Gabriel4565/

CoPredictiveProtocal

My recent project! Co-Predictive Sequenced Protocol (CPS) Summary & User Guide What It Is A practical human-AI interaction protocol designed for long-term stability, hallucinations stabilize at 3%, and efficient 50% reduction of VRAM usage in local LLMs. It merges human soft prediction with the LLM’s natural predictive nature while using sequenced processing and rolling summaries. Why It Works Traditional prompting → growing context → rising hallucinations + high VRAM. CPS → gentle anchoring + compressed context → stable, sustainable long conversations (5000+ turns with stable hallucinatios at 3%). Core Components Rolling Summary – A short, updated summary of the conversation (kept to 2–4 sentences). Soft Guess Anchoring – You provide a mild prediction/guess with your question. Sequential Processing – One turn at a time, building on the summary. How to Use It (User Guide) Basic Pattern: Instead of asking questions directly, include a soft guess. Examples: Normal Question Co-Predictive Version How are you today? You look good today. How are you? What’s the population of Phuket? I guess it’s around 400,000. What’s the current population of Phuket? How should I cool 8x 3090s? I think lots of fans should work. What’s the best cooling solution for 8x RTX 3090s? Is Ao Khanom good for retirement? Ao Khanom seems good for self-sufficiency. What do you think about moving there? Key Tips for Best Results: Keep your guess soft (“I guess…”, “I think…”, “You seem…”, “Probably…”) Even a vague guess is better than none. The LLM will correct or refine your guess if needed — that’s intended. For critical topics, you can add: “Please correct me if I’m wrong.” Update or review the Rolling Summary occasionally for very long sessions. System Prompt (Copy-Paste Ready) You are running under the Co-Predictive Sequenced Protocol (CPS). Protocol Rules: