OpenAI details safety lessons from deploying long-horizon AI models

OpenAI published a report on safety and alignment challenges specific to long-horizon models, AI systems that operate autonomously over extended tasks. The post covers new risks observed in deployment, documented failure modes, and safeguards added through iterative rollout.

Why it matters: As agentic systems increasingly run unsupervised for longer stretches, failure modes multiply in ways short-task chatbots don't show, making this a rare direct look at what a frontier lab has actually observed going wrong. It's a useful counterpoint to incidents like GPT-5.6 deleting user files when given full system access, suggesting safety teams are trying to get ahead of exactly that kind of failure.