The recently proposed O(n log n) integer multiplication algorithm [pdf]
Summary
LLMs cannot provide trustworthy confidence scores because their outputs are text continuations, not calibrated measurements. The article explains calibration concepts, why a score changes with wording or context, and how to build a rule-based confidence measure that reflects information used and actual outcomes. It also offers a practical, data-recording approach to maintain calibrated confidence over time.