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And to give you a reality into how we do this, How Emily House, Gonzol and Rachel Worspan and I invented this over the years with wonderful, wonderful people helping out, Ken Pruitt, David Gerrol, Michael McKee, John Pharaoh and all. The way we invent it is to go find voices. And last night Sunday evening in New York, a concerted effort was just put in and it's just text messages back and forth people watching the football game and all that. But it's just named. There's not a lot of discussion,
there's not a lot of meetings and all that. It's just go get Joe Wisenthal. We did. Joe was brilliant at odd LA on using deep seek. We said, go get Stacy Raskin at Bernstein. He's in Los Angeles Chemical Engineering MIT. He's definitive on this AI stuff. He was spellbinding from Bernstein getting up in his case at I think the five thirty six am hour in LA. But really the first email I sent yesterday and it wasn't just me, it was a whole team. We all agreed.
Man Deep Sing and Inner Ragrana at Bloomberg Intelligence have a holistic view of this uproar in technology from this Chinese company, Deep Seek like nobody first. Man Deep Sing on the impact of this AI shock.
Clearly, I think the investor expectations were different, which is why you see this sort of stock reaction. So, yes, we have Moore's law and we have other laws in terms of figuring out how the cost curve may look like over time. But clearly this is a step change in terms of you know, what you can do with the existing chips that are out there, as well as
what you will need going forward. So I think this is a big moment in terms of just the efficiency that we can see with these chips and the kind of scale that is required for the next versions of these foundational models. But there is no doubt that this makes generative AI more accessible to software companies as well as you know, overall users.
Men Deep saying there, one thing came up today. I didn't even have time on the show to talk about it. Multiple times today people spouted about Jevins paradox. William Stanley Jevons is one of my heroes. He in the middle of the nineteenth century, and he has a claim for like sun spot theory, figuring out what sunspots mean. He did things in the coal industry, very colectic, very applied economics in the nineteenth century. William Stanley Jevons is the
person who dragged ancient economics into the modern age. There's another guy named Walrus as well, but William Stanley Jevons is the one who brought the calculus into static economics. In a generalization, Jevins took the static economic analysis of before over to a more dynamic economic analysis that was picked up by Marshall and others at the turn of
the century. There's Jevons paradox, which I'm not going to go into, but to make a long story short, you're going to hear a lot about it, and it's just about the system of technology's impact on the entire macroeconomic structure. Andro Rana knows that he doesn't need to be lectured by me on Jevins paradox. Aner Rana expert on the cloud here on this uproar in tech.
So one of the things, if you would say, is if this AI adoption could which is absolutely in infancy right now, The only thing we have seen is in the consumer world. If enterprises start to put this in their core applications, then they would need a lot more you could say, firepower to run it. Most of the things that we have discussed is people would not want
to do this on their own premise. They're bigger companies well, but most of them will go to a handful of cloud providers and that would be Microsoft, Aws, Google and then Oracle. So for all these companies to increase their capacity now they are only seeing the orders and based on that they are expanding their data center footwork.
Enter Agrana we had time with both enter Agrana and man Deep saying to try to get forward to the earning season upon us. That'll be our focus, I think in the later this week, maybe tune into Bells of Power with Joe Matthew and Kaylee Lyons because we hardly talked about politics today. In international relations, thank you Damian Sasaur, some currency chat, but all in all, just an extraordinary day into the earning season, which we'll cover this week.
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