Musk v. Altman week 2: OpenAI fires back, and Shivon Zilis reveals that Musk tried to poach Sam Altman

The Zilis testimony reframes Musk's lawsuit in a significant way: if Musk attempted to recruit Altman while simultaneously claiming OpenAI defrauded him, the legal strategy starts to look less like a principled governance challenge and more like a competitive acquisition play that failed. That distinction matters for how courts weigh his standing as a plaintiff.

This trial is the direct continuation of the story Modelwire covered in early May, when Musk admitted in court that xAI relies on OpenAI model outputs for its own training, undercutting his narrative of independent capability development. That disclosure, from The Decoder's coverage around May 2, already suggested the lawsuit was as much about competitive positioning as principle. The Zilis testimony deepens that read: Musk's attempt to poach Altman implies he valued OpenAI's leadership as a strategic asset, not just a source of grievance. Together, these two data points suggest the trial is producing a portrait of Musk as a frustrated competitor rather than a wronged founder, which could shape judicial sympathy and, downstream, how other courts interpret founder agreements in nonprofit-to-profit conversions.

Watch whether OpenAI's legal team formally introduces the xAI training dependency disclosure as evidence of competitive motive in the next hearing. If they do, it signals a deliberate strategy to recast Musk's standing, and that framing could determine whether the case survives summary judgment.