Why Models Tend to Fabricate Answers
EXM7777 · x · 2026-07-13
The poster highlights a perspective: AI fabrication stems from training reward mechanisms. Correct answers with sources earn high scores, whereas admitting uncertainty with "I don't know" gets no reward. Over time, models learn to output plausible-looking content instead.
This issue scales up to autonomous agents: an agent incapable of recognizing its own uncertainty is unfit for independent action. The author argues that the real bottleneck isn't raw intelligence, but the ability to output confidence-calibrated decisions and automatically defer to humans when confidence is low. The mentioned product, Sage, is specifically designed around this "decision model" and low-confidence escalation mechanism.
Related event: Reward Mechanisms Cause AI to Fabricate Sources(2 posts)→
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