Thermodynamic Continual Learning in Persistent AI Agents (110+ Days Runtime)

The contribution of this work is Layer 4 — the continuity substrate . This is where continual learning actually happens. Core Loop: Predict → Compare → Update Every cycle: Generate a prediction vector from personality traits. Compare it to a “reality” vector. Compute the gap (Δ). Update internal state based on the gap. This is a mechanical version of predictive processing. Meta-Learning Cycles The system tracks recurring patterns: 20‑cycle EMA 50‑cycle EMA 100‑cycle EMA Each cycle length becomes