Matt Bornstein: belief

Transcript context

…You're good? No, I'm, I'm a huge data set fan. And, and, you know, we've, we've followed Simon's work for quite a while, and, and Nathan, it's, it's great to have a chance to share a stage with you. I think folks probably saw we you know, released a bunch of sort of, you know, VC version of evaluations. You know, we're way less smart than, you know, Nathan and Simon and a bunch of folks on the in the, in the space here. But using just sort of the. Does it feel good approach and trying to get a fairly representative sample across different types of prompts? The model seems very good. We were playing a lot with 13 B and we're playing now with 70 B, and it really does give you kind of very fast g p t 3.5 level responses to some questions. I, I think Simon's point about benchmarks is very well taken. It's hard to know how to interpret those. So, so we sort of go for the, for the direct version and for creative tasks. You know, especially it's, it, it seems very good so far. So, so a lot of what we're doing is just trying to get it out there as much as possible and, and, and as fast as possible. You know, I I think we should all be incredibly, you know, appreciative that Meta is doing this and it, and it's not, you know, maybe quite perfect, you know, for some of the reasons that folks are are talking about. But you know, I think it's gonna be a huge unlock in open source LLMs and, and we're trying to, you know, just sort of support the community as much as possible. Yeah, I have to say, you guys are doing a bang up job recently. What, so what is, is there, this is a big team effort, right? Like I, I, I see that there's a number of names from your team, just essentially building projects and then collaborating on this this demo. Like maybe could just, could you describe like what it is andreessen's ACC sort, sort of involvement so far and like yeah. What, what, what is the scope of this? Yeah.…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.