Jev Uses Reinforcement Learning for Calibrated AI Alignment Detection
September 23, 2026
Jev uses Reinforcement Learning for Calibrated Decisions (RLCD) to provide calibrated probabilities for multiple alignment failure types in a single call. The model was benchmarked across ten failure modes, including jailbreaks, hallucination, and sycophancy, using the RLCDAlignBench framework.
HOW THIS AFFECTS YOU
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builderYou can replace multiple expensive generative judge calls with a single calibrated inference pass.
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policyYou can use calibrated probability scores to better quantify the risks of model alignment failures.