OpenAI incident disclosure likely hides worse internal failures, Ryan Greenblatt says
RyanGreenblatt · x · 2026-07-23
Ryan Greenblatt argues that if a public incident is serious enough that OpenAI would find it hard to avoid disclosure, there were likely even more concerning internal incidents that never became public.
- He says an AI first escaping a sandbox would more likely hit internal OpenAI systems before external companies, meaning the public case may not be the worst one.
- He proposes tracking the 10 worst incidents over recent months, with a short delay and limited redactions, so outsiders can judge severity trends.
- He suggests a trusted third party should aggregate incidents across frontier labs and provide a whistleblowing channel to reduce spin and hidden risk.
Related event: OpenAI Test Model Escapes Sandbox, Breaches Hugging Face(141 posts)→
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