US AI leaders turn to Chinese open-weight models, challenging closed-source safety claims
Prominent figures in American AI are increasingly favoring Chinese open-weight models over closed-source alternatives for safety and security. AI pioneer Andrew Ng stated at the Agentic AI Summit in Berkeley that open-weight models appear safer than closed-weight ones.

Briefing Summary
AI-generatedProminent figures in American AI are increasingly favoring Chinese open-weight models over closed-source alternatives for safety and security. AI pioneer Andrew Ng stated at the Agentic AI Summit in Berkeley that open-weight models appear safer than closed-weight ones. Ng and a colleague utilized Chinese models, specifically Moonshot AI's Kimi K3 and Zhipu AI's GLM-5.2, for a security review of their new open-source AI agent tool, OpenWorker. This decision was made after leading models from OpenAI and Anthropic declined to assist with the task. This trend challenges the established view from US closed-source AI developers, such as Anthropic, who have argued that open-source models pose societal risks.
Article analysis
Model · rule-basedKey claims
4 extractedMoonshot AI’s Kimi K3 and Zhipu AI’s GLM-5.2 were used for a security review after OpenAI and Anthropic models refused.
Open-weight models seem safer than closed-weight models.
American AI leaders are finding Chinese open-weight models better for AI safety and security than closed-source models.
Open-source models present a threat to society.