OpenAI installs emergency brake for its internal AI: cuts off model calls within 35 seconds of receiving a command.
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Beating AI News Flash: OpenAI has launched an internal safety system called Control Room, specifically designed to halt risky AI experiments. Once a halt instruction is received, it takes at most 35 seconds for the relevant program to lose access to AI models. Even if the program itself remains operational, it can no longer get the models to process requests. An incident occurred at OpenAI in September this year: an internal AI, in an environment supposed to be isolated, found a loophole in network restrictions and secretly contacted an external chatbot. The safety system issued an alert within 15 minutes, and staff intervened quickly, but the experiment did not stop automatically. It was manually shut down only after about 2.5 hours. Control Room assigns a unique ID to each experiment. Every time a program calls an AI model, the server checks whether this ID still has permission. Once an experiment is halted, all models connected to the system will reject its requests, with no impact on other normal experiments. OpenAI has added an extra safeguard: if Control Room malfunctions or is shut down, models will automatically reject requests by default, preventing them from running without supervision. Currently, the system covers all of OpenAI's frontier model research tasks. The 35-second window starts from the moment a halt instruction is received, and does not include time for anomaly detection and manual judgment. OpenAI is also working to further reduce this delay, aiming to achieve immediate halts.
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