Causes and Fixes for Reasoning Model 'Doom Loops'
helloiamleonie · x · 2026-07-07
A LiquidAI engineering blog analyzes the "doom loop" phenomenon where reasoning models get stuck mid-thought, repeatedly generating tokens like "Wait" and "Let me reconsider" until the context window fills up. Three main causes are identified: over-trained tokens dominating under uncertainty, self-reinforcing context increasing repetition probability, and low-temperature greedy sampling always favoring the most likely token. The standard fix is applying a repetition penalty.
Related event: Liquid AI Open-Sources Antidoom to Fix Reasoning Model Doom Loops(8 posts)→
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