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Hey there. We’ve officially entered a world where AI watches you from space and decides if you get critical care. 😳

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

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🖇️ Wobo

Tinder but for finding jobs.

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Scan chess matches and see better moves.

What’s cookin’? For the first time, an Earth observation satellite has reportedly used AI to find specific things on Earth without waiting for people on the ground to review the images. The test happened on Loft Orbital’s Yam-9 satellite using software from NASA’s Jet Propulsion Laboratory and Google DeepMind’s Gemma 3 AI model. Normally, satellites collect huge amounts of images and send them back to Earth, where humans or computer systems sort through the data. In this case, the AI ran directly on the satellite. Researchers could ask it simple questions, such as where human development meets the natural environment or where infrastructure appears near rail hubs, and the satellite could identify those areas on its own.

🤔 Hunter’s take: Satellites are shifting from passive cameras into active watchers. That could help with disasters, climate monitoring, and science, but it also raises serious questions about surveillance and who gets to decide what looks “suspicious” and what gets monitored.

In the next edition of Inside the Kitchen, I will explore the hidden dangers of this →

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What’s cookin’? A 32-year-old Brazilian woman, Rebeca Cardoso Tenente Molina, died after her family says an AI hospital-management system delayed her transfer to an intensive care unit. Molina was hospitalized for gallstones, but her condition worsened quickly. Her family says the system gave her a lower severity score than doctors believed she needed, which kept her from moving up the ICU waiting list. Even after the family pursued emergency legal action, the transfer was delayed for five days. The state health department said transfers still depend on bed availability and clinical needs, but the family argues the system made doctors less able to override bad data.

🤔 Hunter’s take: The danger here is not just “AI made a mistake.” It is that the mistake cannot be easily overridden. In a hospital, a bad score is not just a number on a screen. It can decide who gets seen first, who gets transferred, and who keeps waiting. That is why medical AI needs a clear human override, especially when the doctor at the bedside knows the patient is getting worse.

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💬 Need better prompts?

You may have realized by now that AI is only as good as your prompt.

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✍️ Meet the Author:

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.

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