The courtroom drama between Musk and Altman finally hit closing arguments this week. The whole thing kept coming back to the same uncomfortable question: can we actually trust the people building the most powerful AI systems?
This isn't just legal theater. The trial has put OpenAI's governance decisions under a microscope at exactly the moment when questions about AI safety and corporate structure actually matter.
Meanwhile, the Musk founder factory keeps running at full speed. SpaceX is positioning itself for what could be one of the largest IPOs in American history, and there's already a new generation of founders spinning out from the company.
For anyone working with AI tools, the trust question isn't abstract. The companies building the models you rely on are making decisions about safety, access, and direction with massive implications for how useful (or risky) these tools become.
The timing is notable. As one Musk company heads toward a massive public offering, another is in court defending its transformation from nonprofit to capped-profit entity. It's a reminder that the business models behind AI are still being figured out in real time.
The trial's conclusion doesn't resolve the bigger questions about AI governance. If anything, it's highlighted how much we're still winging it when it comes to oversight of the most consequential technology of the decade.
