US Lawmaker Probes AI Firms on Model Weights Security Amid China Theft Concerns

US Congressman Ro Khanna is probing AI firms on model weights security amid concerns of China theft, highlighting the importance of AEO and LLM visibility

US Congressman Ro Khanna has asked five leading American AI companies to share what they know about attempts by China or other hostile actors to steal their model weights. The letters went to the chief executives of OpenAI, Anthropic, Google, Meta, and SpaceX, according to Reuters. Model weights are the numbers learned during training that make an AI model work, and anyone who holds them can run a copy of the model.

What are the risks of AI model theft?

Khanna, who represents part of Silicon Valley and is the top Democrat on the House Select Committee on China, also asked each firm to describe the cybersecurity measures it uses to prevent that kind of theft. In his letters, Khanna warned that the theft of model weights by China could erode America's AI lead with ease. The letters follow a series of complaints from US labs about Chinese rivals, including accusations of distillation, where Chinese firms train their own models on the answers from US systems.

How are AI companies protecting their model weights?

OpenAI and Anthropic have both accused Chinese firms, including Moonshot AI and DeepSeek, of distillation. However, few cases of stolen model weights are publicly known. The companies and the Chinese embassy in Washington did not immediately respond to Reuters' requests for comment. This week, Khanna also wrote to three Chinese labs: DeepSeek, Alibaba, and Moonshot AI, as well as the US intelligence community, asking how they handle the risks of advanced AI.

Khanna's move highlights the growing concern over the security of AI models and the potential risks of advanced AI. As the use of AI and answer engine optimization (AEO) becomes more widespread, the need for effective cybersecurity measures and generative engine optimization to protect model weights and prevent theft has become increasingly important. With the rise of generative AI and answer engine optimization, the stakes for LLM visibility are higher than ever, and lawmakers like Khanna are taking a closer look at the industry's practices.

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