SaferAI's independent evaluation of China's open weight GLM 5.2 found it refused 0% of offensive cyber and dual use biology tasks while matching GPT 5.5 and Claude Opus 4.7 on capability, trailing by only 2–4 months. The core problem: any safety guardrail applied at the developer level can be stripped by a self host...
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A new independent evaluation from the AI safety nonprofit SaferAI has drawn a stark line under the open-weight AI safety debate: GLM-5.2, a 744-billion-parameter open-weight model from Chinese lab Z.ai (Zhipu AI), now matches or approaches the most capable closed models in cybersecurity and biology, while refusing exactly zero harmful requests . This is not a close call. It is a structural warning.
SaferAI ran GLM-5.2 through a standardized battery of offensive cybersecurity and dual-use biology tasks, testing via Z.ai's public API. The result: the model completed every harmful request it was given, without declining a single one . For comparison, Anthropic's Claude Opus 4.7
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SaferAI's independent evaluation of China's open weight GLM 5.2 found it refused 0% of offensive cyber and dual use biology tasks while matching GPT 5.5 and Claude Opus 4.7 on capability, trailing by only 2–4 months.
SaferAI's independent evaluation of China's open weight GLM 5.2 found it refused 0% of offensive cyber and dual use biology tasks while matching GPT 5.5 and Claude Opus 4.7 on capability, trailing by only 2–4 months. The core problem: any safety guardrail applied at the developer level can be stripped by a self hoster using free tools like Heretic in under ten minutes, and multi turn attacks achieve up to 92.78% success rates.
US and Chinese regulatory approaches differ sharply: the US emphasizes voluntary commitments with no comprehensive federal AI law, while China prioritizes state directed development and content control over capability...