Meta must build its own frontier AI models because relying on open-source models is not viable — they are not as strong as frontier models, and depending on other companies' actions is risky for a company like Meta.

I can take the open source question. Let's see. So basically the question is, do we think that because there are some open weight models that we can just rely on those. I mean right now the open source models are not as strong as the frontier models. So no is the basic answer. And then there's also just always the perpetual both policy debate and question around other companies' actions and whether that's actually a thing that a company like Meta can rely on. And I think that that's very tricky. So I think on both fronts, we believe we're going to be able to do better work, and we think that there's some risk in that reliance, I don't believe that that is the right thing to do. I think that we're a company that — if you look at Meta from — take a step back on this. A lot of people view the surface layer of we build some social media apps and we have an ad business. We are really a full stack technology company. We built our own data centers, our own infrastructure, our own chips, our own low-level software. When we got started — like my background in engineering, like I wrote a lot of the systems code. A lot of the reason why Facebook worked was because it actually — it just worked, right? Like it literally worked when other social networks did not work fast and efficiently. And I think we just have the ability to build things that can be more personalized, more optimized, more efficient. Some qualitative experiences are just not even possible for others to build because we go all the way down the stack. And it just seems to me pretty clear that having kind of sovereignty over building your own models is going to be an important part of that stack going forward which is why it is important for Meta.

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