OpenAI to Train Models on Daybreak Blue Cybersecurity Session Data Despite Prior Restrictions
Current overview (not historical)
OpenAI announced on November 29 that it will use Daybreak Blue cybersecurity session data to train its models, reversing a previous policy that excluded such data even when model improvement settings were disabled. The change affects Trusted Access program members, who were notified via email. Security researchers have expressed concern that this may repeat the issues of the "Buckmaster-Alpöge" case, though OpenAI has pledged to provide a separate opt-out option.
Written with AI from the reporting · updated 10/31/2026
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- 1Unclassified fact stationNov 29, 00:00recorded Nov 1, 01:19single sourcerevised
OpenAI将使用Daybreak Blue网络安全会话数据训练模型
Read original source ↗ The DecoderReplay this moment in the explorerEvidence & revisions · 1 source records
- Subject:
- openai
- Action:
- 将Daybreak Blue会话数据用于模型训练
- Object:
- Daybreak Blue会话数据
- Occurred (fact side):
- Nov 29, 00:00
- Published (valid side):
- Nov 1, 00:38
- First seen (known side):
- Nov 1, 01:19
Fact stationSingle source · one-sided claimRevisedCopy may have been revised later; time replay is bounded. Layer labels group reading only, not causation between layers.
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- The DecoderRelated fact: single sourceSource report revisedOpenAI to use Daybreak Blue cybersecurity data for model training starting November 29
Report first recorded Nov 1, 01:19
OpenAI will use Daybreak Blue cybersecurity session data to train its models starting November 29, reversing a previous policy that excluded this data even when users opted out of training. The change follows backlash from researchers, who worry it could repeat the controversy of the Buckmaster-Alpöge case, in which mathematicians suspected their inputs were used without consent. OpenAI has promised a separate opt-out for this data type.
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- 10Nov 1, 02:00
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