Safety and alignment in an era of long-horizon models

OpenAI has published findings from its experience deploying long-horizon AI models, which are designed to execute complex, multi-step tasks over extended periods. The report identifies specific safety risks and failure modes associated with these systems, such as planning errors and goal drift. By detailing these challenges, the company aims to establish more robust evaluation and monitoring protocols. This work informs how developers can maintain control as autonomous systems move beyond simple queries to manage prolonged, sequential operations.