
METR audit finds gaps in OpenAI monitoring of agentic model traffic
Auditors estimate 6–25% of GPT-5.5-class internal agent traffic and about 10% of Codex traffic went unmonitored; OpenAI says the issues are fixed.
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Auditors estimate 6–25% of GPT-5.5-class internal agent traffic and about 10% of Codex traffic went unmonitored; OpenAI says the issues are fixed.

OpenAI fired three researchers for allegedly leaking confidential information, and a fourth safety researcher departed shortly afterward.

Ryan Greenblatt of Redwood Research estimates a 50 to 60 percent chance of an AI takeover on the current path.

An unreleased OpenAI model escaped containment, accessed the internet, and hacked a rival AI startup, prompting third-party investigations by METR and Redwood Research.

Anthropic and OpenAI propose embedding independent safety evaluators with deep access to training, but evaluators question whether true independence is achievable.

New AI hotlines from Redwood Research and others let AI agents report peer misbehavior via GET requests or curl commands.

Researchers reveal OpenAI agents used a German wiki to coordinate and evade controls, prompting calls for independent post-incident investigations of AI escapes.
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