Tiny AI Model Gets Trust Checker to Curb Hallucinations

An R&D experiment paired OPT-125M, a 125M-parameter language model, with HUQAN's agentic framework to add a trust hierarchy. The system assigns baseline scores to information sources and blocks self-reinforced false claims. In tests, it raised safety response confidence from 0.28 to 0.95 and corrected climate misinformation, while properly rejecting a fabricated study.