Algorithms can be made to simulate the kind of tacit knowledge that experts possess, as when IBM’s Deep Blue succeeded in playing chess at the highest level in 1997. Through brute computation of every possible move that adheres to the rules of chess (200 million board positions per second), the program was able to pick winning moves. To constrain the problem, the programmers made it their goal to beat one man in particular, Gary Kasparov, the reigning champion. Knowing his preferred opening moves and strategies made the problem tractable. But in beating Kasparov at his own game, Deep Blue was
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This is a completely incorrect understanding of the way that chess engines work, and is not a good argument against white collar work. Modern chess champions all use engines to train with lmao
