What is the Goldilocks rule of AI

The Goldilocks rule of AI suggests that for optimal learning and performance, algorithms need challenges that are “just right”—not too easy, not too hard. This balance fosters growth, ensuring AI systems evolve effectively while avoiding frustration or stagnation.