Susan Li
CFO at Meta Platforms
Justin, I can go ahead and and take a crack at both of those. And, obviously, Mark, you should you should feel free to weigh in. You know, right now, we are focused on, ensuring that we have enough capacity for our internal use cases, which includes both all of the core AI work that we do to support the recommendation, engine work on the organic, content side to support all the ads ranking and recommendation work, and then, of course, to make sure that we are building the training capacity that we think we need in order to build frontier AI models, and to make sure that we're preparing ourselves for, the types of inference use cases that we think, you know, might, that we might have ahead of us as we, eventually, you know, focus not only on developing frontier models, but also how we can expand, into the kinds of consumer use cases, that we think will, you know, be hopefully hopefully widely useful and, and engaging for our users. So at present, we're not really thinking about, external use case, external use cases on the infrastructure, but it's a, you know, it it it's it's a good question.
