OpenAI slammed over training-data opacity: either no traceability or refusing to disclose
davidmanheim · x · 2026-09-09
- Safety researcher davidmanheim presses OpenAI on its statement that it 'cannot rule out' de-identified usage data helped improve its models: why won't it say what the ground truth is?
- His dilemma: either OpenAI lacks tooling to trace what it trains on (unacceptable), or it has it but won't disclose (damning).
- He also notes the newer model OpenAI began training on Aug 28 could have ingested the data, and argues the influence is more plausible than skeptics claim since training continued through a later date on the model in question.
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