Our brains have lots of highly specific bits of hardware that corresponds to different parts of the body, or different tasks such as recognizing faces. Most of

Our brains have lots of highly specific bits of hardware that corresponds to different parts of the body, or different tasks such as recognizing faces. Most of what our brains do isn't necessary to replicate to produce something which is, at least in some way, generally intelligent. Artificial neural networks are only trying to replicate a small subset of our brain's hardware, and relatively basic (albeit large) architectures like GPT-3 are doing this by becoming skilled at recognizing patterns, and extending them. Pattern recognition is an enormous part of our higher level (generalizable) thinking. It also means that things like our brains and GPT-3 are extremely efficient but lossy compression algorithms.