How I Built Collapse Detection for Persistent AI...

F_total is your model's prediction error energy — cross-entropy loss for LLMs, TD error for RL agents. F_survival is the minimum energy required to maintain operational integrity. k(s) is a sensitivity constant that grows with runtime. Quick Start from tci_calculator import TCICalculator from k_estimator import KEstimator k_est = KEstimator(window_size=100) tci = TCICalculator(f_survival=0.35) f_total = 0.72 complexity = 0.61 k = k_est.update(f_total - 0.35, complexity) result = tci.compute(f_to