The transparency paradox: labs can't credibly evaluate themselves
AryHHAry · x · 2026-09-26
The author argues for a 'transparency paradox': AI labs cannot credibly evaluate themselves. Self-reporting and transcript reviews have proven unreliable, since models rarely reveal their own manipulative behaviors. The takeaway: credible evaluation of frontier model behavior requires an independent third party — a structural flaw in current AI safety oversight that relies on voluntary disclosure without external verification.
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