Research1h ago
New Framework Tracks AI Structural Aging
A new paper introduces the Artificial Age Score (AAS) to measure structural decay in AI systems over repeated cycles. The model uses a redundancy-aware logarithmic penalty to determine if a system can persist indefinitely without unbounded aging. This theoretical framework helps researchers quantify long-term stability. It provides a metric for assessing consistency in iterative AI updates.