Heuristics are practical, rule-of-thumb strategies used to make decisions or solve problems quickly, favoring a good-enough answer arrived at efficiently over a guaranteed, exhaustively-verified optimal one. They trade some accuracy or completeness for substantial gains in speed, which matters when a fully exhaustive search would take too long or too much computation to be practical.
In AI systems, heuristics show up in areas like search algorithms, where a heuristic function estimates how close a given path is to a goal without calculating every possible route, and in decision-making systems that need to respond quickly with a reasonable answer rather than deliberate indefinitely toward a perfect one. ChatGPT similarly relies on heuristic-like patterns learned during training to interpret ambiguous input and generate a plausible, useful response rather than exhaustively reasoning through every possible interpretation.
