it accomplishes those tasks. As an AI engineer though, the main question is not if I can understand what I created and how I created it, but rather can I engineer an environment that itself will produce the desired outcome. This is often the experience of modern AI engineers, try to find any who could explain exactly how any large model like GPT-3 works, or how it even came to work as it trained. It would be impossible to sufficiently describe and grasp the complexity of the entire process in a human lifetime with a human brain. Yet, one can with not too much trouble understand how to create an environment that will give rise to the same model again. Humans seem to be able to do many things, like run businesses or govern nations, without truly comprehending exactly all the moving pieces that accomplished it. I suppose this could be thought of as finding "leverage", where certain, more easily understood and controlled processes, can allow one to accomplish much harder and more complex things. While the points about the enormous complexity of evolution and intelligence are taken and agreed with, I'm not convinced that they mean we couldn't recreate them by leveraging simple processes like genetics and natural selection to recreate them artificially.