Today on the podcast, Dario Amadei and Jamie Dimion were both on stage in New York while Anthropic

was shipping 10 pre-built finance agents.

We're also talking about their full Microsoft 365 integrations and a ton of other updates

and their new run rate coming out of Anthropic.

In addition, every major U.S. Frontier Lab has agreed to hand over their models to the Commerce Department before launch.

This is kind of a new thing that's getting drafted up where the government wants to look at the models.

A lot of people have opinions on that.

Also, Google's DeepMind staff in London have voted 98% to unionize, and they're doing this over the Pentagon and the IDF's deal. We've kind of

covered this in the past. There's a bunch of Google employees that have signed letters where they

don't want Google to work with the Pentagon. Also, Sarah Brass has filed for a $26.6 billion

IPO, and Open AI is going to get 33 million shares of that because of their partnership.

PayPal has announced 4,500 AI-driven layoffs, and basically they're having to redo everything

at PayPal, and they're trying to use AI as the catalyst for bringing the company back.

They are way down from their high of 2021.

IBM Think is trying to reframe how you think of Watson X orchestrate. And there is also a Harvard study that finds

an opening eyes O1 model outdiagnoses ER doctors in real triage cases. A lot to cover. Let's get into

it. The first story I wanted to talk about was this

Harvard Medical School study. They did it with Beth Israel Deaconess, the team over there,

and they just published a science paper that basically said opening eyes, O1 preview. It was outbeating

a bunch of people inside of the ER, a bunch of doctors specifically. They put it head to head with two internal medicine attendees. So basically they had 76 real ER cases. And ER, by the way, I'm going to say is kind of an interesting place because this isn't like doctors that know their patients and work with their patients and understand their history. I think you get much better results there. But to be fair, ER is a real, you know, it's a real use case. It's a real thing. And so inside of the ER, they gave the same electronic medical records, the same vitals, the same intake nurse notes, all of that. And at the triage stage where information is like basically, it's the hardest to get, you have to make a call and you have to do

it very quickly in the ER right you're trying to keep people alive they're like bleeding to

death they're having some sort of you know big issue the 01 model hit the exact or very close

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