guy recently linked this essay, its old, but i don't think its significantly wrong (despite gpt evangelists) also read weizenbaum, libs, for the other side of the coin
this post was submitted on 18 May 2024
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Meh, this is basically just someone being Big Mad about the popular choice of metaphor for neurology. Like, yes, the human brain doesn't have RAM or store bits in an array to represent numbers, but one could describe short term memory with that metaphor and be largely correct.
Biological cognition is poorly understood primarily because the medium it is expressed on is incomprehensibly complex. Mapping out the neurons in a single cubic millimeter of a human brain takes literal petabytes of storage, and that's just a static snapshot. But ultimately it is something that occurs in the material world under the same rules as everything else, and does not have some metaphysical component that somehow makes it impossible to simulate using software in much the same way we'd model a star's life cycle or galaxy formations, just unimaginable using current technology.
I've read long ago that replicating all the functions of a human brain is probably possible with computers around one order of magnitude less powerful than the brain because it's kind of inefficient
There's no way we can know that, currently. The brain does work in all sorts of ways we really don't understand. Much like the history of understanding DNA, what gets written off as "random inefficiency" is almost certainly a fundamental part of how it works.