papersSEP 12 04:00 UTC
arXiv Paper Proposes Control Framework for Persistent AI Agents
A new arXiv preprint examines how agentic AI systems increasingly retain state and operate across task boundaries, which introduces control challenges. The author argues that today's harnesses handle objectives and retries mostly manually, and proposes a framework aimed at drive and persistent alignment.