AINeutralarXiv – CS AI · 15h ago6/10
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Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems
Researchers introduce AgingBench, a longitudinal reliability benchmark that evaluates how AI agents degrade over time in production environments rather than just at deployment. The study reveals that agent reliability decays through four distinct mechanisms—compression, interference, revision, and maintenance aging—and that fixes must target specific failure stages rather than assuming stronger base models solve the problem.