Burp: A Universal Schema for Drift‑Free Reasoning
Burp is a universal schema designed to enable drift‑free reasoning in AI systems. It provides a structured framework to maintain consistency and accuracy in reasoning processes without degradation over time.
Background
Burp is a proposed universal schema for AI reasoning that aims to eliminate "drift" — the tendency of chain-of-thought (CoT) reasoning to wander off track or degrade in quality over long contexts. It formalizes reasoning into structured, auditable steps that can be verified and reproduced. The project is led by Denis Bailey (denisbailey-RS), and the schema is designed to be model-agnostic, meaning it could work across different LLMs. This matters because as AI systems are used for more complex, multi-step tasks (e.g., code generation, legal analysis, scientific reasoning), the reliability and traceability of their internal reasoning becomes critical. Drift is a known failure mode in GPT-4, Claude, and Gemini, and Burp aims to address it at the architectural level rather than through prompt engineering alone.