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The article argues that the next major competitive axis for serious AI systems is reliability and trustworthiness, not just capability or fluency. It highlights emerging verification techniques—such as independent checks and rubric-based grading—that aim to catch confident but false outputs, a failure mode termed 'pseudo-correctness.'