You put your finger on something though because the bottlenecks of brains are probably the reason why traditional minimax searchers are so good at chess: working memory. Humans just don't have the working memory to search to the depths computers can. frequency is interesting, but chess is inherently "working memory-bound". If you gave Stockfish a normal time control and a grandmaster two days per move, Stockfish would still win. Past about 30 minutes of thought on a position, there's not much more progress a human can make. But if you also gave the GM a second board they were allowed to make moves on, and a notebook, I bet the GM would win, because at that point you're only comparing eval functions, and a GM would still be miles ahead. I wonder if someone's done this experiment.
Re:Programming Cognitive Robots
by mtlmtlmtlmtl on Thursday September 01, 2022 @05:21AM
(#32673971)
You're right of course. Mainly by compute I'm referring to number of and complexity of neurons, not frequency.
human brain while may have larger raw compute power comparing to TPU pod has also many bottlenecks, brain works on much slower frequency per current research than 2GHz TPUs, inputs are very bottle-necked, you can't feed brain with 1TB of text in one day like you can do with neural network.