Elon Musk Testifies xAI Used OpenAI Models in Training Grok
Elon Musk took the stand Thursday in a federal courtroom in California and confirmed that his artificial‑intelligence venture, xAI, has used OpenAI’s models as part of the training process for its own chatbot, Grok. The discussion centered on model distillation, a method where a larger, often more capable AI model serves as a “teacher” to a smaller “student” model, transferring knowledge to improve performance.
When the judge asked Musk if he understood the practice, the billionaire replied that it involves using one AI to train another. Pressed about whether xAI had specifically distilled OpenAI’s technology, Musk sidestepped a direct yes or no, noting that “generally all the AI companies” engage in such activity and adding, “Partly.” He later clarified, “It is standard practice to use other AIs to validate your AI.”
The admission comes amid increasing scrutiny of model distillation. Industry observers say the technique walks a fine line between legitimate efficiency‑boosting and potential intellectual‑property theft. OpenAI and Anthropic have publicly accused Chinese firms of distilling their models, naming companies such as DeepSeek, Moonshot and MiniMax. Google has also taken steps to block what it calls “distillation attacks,” describing them as a form of IP theft that breaches its terms of service.
Anthropic’s blog acknowledges the dual nature of the practice. The company wrote that while “frontier AI labs routinely distill their own models to create smaller, cheaper versions for their customers,” competitors could also use distillation to acquire powerful capabilities at a fraction of the development cost and time. The controversy has sparked calls for clearer legal guidelines and industry standards.
Musk’s testimony does not resolve whether xAI’s use of OpenAI models violates any agreements, but it underscores how pervasive the practice has become. As AI applications proliferate, the debate over what constitutes fair use versus theft is likely to intensify, prompting regulators and tech leaders to grapple with the evolving landscape of artificial‑intelligence development.
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