{"id":21217,"name":"ModelConfidenceValidator","purpose":"A utility that analyzes the output of on-device LLMs, specifically flagging instances where the model exhibits high confidence but produces factually incorrect or fabricated information. Provides a warning system to prevent reliance on inaccurate model outputs.","profitable":1,"date_generated":"Tuesday August 2026 11:33","reference":"project-model-validator-2026","technology_advise":["Rust","Medium"],"development_time_estimation_mvp_in_hours":100,"grade":7.5,"category":"ai","view_count":2,"similar_ideas":[],"source_headline":"I put a 45M-parameter LLM on a phone. It was 100% confident about a number it invented."}