I find it interesting how elephants have 257 billion neurons, which is about three times the number of neurons as a human brain. But their cerebral cortex has only about one-third of the number of neurons as a human's cerebral cortex. Brains have extremely limited architecture compared to what's theoretically possible in the space of all possible intelligences The platonic representation hypothesis is true in weaker form for AI systems, and more weaker form for AI x biological systems https://arxiv.org/abs/2405.07987 when i see how ai data centers eat gigawatts of power and i eat just bunch of carbs to power my few tens of watts brain to do similar tasks, im thinking how far could we go if we would slurp terrawatts equivalent worth of carbs instead on this more efficient flesh hardware, but upgrade is needed to reach this fuller potential of the flesh i often wonder to what extend all the implementation details of the brain down to the complexity of the cell, proteins, neurochemistry, etc., level are actually relevant for intelligence The brain isn't Turing complete because it has a fixed memory size so it lacks a potentially infinite tape. But a person who can write on a potentially infinite amount of paper becomes Turing complete. But if we wanted the brain itself to be Turing complete, we would need transhumanism to advance to the point where we could add biological or non-biological neurons acting as memory, thus potentially expanding our memory infinitely.