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Mar 14, 2025Friday

OpenAI NewsMar 14, 17:00

The court rejects Elon Musk’s latest attempt to slow OpenAI down

OpenAI says a court on March 4, 2025 rejected Elon Musk’s request for a preliminary injunction, finding he had not shown a likelihood of success on the merits. The post also says the court dismissed several claims and that OpenAI does not plan a nonprofit “conversion,” but the post does not disclose the case number, how many claims were dismissed, or the litigation timeline.

Why it matters: HKR-H/K/R all pass: the Musk-OpenAI legal fight is clickable, the post adds a dated court result, and the ruling matters for OpenAI governance and xAI rivalry. It stays below P1 because this is a self-authored company post and the docket/order details are not disclosed here.

Take

OpenAI’s win here is procedural leverage, not moral vindication. The court rejected Musk’s preliminary injunction on March 4, 2025, saying he had not shown a likelihood of success on the merits. That matters because an injunction was the tool that could have frozen OpenAI’s restructuring while xAI kept building.

The careful phrase is “no nonprofit conversion.” OpenAI also says the nonprofit will hold a significant stake in the proposed public-benefit corporation. That preserves the nonprofit label, but it does not answer the control question practitioners actually care about: who governs the commercial engine when model training, enterprise revenue, and capital needs collide. The post also omits the case number, claim count, and litigation calendar. So yes, Musk lost this round; OpenAI is still writing from its own legal podium.

Dec 13, 2024Friday

OpenAI NewsDec 13, 08:00

Elon Musk wanted an OpenAI for-profit

OpenAI said on December 13, 2024 that Elon Musk pushed in 2017 to convert OpenAI into a for-profit and sought majority equity, absolute control, and the CEO role. The post includes a timeline and email excerpts, saying Musk formed “Open Artificial Intelligence Technologies, Inc.” on September 15, 2017, and that OpenAI rejected those terms. The real signal is the capital logic: the post says the team concluded in 2017 that AGI would need billions in compute, with Ilya Sutskever referencing hardware spend below $10B.

Why it matters: HKR-H/K/R all pass: the headline has a real reversal, and the post adds specific 2017 control demands plus concrete compute-cost claims. It stays at 80 because this is a one-sided OpenAI legal narrative, not an independently verified product or research release.