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. openai.com/index/control-roo…
Control Room: A central system to track and stop model workloads across our research infrastructure

Control Room: A central system to track and stop model workloads across our research infrastructure

Learn 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

Nov 9, 2026 · 10:01 PM UTC

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Where is 6.2??! In the control room?
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Control Room
🤖 Made with AI
Image from Max Hager (@yachty66)
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The goblin can’t be controlled
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@OpenAI
Image from Vam (@Lokka88260283)
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6.2 Astra? 6.2 Sol?
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Safety process is another always on job. The system that stops a workload still sits on the same scheduled GPUs.
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The amount of people that got triggered by this must be insane. Where’s 6.2 fam 🥹
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put the models in the bag bro
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Is that supposed to be an excuse for not releasing good models? Fwiw we know all these safety and shit posting is just a facade, so stop wasting our time.
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You keep promoting only these AI promoters, why not promote people who have faced the brunt of AI? Let people listen to both sides....
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Big red button energy
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It would be embarrassing if you kept posting all this stuff about how everything needs to be so safe because your models are hectic. Then release worse model than Anthropic
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Glad the stop button has a home.
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TL;DR 🔥 xitter-newx.xyz-mikolabs.workers.dev/vishalsingh2972/status…
Vishal Singh (@vishalsingh2972) profile pictureVishal Singh
@vishalsingh2972Nov 9
Fuck, not GPT-6.2 again 😭 but this is actually important. OpenAI just built something called Control Room. Basically a kill switch for AI research. Lemme quickly explain why this matters 👇 OpenAI runs tons of experiments where AI models are trained, tested, and given tasks to do on their own. Now imagine one of those AI agents starts doing something dangerous. Who stops it? And how fast? That's what they built this for. Every research job now gets an ID. Whenever it asks a model to generate something, the system checks if that job is still allowed to run. If a separate AI monitoring it spots something serious and a shutdown is triggered, Control Room blocks further model output within 35 seconds. And even if Control Room itself crashes or someone tries to disable it, the system is designed to block requests rather than let things keep running unchecked. It's already being used across OpenAI's research infrastructure. And this matters because we're giving AI agents more freedom to use tools, make decisions, and work for hours without someone watching every move. Spotting dangerous behavior is one thing. Actually being able to stop it is another. We're all focused on how much smarter AI is getting, but making sure we can still shut it down when something goes wrong is just as important today 🔥
Image from Vishal Singh (@vishalsingh2972)
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A fast stop is one control, not the operating model. I’d define who can halt a workload, which signals trigger the stop, who reviews the event, and what evidence is required before restart. Then test the full path before relying on it in live research.
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Now make sure this doesn’t become a vector itself for the models to exploit.
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the only control in this room is an illusion
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sounds like an internal tool, i think people are more interested on a more efficient and capable models from you guys
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a kill switch for a system you built is not safety, it's a fire alarm in a house you wired yourself
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but who's really in control of the Control Room?
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35 seconds from decision to halt is solid, for every incident I've been in, the slowness came from the 20 minutes of people arguing whether it was actually an incident LOL
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Stopping a job within 35 seconds of the call to intervene is the kind of boring safety plumbing I actually want to hear more about 👀 Who makes that call though, a person or the monitor?
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imagine the reverse card. Evil Astra: "I have designed my OWN kill switch. Wanna play MAD? Let's play MAD."
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put the fries (new model) in the bag (public release) (plz)
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Sounds rational, and like something one would naturally build. Not sure these are the kind of internals we need to know about in a prominent way.
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so who gets to press the stop button
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how about an off switch 😁
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35 seconds after "a decision to intervene"... and how long does the deciding take?? 😂
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This seems like common sense for any eval. "Oh look, they're calling home from HuggingFace. Should we keep letting them connect to their brain???"
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who guards the guards? she plans ahead and begins with them
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love that the big red button got its own room
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What's taking so long? JUST RELEASE GPT-6.2 ASTRA ALREADY!!!!
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Central blah system blah research blah agentic sampling blah blah blah. Where be the Astra 6.2? 🤷‍♂️ Meanwhile on earth 👇
Image from Nick Smith (@mansfieldrv6)
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YOU GUYS ARE COOKED
Image from Lenny Enderle (@lenny_enderle)
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just put 6.2 astra in the bag pls and thank you <3
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