We're long term optimist about this technology. And, you know, I think when we look at, you know, kind of adversarial dynamics online, I think we hope, AI will, at worst, have a neutral impact, and at best to have a positive impact for people. And I think there's kind of two main kind of drivers where we think that could be the case. You know, one, I think, to a point that Austin made earlier, so many of the breaches, we see, in fact, I would argue probably every single breach that we we've ever seen, comes down to humans inability to deal with complexity, I think, the online ecosystem, both, you know, the amount of network services and products, as well as the complexity of software itself has just gotten too complex to handle. So whether that's for a developer or sysadmin, or you know, a user just trying to manage their exploding inbox, basically, every breach in the world comes down to that, and the eyes ability to, you know, reason and learn rapidly and at scale offers a lot of potential to address that kind of root cause of so many of so many breaches. And then the other and related to that is, you know, we've started talking a lot and I think we need more research to play this out, but kind of AI being the great equalizer, and, you know, kind of emerging research that LLM can help, you know, skilled professionals a little bit, but it helps unskilled professionals a lot. And when I look at like attackers versus defenders online, you know, I think attackers by their nature maintain at least a tiny bit of capability and intent, even if we would call them very low skilled, there's plenty of organizations that don't have a single IT professional don't have a single cybersecurity professional. And I think if we can incorporate this technology in a smart way, which is not to say like everyone should buy, like a new, you know, our new fangled AI product, but embed it in kind of the ecosystem through the widely used platforms and services and systems everybody uses, I think it could have this great leveling ability and take care of this kind of low hanging fruit. So, you know, of course, you know, Google, we have both, you know, consumer business as well as enterprises. And we're absolutely, you know, starting to see how AI can help these organizations both make making it into the consumer platforms to help them and that's kind of something we've been doing for for a very long time and in places like Gmail, but then also offering kind of technology to organizations, whether that's to, you know, help them manage threats, better write more secure code, and what have you. And the last thing I would say on you know, a reason I'm an optimist here is because I think attackers have a lot of advantages online right now. One advantage I do think the defensive community has is data. I think they've always had it. So you know, the cybersecurity companies, big tech companies. They've always had kind of access to better data sets. Stan attackers, the problem has been dealing with and managing that data. And now that we have this ability to turn data into models into software to help organizations, as long as we can keep developing that technology to aid organizations for defensive purposes, I think that can be really beneficial for the for the ecosystem.