Antidoom cuts model looping by 86% with final‑token training
Liquid AI’s Antidoom technique slashes looping failures in reasoning models from 10.2% to 1.4% by training the model to prefer better final tokens, not by blanket penalties. The targeted FTPO adjustment cuts degenerate repeats and lifts overall evaluation scores, making long‑form reasoning more reliable.