Safety and Alignment in an Era of Long-Horizon Models

OpenAI shares lessons from deploying long-running AI models. The article focuses on safety risks that emerge over extended operation, failure modes observed in practice, and safeguards improved through iterative deployment. It broadens the alignment discussion beyond evaluating isolated responses toward monitoring behavior, state, and accumulating risk across longer tasks. The supplied summary does not provide specific model names, incident counts, benchmark results, or technical implementation details.