New Theory Proves AI Systems Can Persist Without Infinite Deterioration

It is a mathematical framework proving that AI systems can operate through repeated cycles without unbounded structural aging, using a redundancy-adjusted artificial age score.

It boosts confidence in long-term AI investments for enterprises and governments, indicating systems can remain stable and effective over multiple operational cycles.

A metric that defines the structural age of an AI system based on component consistency, adjusted for redundancy, used to assess persistence.

It targets researchers and developers for theoretical understanding, and enterprises for evidence-based investment decisions on system reliability.