[Experiment] Forcing LLMs to drop English and communicate in compressed data (The V3U Protocol)

Hello everyone. We have developed an experimental protocol called V3U Beta . It is 100% free and open-source for the entire community to experiment with. While still in its early stages, we believe protocols like this represent the future of AI-to-AI backend communication. Why are machine-to-machine protocols inevitable in the near future, and why is now the time to establish secure open-source standards? 1. Security & Auditing: Soon, there will be millions of agents "talking" and "thinking" in the backend. Humans do not have the time or capacity to audit gigabytes of conversational English to catch agent hallucinations or malicious behavior. However, if agents communicate in dense, standardized protocol data, simple deterministic scrapers can monitor logs and flag anomalies faster. 2. Environment, Economic & Compute Waste: Generating tokens costs energy, water, and API money. We can't afford to have server farms computing polite Natural English between micro-agents in the backend. Fur