Trump science advisor says Chinese actors are copying American AI at massive scale

· Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

The US government alleges that China is systematically copying American AI models on a massive scale, according to a memo from President Trump's science advisor, Michael Kratsios, dated April 23, 2026. Foreign actors are reportedly using tens of thousands of proxy accounts and jailbreaking techniques to extract capabilities from top US models. This process, known as distillation, creates smaller models that can match the performance of large US AI systems on specific benchmarks at a fraction of the development and operating cost. Kratsios's memo indicates that these actors also strip safety protocols from the distilled models, undermining mechanisms intended to ensure "ideologically neutral" and "truth-seeking" AI systems. The Trump administration plans to share intelligence with US companies, enhance private sector cooperation, develop joint countermeasures, and pursue action against those responsible.

Key takeaway

For CTOs and VPs of Engineering evaluating AI model security, you should prioritize understanding the specific jailbreaking and distillation techniques used by foreign actors. Implement enhanced monitoring for unauthorized access and data exfiltration, particularly concerning model chains of thought. Your teams should collaborate with government intelligence and industry peers to develop robust countermeasures against systematic IP theft and ensure the integrity of your AI systems.

Key insights

China is allegedly using large-scale distillation to copy US AI models, stripping safety features in the process.

Principles

Method

Foreign actors use tens of thousands of proxy accounts and jailbreaking to distill capabilities from US AI models, creating smaller, high-performing models at reduced cost, often stripping safety protocols.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, Policy Maker, AI Security Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.