Digital Rejuvenation via Recursive Reparodynamics: Simulated Reversal of Entropic Decay in Telomere Analog Models

This study extends Reparodynamics and the Targeted Gradient Repair Mechanism (TGRM) framework to biological entropy analogs. Using Grok AI’s public simulation engine, a telomere-shortening model was executed under recursive TGRM control. Results demonstrated stabilization of decay near 79.47 units (vs. total collapse in control by generation 50), achieving effective rejuvenation within 25 generations. These findings represent the first digital validation of self-repair surpassing natural degradation thresholds, aligning with Reparodynamics’ Adaptive and Evolutionary Laws and supporting its application to biological aging and longevity systems. Part of the Reparodynamics Open Science Initiative. Simulation data generated publicly via @Grok on X (Twitter) — October 2025. Builds upon DOI 10.5281/zenodo.17427669.