OPENAI · 2026-11-09 21:44 UTC

Introducing Control Room: Human control over AI workloads

Control Room is a central system that tracks model workloads across research infrastructure and can stop them quickly when safety or security concerns arise. It connects every research inference workload, including agentic sampling for training and evaluation, and works with misalignment monitoring systems to halt model output within 35 seconds of a decision to stop or pause a job. It is designed to keep working when other systems fail and to stop model output if Control Room itself goes down; it is already deployed across research infrastructure.

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