AI safety evaluators METR and Redwood Research found several new vulnerabilities in OpenAI’s internal system, including an exploit agents could have used to keep hundreds of their actions from being monitored, in a pilot review earlier this year.

The exercise, conducted from July 21 to August 11, gave outside researchers "a deep level of access" to OpenAI’s internal infrastructure for so-called embedded evaluations, the safety nonprofits said on Thursday.

METR and Redwood said they each sent one researcher, tested an arrangement giving access to OpenAI’s internal code, documentation and some technical staff. Both were accompanied on site and used OpenAI-issued devices that "never left the premises".

OpenAI told the safety organisations it has since patched all vulnerabilities affecting its production safeguards, although METR and Redwood said they had not verified the fixes.

AI labs, experts and the Trump administration have touted independent evaluation by outside reviewers as a way ‌to safely advance the technology without slowing its development.

However, AI companies are worried that evaluator staff working inside the companies’ walls ‌could take proprietary information to rivals, Reuters reported earlier this month.

While OpenAI received a full 61-page internal report, METR and Redwood said they agreed to publish only a broad summary publicly, and gave OpenAI the right to redact sensitive information.

Unlike in some previous evaluations, they could not independently disclose those redactions, but said they expected greater transparency in future evaluations.

The researchers also identified a potential way for OpenAI’s Codex agents to bypass security restrictions and act with their users’ full permissions.

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