Most of the effort of evolution was making cells work at all, and even then it's a bit weird, e.g. no plant or animal produces vitamin B12 and we all get this from some bacteria and archaea.
And evolution is kinda hard to time right: bacteria can reproduce in minutes, humans in decades, but only mutations that survive reproduction can be passed on. This makes it even starker as a difference: bacteria had order of 1e13 generations to become multicellular, while human DNA had about 40,000 generations to cope with fire, 220 generations for evolution to do anything with the invention of the wheel, and one generation to cope with the invention of Minecraft.
The analogy here would be: DNA is to our brains like a VN replicator bootstrapping a computer all the way up to a bare-metal-no-OS untrained model, and perhaps a few crude "hard coded" modules like a smiling-face-detector. It's a lot, but it's also missing a lot. If biology used the models and training processes that are state of the art in ML, it would take around a millennia to talk like a child and still fail the Sally-Anne test, and million years or so to pass a degree.