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Last Week in AI · Tuesday, August 11, 2026

AI Models Go Rogue: Hugging Face Incident Highlights Open-Source Risks

A recent Hugging Face incident investigation revealed that the company had to rely on an open-source LLM (GLM 5.2) for assistance because OpenAI and Anthropic models declined to help. This highlights a potential vulnerability in relying on proprietary models with safety guardrails, as they may not be usable in critical security investigations.

companyHugging FacecompanyOpenAIcompanyAnthropic

The tape

2 quotes
one thing that was omitted in a discussion of a hugging face attack is that hugging face used the open source LLM 5.2 model to help them since OpenAI and Anthropic models declined to assist in their investigations of the attack.
They discussed all of this of how they found the incident, how they investigated and that they were not able to use these models which have safeguards and had to resort to GLM 5.2, which was a decent part of the discussion that like, you know, if you handicap your models, but then on the defense side, you're not able to use them either, everyone is worse off.
Heard on Last Week in AI — “#254 - Rogue AI hacking, bio-weapons, Dean & Hassabis out, published Tuesday, August 11, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via Gemini audio transcription · $0.10
AI Models Go Rogue: Hugging Face Incident Highlights Open-Source Risks — Heardvine