Occam's Razor: Why Simpler AI Models Often Beat Bigger Ones

Occam's razor, a 700-year-old principle, advises choosing simpler explanations. In AI, it warns against overfitting, where models memorize rather than learn. The article argues that for many tasks, smaller, cheaper models like Claude Haiku suffice, avoiding the high cost of larger models like Claude Opus.