Have you ever asked an artificial intelligence something simple, only to receive a blatantly illogical answer? It's not a defect in the model. It's a defect in the prompt.

A trivial yet revealing experiment: asking an LLM whether it's better to go on foot or by car to reach a car wash 40 metres away. Without context, the answer is wrong. Rephrasing the same question with an appropriate cognitive frame, the model identifies the paradox, resolves it, and does so with a touch of sarcasm.

Through a rigorous architectural analysis — attention mechanism, probability distribution over tokens, shortcut reasoning — this article explains why a structured prompt activates radically different computational pathways. A competence that is critical today for anyone working seriously with language models.

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