What AI Is Not - The Myth of Thinking Machines

When an AI system produces an eloquent paragraph or a sharp forecast, it feels intelligent. But that’s an illusion born of fluent output. The model isn’t thinking; it’s statistically imitating the structure of thought. It doesn’t know truth, only probability.

If you ask it for a credit summary, it predicts which sequence of words most often follows “credit summary” in its training data. Its strength is correlation, not comprehension.

Treating correlation as comprehension is the first cognitive trap of AI adoption.

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