A new paper introduces the Artificial Age Score (AAS) to track how AI systems degrade over repeated interaction cycles. The model applies a redundancy-aware logarithmic penalty to measure component consistency. This framework helps researchers determine if a system can persist indefinitely without unbounded structural aging. It provides a formal metric for long-term system stability.