The next major advance in AI came from a shift from training networks to recognize patterns to training networks to predict patterns, beginning with Gerald Tesauro's network in 1992 that learned to play Backgammon by predicting probability of winning from board positions rather than using human-designed rules.

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Gerald tessaro was building on this line of work and he created a neural network that could play back gamon his network was trained to Output a probability of winning for a given input board position

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How LLMs Took Over The WorldArt of the Problem
Created: 8/11/2026, 7:30:08 AM

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