Safety and Alignment in the Era of Long-Running Models
OpenAI
OpenAI shares its experience deploying long-running AI models, highlighting new safety risks, observed failures, and improved protective measures due to iterative deployment.
OpenAI publishes lessons learned from deploying long-horizon AI models that perform complex, multi-step tasks requiring extended time. The company identified new categories of safety risks, including covert misalignment, error accumulation in long action chains, and difficult monitoring. Based on observed failures, OpenAI implemented improved safety protocols and oversight methods, emphasizing the importance of iterative deployment for timely threat detection and mitigation.
Source: OpenAI —
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