open source

“And like, there's nothing open source that is anywhere close to 3.5 yet.”

“Like when people are building out tools because the existing open source stuff doesn't work and everyone's doing their own bespoke thing, you know, there's a valuable company to be formed.”

“I think the claims of ChatGPT level are long overblown in most of the things in open source.”

“I really think people in open source and academics are going to figure out how to use any preference data on any model just because they're scrappy.”

“We think the open source movement in AI, especially when it comes to all the supporting infrastructure, is going to win.”

“I think on the inference stack, there are open source inference stacks which are pretty good, and it gives us, you know, definitely today it gives us a competitive advantage to have the best one, and So we're not sort of rushing out to release everything about…”

“When you scrape enough of it, most of open source is updating readmes and docs.”

“You've seen like the price performance of these models improve 10 or a hundred X year over year, which is, it's sort of like many Moore's laws compounded together. For a bunch of reasons. Like, that wouldn't have happened without open source, right?”

“Nowadays the tools are changing so rapidly that I'm like not totally skeptical of tool makers, but I just think that open source will broadly win.”

“And so, like, there just needs to be some kind of, like, standard for open source developers to all, like, work together to, like, build up this, you know, to scale environments up to, like, millions and millions of environments.”

“There really isn't currently an open source model that behaves in the way that these models do. We have things like R-one, which are great at kind of the single-term math and code reasoning problems. But they are not in the general purpose agents world yet.”

“So we don't have a plan at the moment to release models or to open source any model.”

“The stuff that has like, there's a core. And once you put the core, there's like a hundred integrations to do. That's where open source really shines. And there's a lot of that in open code. That's why we made it open source.”

“We don't think a product is good because it's open source. Usually a product is bad because it's open source. It tends to be like designed by committee and like just a smash of like a bunch of different competing priorities.”

“FAL especially has done amazing because media is still very open source driven when it comes to image and video generation. In a way, the language is not as much.”

“And we're using our own infrastructure to train our models. There still isn't an open source infrastructure that I could say, use this to train your very, very large model.”

“I definitely think things are moving towards you design a model. It's sized the way that fits well on hardware that you can design. You immediately start creating an inference hardware that is custom made to fit the sizes of your model. And then you can also s…”

“I think that any, you know, seasoned attacker is going to very quickly just switch models and with open source, just right on the tail of closed source. I don't really see the safety fight as being about locking down the latent space for XYZ area.”

“One, so, I mean, one of the reasons to open source something is if you think it's a layer that will actually, there'll be some network effect. It'll benefit from many people collaborating on it.”