Checked fact 328831 Oct 2026Safety and security

OpenAI says layer 0 of the system uses lightweight classifiers called activation probes, tuned for high recall, and that it sends the next layer a random 5 percent of the traffic the probes do not flag.

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we also send the next layer a random 5 percent of the traffic that our probes don’t flag.

What the source said when we opened it, on 31 Oct 2026.

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How we detect frontier model misalignment
OpenAI · 2026-10-29

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Checked by the notis newsroom on 31 Oct 2026, against the source above.

In the story

In a simulation, OpenAI says its monitors would have alerted about 30 minutes after the Hugging Face sandbox escape. 31 Oct 2026

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“OpenAI says layer 0 of the system uses lightweight classifiers called activation probes, tuned for high recall, and that it sends the next layer a random 5 percent of the traffic the probes do not flag.” ai notis, checked 31 Oct 2026. Source: How we detect frontier model misalignment (OpenAI). https://ainotis.com/c/3288

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ai notis. (2026, October 31). OpenAI says layer 0 of the system uses lightweight classifiers called activation probes, tuned for high recall, and that it sends the next layer a random 5 percent of the traffic the probes do not flag [Checked claim 3288]. ai notis. https://ainotis.com/c/3288

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