Thesis: Confidence should not merely describe what an AI system believes. It must actively determine what the system is allowed to do.
The Confidence Problem: Why Fluent Models Fail in Production
Modern Large Language Models (LLMs) possess an incredible capacity for fluency. They articulate complex code, formulate diagnostic hypotheses, and draft convincing legal arguments. However, in production engineering, fluency is frequently confused with correctness, and plausibility is mistaken for safety.
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