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Why do we care about this? Chess AI have long been solved problems and LLMs are just an overly brute forced approach. They will never become very efficient ches
by deadbabe 8mo ago
Why do we care about this? Chess AI have long been solved problems and LLMs are just an overly brute forced approach. They will never become very efficient chess players.
The correct solution is to have a conventional chess AI as a tool and use the LLM as a front end for humanized output. A software engineer who proposes just doing it all via raw LLM should be fired.
- rodiger 8mo agoIt's a proxy for generalized reasoning. The point isn't that LLMs are the best AI architecture for chess.
- runarberg 8mo ago> It's a proxy for generalized reasoning. And so for I am only convinced that they have only succeeded on appearing to have generalized reasoning. That is, when an LLM plays chess they are performing Searle’s Chinese room thought experiment while claiming to pass the Turing test
- deadbabe 8mo agoWhy? Beating chess is more about searching a probability space, not reasoning. Reasoning would be more like the car wash question.
- famouswaffles 8mo agoIt's not entirely clear how LLMs that can play chess do so, but it is clearly very different from the way other machines do so. The construct a board, they can estimate a players skill and adjust accordingly, and unlike other machines and similarly to humans, they are sensitive to how a certain position came to be when predicting the next move. Regardless, there's plenty of reasoning in chess.
- deadbabe 8mo agoIt’s very clear how, chess moves and positions are vector encoded into their training data, when they are prompted with a certain board state, they respond with the most probable response to that. There is no reason.
- famouswaffles 8mo agoActual Researchers can't give you a complete answer but you can. Whatever you say.
- deadbabe 8mo agoGuess what, I’m a researcher. I have published papers.
- famouswaffles 8mo agoOkay