Safety and alignment in an era of long-horizon models

OpenAI has shared critical lessons regarding the deployment of long-horizon models. The organization highlights the emergence of new safety risks and specific observed failures associated with long-running AI systems. To address these challenges, OpenAI implemented improved safeguards through a process of iterative deployment. These insights focus on enhancing safety and alignment as models operate over extended periods, ensuring that the systems remain stable and secure during their long-term execution and operational cycles.