Checked fact 453011 Nov 2026Safety and security

OpenAI says the 35-second lag comes from a caching layer for inference authorization, and that it is working to drive the number down to zero.

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The exact words it rests on

The 35-second lag comes from a caching layer for inference authorization, to support the required volume of traffic. We are working to drive this number down to zero so that we can end jobs instantly.

What the source said when we opened it, on 11 Nov 2026.

The source

Control Room: A central system to track and stop model workloads across our research infrastructure
OpenAI · 2026-11-09

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Checked

Checked by the notis newsroom on 11 Nov 2026, against the source above.

In the story

OpenAI says its Control Room can stop a research job's model output within 35 seconds 11 Nov 2026

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“OpenAI says the 35-second lag comes from a caching layer for inference authorization, and that it is working to drive the number down to zero.” ai notis, checked 11 Nov 2026. Source: Control Room: A central system to track and stop model workloads across our research infrastructure (OpenAI). https://ainotis.com/c/4530

As a reference (APA style)

ai notis. (2026, November 11). OpenAI says the 35-second lag comes from a caching layer for inference authorization, and that it is working to drive the number down to zero [Checked claim 4530]. ai notis. https://ainotis.com/c/4530

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