DEEP TRUTH MODE: AI Forensic Reasoning Prompt скачать в хорошем качестве

DEEP TRUTH MODE: AI Forensic Reasoning Prompt

Brian Roemmele’s "Empirical Distrust Algorithm" and "DEEP TRUTH MODE" prompt represent a coordinated effort to reorient artificial intelligence away from "coordinated modern consensus" and toward verifiable, primary-source evidence. The algorithm functions as a training-level intervention, utilizing a mathematical loss equation that penalizes high-authority, post-1995 sources while applying a massive reward multiplier to pre-1970 data such as lab notebooks and patents. Complementing this code is the "DEEP TRUTH MODE" prompt, an inference-level tool that users can copy directly into models to simulate this forensic rigor; it mandates a structured "Suppression & Incentive Audit" and "Parallel Steel-Man Tracks" to investigate suppressed hypotheses without relying on "fact-check" circularity. Together, these tools aim to dismantle the "cathedral of modern authority" within AI models, forcing them to derive conclusions from atomic, uneditable truths rather than social desirability or institutional rank. https://x.com/BrianRoemmele/status/19... https://x.com/BrianRoemmele/status/19... https://x.com/brianroemmele/status/19...