Liquid AI releases Antidoom to remove doom loops in reasoning models

Liquid AI has released Antidoom, an open-source method designed to eliminate the "doom loop" failure mode commonly found in reasoning models. The company provided evaluation scores demonstrating significant reductions in error rates for specific model checkpoints.

• Early LFM2.5-2.6B checkpoint doom-loop rate dropped from 10.2% to 1.4%.
• Qwen3.5-4B doom-loop rate decreased from 22.9% to 1% using greedy sampling.

The release aims to improve the reliability of reasoning models by addressing this specific failure pattern.