Musk loses to OpenAI

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This link leads to one of the most interesting things I’ve seen in AI recently.

What happened? A federal jury ruled against Elon Musk in his lawsuit against OpenAI, deciding that he waited too long to bring the case and that neither OpenAI nor CEO Sam Altman could be held legally responsible.

Want the details? Musk argued that OpenAI broke its original mission by moving away from its nonprofit roots and creating a for-profit arm in 2019. He said the company was supposed to build AI for the benefit of humanity, not for commercial gain. Musk, who helped found OpenAI in 2015, left in 2018 after disagreements over its direction. In the lawsuit, he asked for major leadership changes and more than $150 billion in damages. OpenAI responded that it never promised to remain a nonprofit forever and said Musk himself had once supported ideas like restructuring the company.

Why should you care? Beyond just being a major case, this matters because it highlights a big question in AI: should powerful AI companies focus mainly on public good or be allowed to chase growth and profit?

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What’s up? Earth AI, a startup using AI to search for critical minerals in Australia, is building its own labs so it can analyze drilling samples in about five days instead of waiting up to five months.

How does it work? Earth AI uses AI models to predict where minerals like copper, platinum, and palladium might be underground, including in places most companies would not normally explore. But AI can only guide the search. To confirm what is actually in the ground, the company still has to drill, pull up rock samples, and send them to a lab for testing. That is where things have slowed down. Outside labs are dealing with major backlogs, which means Earth AI has thousands of meters of samples still waiting for results. By building its own labs, the company hopes to get data much faster and make better decisions about where to drill next.

Why does this matter? Faster lab results could make mineral exploration cheaper, quicker, and more precise. That matters because critical minerals are essential for technologies like batteries, electronics, and clean energy systems.

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Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.