OpenAI accuses DeepSeek of distilling US models to train its AI, warns lawmakers of security risks

Reviewed byNidhi Govil

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OpenAI has alerted US lawmakers that Chinese AI startup DeepSeek is using sophisticated distillation techniques to extract results from leading US AI models. The company claims DeepSeek employees are circumventing access restrictions through obfuscated methods, raising concerns about business threats to American AI companies and national security risks.

OpenAI Warns Lawmakers About Sophisticated Distillation Tactics

OpenAI has issued a stark warning to US lawmakers that Chinese artificial intelligence startup DeepSeek is employing increasingly sophisticated methods to extract capabilities from leading American AI models. In a memo sent Thursday to the House Select Committee on Strategic Competition between the US and the Chinese Communist Party, OpenAI accused DeepSeek of "ongoing efforts to free-ride on the capabilities developed by OpenAI and other US frontier labs."

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The company said it had detected "new, obfuscated methods" designed to evade defenses against misuse of its models' output.

Source: Digit

Source: Digit

How AI Model Distillation Works and Why It Matters

At the center of the dispute is a technique called AI model distillation, where one AI model relies on the output of another for training purposes to develop similar capabilities. The memo to lawmakers detailed how accounts associated with DeepSeek employees sought to circumvent access restrictions by accessing models through third-party routers to mask their source.

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OpenAI also noted that DeepSeek employees developed code to access US AI models and obtain outputs in "programmatic ways," effectively copying AI models for training their own systems.

Business Threats and Eroding US Advantage in Artificial Intelligence

Since DeepSeek and many other Chinese models don't carry a monthly subscription cost, the prevalence of distilling US models could pose a significant business threat to American companies such as OpenAI and Anthropic that have invested billions of dollars in AI infrastructure and charge fees for premium services.

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This imbalance risks eroding the US advantage in artificial intelligence, particularly as China's advancements in AI continue despite export controls on advanced chips. Representative John Moolenaar, the Republican chair of the House China committee, stated "this is part of the CCP's playbook: steal, copy, and kill," warning that Chinese companies will continue to distill and exploit American AI models to their advantage.

Source: Bloomberg

Source: Bloomberg

National Security Risks and Safeguard Concerns

OpenAI highlighted multiple national security risks raised by DeepSeek's gains, including that its ChatGPT rival had censored results about topics considered controversial by the Chinese government such as Taiwan and Tiananmen Square. When capabilities are copied through distillation, OpenAI said, safeguards often fall to the wayside, enabling more widespread misuse of AI models in high-risk areas like biology or chemistry.

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The company stated in the memo that Chinese large language models are "actively cutting corners when it comes to safely training and deploying new models."

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What This Means for Fair Competition in the AI Race

OpenAI began privately raising concerns about the practice shortly after the R1 model's release last year, when it opened a probe with partner Microsoft into whether DeepSeek had obtained its training data in an unauthorized manner.

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The company's memo to lawmakers suggests that its efforts to block distillation have failed to eliminate the problem, pointing to networks of "unauthorized resellers of OpenAI's services" designed to evade the company's controls and violate terms of service. White House AI Czar David Sacks has previously warned about these tactics, citing "substantial evidence" that DeepSeek distilled knowledge from OpenAI's models. As Washington remains concerned about whether access to advanced AI chips may accelerate DeepSeek's progress, the debate over intellectual property protection and fair competition in the AI race intensifies, with implications for how frontier labs protect their AI capabilities while maintaining American leadership in artificial intelligence.

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