Why I Stopped Counting Tokens: Building a Zero‑Token Cognition Engine

LLMs are powerful, but they’re still stateless. Every prompt is a reset. Every “memory” is external. Every improvement requires more tokens, more context, more compute. I wanted something different a system that actually learns over time. So I built ThermoMind, a zero‑token cognition substrate where intelligence comes from state, not tokens. Instead of feeding prompts into a transformer, the engine runs a continuous loop: a state vector a prediction vector the gap between them surplus (internal