The bitter lesson is the observation in artificial intelligence that, in the long run, general approaches that scale with available computational power tend to outperform ones based on domain-specific understanding because they are better at taking advantage of the falling cost of computation over time.
The principle was proposed and named in a 2019 essay by Richard Sutton and is now widely accepted.
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April 15, 2026


