AI fundamentals rest on pattern recognition at scale—machines learning to identify statistical regularities in data and predict what comes next, which works remarkably well for narrow tasks but remains fundamentally different from understanding. Grasping this gap between pattern-matching and reasoning changes how you interpret what these systems can and can't do.
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