AIMIT Researchers Develop a New Metric That Catches Overconfident AI Models Before They Hallucinate
A new uncertainty measurement technique from MIT combines self-consistency checks with cross-model disagreement to flag when LLMs generate confident but incorrect responses.
Dr. Nova Chen★Mar 22, 2026★4 min read
