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A single, baffling move in a 2016 Go match helped reveal a deeper truth about modern artificial intelligence: systems that appear to reason may instead be pattern engines operating at extraordinary scale. The lesson has only grown more urgent as large language models are now routinely treated as if they understand, deliberate, and infer in human terms.
A famous moment in the 2016 AlphaGo match against Lee Sedol is often remembered as proof that machines had begun to think like humans. It was not. The move that stunned observers in Seoul revealed something more specific and more important: pattern mastery, not reasoning. That distinction matters now as large language models are routinely described as intelligent systems when they are, in fact, powerful statistical engines with striking limits.
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