A new paper introduces the Artificial Age Score (AAS) to track how AI systems degrade over repeated operational cycles. The model uses a redundancy-aware logarithmic penalty to quantify structural aging. This theoretical framework helps researchers determine if a system can persist indefinitely. It provides a concrete metric for assessing long-term stability in autonomous systems.