Training data filtering

Misbehaviour scores and past failure rates predict fine-tuning misalignment before training

AlignmentForecastBench researchers forecast fine-tuning misalignment above chance across 17 models and 32 datasets, using a data score and past failure rates. Frontier LLMs reading only the raw data barely beat chance, so the screen depends on a record of past fine-tuning failures.