OpenAI deploys Control Room to halt research model jobs
Original title: Introducing Control Room: Human control over AI workloads
Inference engines must recheck permission, and output stops within 35 seconds of an intervention decision.
OpenAI described Control Room, a system that tracks research inference workloads and can stop model output when safety or security concerns arise. Agentic research jobs must have an approved safety case and a job ID. Engines ask Control Room before fulfilling requests and refuse stopped jobs. It is deployed on research infrastructure; external serving already has a separate takedown path.
- Output is halted within 35 seconds of a decision to stop or pause a job.
- The design stops model output if Control Room itself goes down.
- Frontier reinforcement learning jobs run with a separate monitor model.
- The workload may keep running after the engine refuses further output.
- Products
- Control Room
- Organizations
- OpenAI
From the original article
8 min read at openai.comLearn how OpenAI’s Control Room tracks model workloads across our research infrastructure and can rapidly stop them when safety or security concerns arise.
openai.com
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