Safety and alignment in an era of long-horizon models
OpenAI reveals new safety risks and failures from deploying long-running AI agents
OpenAI published lessons learned from deploying long-horizon (agentic) AI models, surfacing novel safety risks and observed real-world failures that shorter-context models don't exhibit. The post signals that iterative deployment is now OpenAI's primary mechanism for discovering and patching alignment gaps. This matters because it frames production deployment—not lab research—as the new frontier for AI safety work.