Why does Norvig emphasize empirical validation?
Empirical validation is crucial because it grounds AI research in reality. Theoretical elegance is important, but if an AI system doesn't perform well on real-world data, it's not truly intelligent or useful. We need to rigorously test our algorithms and models against diverse datasets to understand their strengths, weaknesses, and limitations. This iterative process of hypothesis, experimentation, and analysis drives genuine progress.
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