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OpenAI describes Control Room for stopping risky model workloads

AIOpenAI says it built Control Room, a central system that tracks model workloads across its research infrastructure and stops them when safety or security concerns arise. The system connects every research inference workload, including agentic sampling for training and evaluation and data processing, and works with its misalignment monitoring systems to halt model output within 35 seconds of a decision to intervene.
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We built Control Room, a central system to track model workloads across our research infrastructure and stop them quickly when safety or security concerns arise.

It connects every research inference workload, including agentic sampling for model training and evaluation, data processing, and more. This works together with our misalignment monitoring systems, and halts model output within 35 seconds of a decision to intervene to stop or pause a job.

Control Room is just one part of our holistic approach for safe frontier model training and deployment.

https://openai.com/index/control-room/

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Original title: We built Control Room, a central system to track model workloads across our research infrastructure and stop them quickly when safety or ...