I don't know about evolution, but most current AI work is done through first principles rather than copying the brain. Neural networks, despite the name, were o

I don't know about evolution, but most current AI work is done through first principles rather than copying the brain. Neural networks, despite the name, were only vaguely inspired by real neuroscience. And now are entirely rooted in basic calculus and maybe probability theory. It may very well happen the other way around, that AI researchers figure out intelligence and then use their discoveries to explain neuroscience. Which is already happening a bit, with a well known researcher recently proposing a theory on how the brain might implement a variation of the backpropagation algorithm. Figuring out the brain is like trying to reverse engineer messy spaghetti code that has gone through an obfuscating compiler. Although it may be possible to figure it out, it's probably faster to just write our own code.