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OpenAI's Control Room Halts Research Workloads in 35 Seconds

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OpenAI@OpenAI

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://t.co/tc0lBqFdS5

Why it matters

OpenAI describes a central control plane over every research workload, including agentic sampling, that halts output within 35 seconds of a stop decision. It is a reference point for kill-switch design in infrastructure.

Terms in this piece · Glossary
  • inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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