The Ledger, every show

“Anthropic has gone from nine billion revenue to what they're at, 35, forty billion. Now probably by the time this airs, 40, forty-five billion. Who knows? ARR.”

“Paris is you know, they have all this spare power. One of the funny things is like, they're like, oh, okay, let's build a bunch of data centers. But then Spain, Italy, Belgium the Netherlands and Germany All freaked out because it's like, oh wait, all this spa…”

“And it's like, but it's like, comparing them, like, these models now can, like, actually, like, figure out exactly what you want, and more than 10% of Etsy's traffic is straight from GPT.”

“LLM inference will be bigger than training, or multimodal, whatever, blah, blah, blah inference will be bigger than training, you know, probably next year, in fact at least in terms of GPUs deployed,”

“Anthropic Mythos is more expensive as a model, but it spends a lot less tokens to do the thing, and therefore it is actually cheaper in most tasks than four, six Opus, because it's just way more efficient, even though each individual token is smarter.”

“Even if they wanted to build as fast as possible, it doesn't come till 28 early, late 27 at best.”

“America's not built power for 50 years really, right? It's like converted from coal to gas and like things like this, but like really just have not built wholesale new power on a large scale.”

“99 plus percent of their spend at the company is probably just compute.”

“It's the only semiconductor company that's worth, you know, I think even north of ten billion dollars that was founded as late as it was. Like MediaTek was in the early nineties and then Nvidia and everyone else is like from the seventies mostly.”

“They're subsidizing the semiconductor industry to the tune of like, 152 hundred billion dollars a year through SOEs, through CapEx that's not generating revenue, et cetera.”

“The cash on their balance sheet keeps growing, and they're gonna have north of a hundred billion dollars of cash on their balance sheet by the end of this year, I think.”

“If you take one quarter of NVIDIA shipments and you said all of them are going to inference Lama-Seven-B, you can give every single person on earth a hundred tokens per minute, right? Or sorry, a hundred tokens per second. You give every single person on earth…”

“I don't think Google is going to deploy a model that I can run on my laptop to help me with code or help me with, you know, XYZ. They're always going to want to run it on the cloud for control.”

“Everything that we've seen so far is that large-scale training has to happen in an individual data center with very high-speed networking.”

“At the peak of the dot com, you know, especially once you inflation adjust it the private capital entering the space was much larger than it is today”