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Dan Jeavons

“He'd figured out how to make those three things talk to each other, and then put an anti-hallucination reasoning layer on top — effectively an agentic system that cross-validates itself between the different disciplines.”

When Physics Meets AI: A Conversation with Dan Jeavons

“You're going to have one foundation model, which can solve all of those things because it's going to understand the physics, the language, and the time series, and it's going to be able to predict.”

When Physics Meets AI: A Conversation with Dan Jeavons

“The view that because you're air-gapped means you're safe — for me, it's just a complete fallacy. Most infrastructure is virtualized anyway, so it's exposed to all the same threats the internet is now. You're then saying your site's IT technicians are more equipped to manage those threats than Microsoft or Amazon. I just cannot believe that's true.”

When Physics Meets AI: A Conversation with Dan Jeavons

“The final one, which is the real kicker, is someone's going to do it. So someone is going to figure this out. And when they do, they're going to be fifty percent more efficient. And if you're not on that train when that happens, it's going to be hard.”

When Physics Meets AI: A Conversation with Dan Jeavons

“A digital twin does three things. It's able to digitally represent the physical reality, both in three dimensionality and in data. It's able to be interrogated in real time by a human to understand any given question. And it's able to run advanced simulations that explain why and what next.”

When Physics Meets AI: A Conversation with Dan Jeavons