Mark Zuckerberg on Muse, Meta's biggest AI bet yet

Mark, last time we spoke, you called me. It was on the weekend. Well, you called me through the glasses, which was the interesting part. >> Was it loud in the background? >> You were You were going to fish. I wasn't going to say it, but yeah, it was on the weekend. >> The noise cancellation actually is

pretty good. >> Oh, it's great. >> Yeah, it's great. >> Yeah. I I mean, >> yeah. Um, but you wanted to talk about this essay manifesto. I don't know what you call it. Manifesto, we'll say, >> uh, that you published recently and and it's long. I mean, I'll caveat, but there's a lot in it. And I wanted to

start there because there's a lot of big ideas in there and they'll connect to kind of the main thing we're talking about today. >> Yeah. >> Um I'm curious like why write that because it's long. There's a lot in there. [laughter] >> Well, yeah. Well, I I feel like if you're going to invest so much in

building AI, uh, then it's important that people understand what your lab stands for and what your values are and and basically AI has so many opportunities, but there are also all these real risks. So, I think it's very important that everyone who's working on it has a wellthoughtout theory for how the work that they're going to do is

going to lead to a positive future. You know, it's interesting because I mean the different labs have have some different philosophies on this and there's, you know, a lot of things that I think have become conventional wisdom in the industry that I just strongly disagree with. And you know, my my view on this is that the path to have a

positive future for everyone is to make sure that we distribute the technology as widely as possible. And that's based on three major principles that that we have. One is that empowering people is the source of prosperity in the world. and it has been throughout history. Two is that the primary purpose for AI is