The Ledger, every show

“There's no, like, I don't think, like, unless we have, like, great breakthroughs, like, George's vision is achievable, like, or, like, he should be thinking about a narrower problem, such as, I'm only gonna make this for, like, work for self-driving car con ne…”

“If they end up expanding onto the server side, and they'll probably build something like PyTorch as well, right? Like, eventually, that'll where it will land. And I think there, they will kind of fail on the, like, lack of differentiation. Like, it wouldn't be…”

“My view of the LLM inference market in general is that it's like the laundromat model. Like you, the margins are going to drive down towards the bare minimum, like It's gonna be all kinds of arbitrage between how much you can get the hardware for, and then how…”

“Maybe open source models are being as used as GPT is at this point in, like, all kinds of, in a very fragmented way. Like, in aggregate, all the open source models together are probably being used as much as GPT is. Maybe, you know, close to that.”

“If that central sinkhole is there, who's gonna go coordinate all of this integration across all of these, like, open source frontends? But I think if we do that, if that actually happens, I think that probably has a real chance of the open source models having…”

“Probably doesn't have a chance against Google, because, you know, Google has Android, and Chrome, and Gmail, and Google Docs, and everything, you know. So people just use that a lot.”

“The whole process of, like, how we think we got to AGI will be continuous and not, like, not discontinuous”

“Home robotics being, like, five to seven years away into commercialization. I think, like, It's not, like, next year or two years from now, but, like, five to seven years from now, I think, like, a lot more robotics companies might pop out.”

“But the amount of feedback that is driving back into the open source ecosystem is, like, negligible. Maybe less than one percent of, like, the usage.”

“That is by the end of this year, and 600 K H-One hundred equivalents. With 250 K H-one hundreds and including all of the other GPU or accelerator stuff, it would be 600 and something K aggregate capacity.”

“If you don't have enough compute, you figure out how to make do with smaller models, but like, no one as of today, I think, would feel like they have enough compute. I don't think, like, I've heard any company within the AI space be like, oh yeah, like, we fee…”

“50 years from now, it would be pretty obvious to, like, kids of the generation to just, like, you know, I guess I was saying, I was gonna say roll a reel on their phone, maybe phones will be, they're just like, you know, on their glasses, they're watching some…”

“It's used in Mars rover simulations, to drug discovery, to Tesla cars, and there's a huge diversity of, like, applications in which it is used in.”

“I think the scariest was when I went to visit CERN at some point, and they said they were using it, PyTorch, and they were using GANs at the same time for, like, particle physics research, and I was scared more about the fact that they were using GANs than the…”

“PyTorch is like a 190,000 lines of code or something at this point.”