OpenAI says, while unlikely, it "cannot rule out that de-identified data derived" from Buckmaster's and Alpöge's use of its products helped improve its models
THE SO WHAT
OpenAI publicly acknowledging it “cannot rule out” training influence from specific users—even via de-identified data—moves data provenance from PR issue to formal risk surface. If you’re shipping sensitive research or IP through third-party models, treat usage logs and derivative training as part of your threat model, not an afterthought.
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