The "Confidence Trap" is the mistake of relying on one model’s output as...

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The "Confidence Trap" is the mistake of relying on one model’s output as absolute truth. In regulated settings, this is dangerous. Our April 2026 analysis of 1,324 turns found that even leading models from OpenAI and Anthropic have blind spots