Because artificial neural networks are a better version of the brain, whatever neural networks cannot do, the brain cannot do:
If humans can solve problems that neural networks cannot solve, the human mind is doing something a neural network cannot do. Hence, the human mind is also doing something that the brain cannot do.
At this point, we can say that, because neural networks can’t compete against the human mind except in very narrow fields, then neural networks won’t ever match human performance — and hence the mind is not the brain.
Though compelling, this argument will not satisfy nerds, who want hard scientific data. So, I will give you some hard scientific data in my next post where I present a logic experiment that shows that humans can provably outperform neural networks.
Eric Holloway, “Artificial neural networks can show that the mind isn’t the brain” at Mind Matters News (July 24, 2022)
Takehome: The human mind can do tasks that an artificial neural network (ANN) cannot. Because the brain works like an ANN, the mind cannot just be what the brain does.
You may also wish to read: The Salem Hypothesis: Why engineers view the universe as designed. Eric Holloway: Not because we’re terrorists or black-and-white thinkers, as claimed. A simple computer program shows the limits of creating information by chance. Engineers doubt chance evolution because a computer using an evolution-based program would be chugging away well past the heat death of our universe.