We’re working with Anthropic to help you run your businesses inside Claude Duet. • Make purchases with @link • Issue refunds and understand business trends with the Stripe MCP

Move money with agents using Stripe Treasury. Customize permissions for your agent and pay invoices, transfer funds, and convert currencies. Get started: docs.stripe.com/treasury/age….

We're partnering with @MercedesAMGF1. Read: stripe.com/newsroom/news/mer….

.@willob on how Guinness gave us Student’s t-test “I studied math in college, and one of the tests from that is the Student’s t-test. This is how you derive either the standard deviation if you know the mean, or the mean if you know the standard deviation from a small sample, less than 30. This was a problem at Guinness because one of the biggest predeterminants of the quality of a pint of Guinness is the amount of lipids or fats in hops. So, they were having to take up hundreds of hops to see is this a high-quality batch or not? And they were losing a few percent per batch. And that means a lot when you’re in the high-volume, low-margin food-and-beverage industry. So William Sealy Gosset had to publish under a pseudonym. That's why it's called the Student's t-test.”

Now available for @atlas companies, coming soon for eligible C corporations.

RT @emilygsands: Is fine-tuning LLMs worth it? Generally yes when you need precise evaluations plus the flexibility to use rich, heterogene…

Built to Grow from @stripepress is now available. Order: press.stripe.com/built-to-gr….

You can now use Underdog, an AI assistant running privately on your device, to make purchases with @link at any online business.

.@finkd on @alexandr_wang leading Meta Superintelligence Labs “I talked to all the leaders of all the labs, all the heads of research, and I was like, no, Alex is the guy. He’s the fucking guy. We’re going to be able to pull together a team and recruit the people we need. We need the kind of strategic clarity that he has, the extreme focus on talent density, and the clarity of communicating the vision.” “Alex and I had spent a bunch of time talking over the years, and I was always very impressed by how he thought about things strategically. He was running this very operational data business, but it always felt to me like he was the sharpest entrepreneur of his generation of the ones I’d had a chance to meet.”

“To operate a gigawatt cluster for a year, if you're talking about building the CapEx it's probably closer to, you pay for it upfront, so it's probably $50 or $60 billion. But then that's just one cluster for one part of training.” “I actually think some of the more complicated questions that we had were, all right, so we're training this model and we know we want to train the model because this is key, but how much product demand do we think we're going to have?” “There was a moment where a bunch of people were like maybe we should just be a little more conservative. And it's like, no, we're doing this. We're going to make it work.” “If AI works overall, plenty of other people want our compute. So they're willing to pay if the cost is whatever, $15 billion a gigawatt, we could get a lot more for that. So I think that in order for it not to work out, it's not just that we have to fail, AI overall has to fail.” “And then even if that happens, we still have all these other uses to productively use compute. So in the grand scheme of things, we were definitely building out this compute for inference ahead of knowing that the product was going to be ready.” @finkd @alexandr_wang