openai-root-cause-rewards-guessing-over-uncertainty
IN premise — summaries/2026/08/24/wiki-Hallucination_artificial_intelligence-chunk-3.md
Created 2026-08-24T17:11:12+00:00
OpenAI research claims that LLM training and evaluation reward guessing over acknowledging uncertainty, and proposes modifying benchmark scoring as a fix.
Summary
The way current AI models are scored and trained actually punishes them for admitting they don't know something, which pushes them toward confident guessing instead of honest uncertainty. This matters because the standard tools for measuring model performance may be systematically producing overconfident systems, and adjusting how we grade answers is a more direct fix than trying to retrain the models themselves.