Doctors gave up. AI didn’t.

Today, AI is solving medical mysteries, and the biggest data center in the world may have found a welcoming home. Let’s take a look! 👊

⭐️ Today’s Feature

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

What’s cookin’? Researchers at Boston Children’s Hospital used OpenAI’s o3 model to help diagnose 18 children whose rare diseases had gone unsolved, some for years. The team looked at 376 difficult cases where traditional genome analysis had not found clear answers. They gave the AI clinical notes, symptoms, and lists of possible genes tied to each child’s condition. The model then searched for links between the patients’ symptoms and genetic research that may have been missed or published after the original analysis. Human doctors reviewed the AI’s findings before confirming any diagnosis.

🤔 Hunter’s take: This is the kind of AI use case that actually feels hard to argue with. It is not replacing doctors or pretending to be magic. It is helping experts sort through an overwhelming amount of medical information faster. For families stuck in diagnostic limbo, even one answer can change everything.

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What’s cookin’? Pike County, Ohio is welcoming a plan to build what officials say will be the world’s largest AI data center on the site of the old Portsmouth Gaseous Diffusion Plant. That site once enriched uranium during the Cold War, so it already has the kind of heavy-duty infrastructure AI needs: lots of land, access to water, and a power grid built for massive energy use. The project is expected to include the AI data center, a $33 billion natural gas power plant, and small modular nuclear reactors. Locals are supporting it because the area has struggled economically, and the project promises construction jobs, long-term investment, and a new use for contaminated land that is already non-ideal for homes.

🤔 Hunter’s take: Despite massive pushback across the country, this shows one possible path forward for AI infrastructure: build on land already shaped by heavy industry. Instead of dropping data centers into communities that don’t want them, this turns a contaminated, complicated site into something useful. That doesn’t erase the environmental concerns, but it makes the tradeoff a lot more honest.

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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.