OpenAI Details Internal Codex Ultrafast Mode for Incident Investigation
OpenAI shared internal use cases of Codex's Ultrafast mode, noting engineers use it for incident response, security data aggregation, and code refactoring with reduced latency.
OpenAI published an internal case study describing how its technical staff uses Ultrafast, a high-speed mode in Codex, for incident response and engineering tasks. Staff members reported that investigations into security issues, which previously took one to two hours to gather and normalize data, are completed in 10 to 15 minutes or near real time, helping engineers investigate potential causes across multiple sources without splitting attention.
Key takeaways
- OpenAI staff stated security investigations that once took one to two hours now take 10 to 15 minutes or near real time with Codex Ultrafast mode.
- Engineers report using the mode to query logs, check Slack discussions, perform code refactoring, and automate routine browser workflows.
Source：OpenAI News Read the original ↗
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