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Liquid AI releases Antidoom, an open-source method that fine-tunes reasoning models to break repetitive token loops (doom loops), reducing failure rates from ~23% to 1% on Qwen3.5-4B without retraining or RL.
Liquid AI introduces Antidoom, a method using Final Token Preference Optimization to reduce repetitive doom loops in small reasoning models during inference, cutting loop rates from 10.2% to 1.4% while improving evaluation scores.