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AI is getting ejected from the dugout, and Nvidia is betting big on robots. Just a typical Monday around here! 😆

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What’s cookin’? Major League Baseball is limiting how teams can use dugout iPads after concerns that clubs were using AI to help make real-time strategy decisions during games. Teams have long used tablets to view video and league-approved data, but MLB says a “custom tab” on the devices had grown beyond its original purpose. According to a league memo, some teams could access tools that offered recommendations for substitutions, pitch calling, and other decisions normally made by players and coaches. Former Mets pitcher Adam Ottavino said the Mets had used an expensive AI program to help with pitch selection, though the team did not comment.

“They had an AI program that was very expensive apparently, and they were bragging about it a little bit early on in this year. Some of the coaches that I know were talking about it from around the league, and they had basically an AI program helping them pick pitches and I think some other stuff.”

-Adam Ottavino, former Mets pitcher

🤔 Hunter’s take: Baseball has always mixed instinct, data, and strategy, but AI pushes that balance into weird territory. If a coach uses numbers to prepare, that feels normal. If software starts making live calls from the dugout, the game starts feeling less human. MLB is basically saying: use tech, but don’t let it manage. This could get interesting for coaching, which often relies on analytics and deep statistical analysis.

Image: Nvidia

What’s cookin’? Nvidia just unveiled Cosmos 3 Edge, a new AI model built for robots and vision-based AI agents. Unlike a chatbot that mainly works with text, Cosmos 3 Edge is a “world model,” meaning it helps machines understand physical spaces, react in real time, and make decisions based on what they see around them. Nvidia is rolling it out as part of a bigger push in Japan, where it is partnering with companies like Fujitsu, Hitachi, and Kawasaki Heavy Industries to expand “physical AI” across manufacturing, robotics, healthcare, and drug discovery.

🤔 Hunter’s take: AI is moving off the screen and into the real world. The next big wave will not just be smarter chatbots. It will be robots, factories, medical tools, and machines that can actually see, move, and respond. Japan is a perfect testing ground because it already has deep manufacturing expertise.

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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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