It's critical and I'm glad you brought it up, Jon, and and, you know, Microsoft, in fact, years ago, as we were doing our work on AI, we built responsible AI framework that has six core principles as you started to it to enumerate their fairness, accountability, transparency, and it was important is how they're used in in the way that we engineer our product. Not only are they a guide for our engineering work, and how we implement AI within customers, but they form the basis of our engineering policies, our standards, and ultimately, they flow into the way that we've set up our training, our tools, our testing, procedures, and, you know, they're auditable, and and verifiable. So that these are critical principles. Now, if I if I took a step back and said, what principle am I most concerned about at the moment? Where do I see the biggest challenge, right? When having spent a lot of time in the last, I'll just say, six months in in Africa and India and other parts of the Global South, I do think the principle of inclusivity and ensuring that we're not widening the digital divide, but we're narrowing the digital divide is is a tough problem. Right? It's a tough problem. And what's really interesting is some of the work that our Microsoft research team is doing on how do we engineer this technology, so that it can work effectively in lower resource markets with lower bandwidth, perhaps with more limited budgets so that the AI needs to be more affordable in the way that we roll it out. And how do we use AI, as really a superpower to unlock digital capabilities for those that may not be very digital fluent, and, and one of those superpowers is language, right? Being able to interact through local language with a computing system and get what you need, whether that whether you're making a payment, whether you're filing for a property permit, whether you're getting information on your on your farm, right, and the soil conditions, and what you need to plant, and being able to do that in what we will call lower resource languages. So things like Swahili, or other languages around the world, I think, could be a real game changer. And our MSR Microsoft research team is working hard on these problems to ensure that not only does AI, you know, support us here in Redmond and Seattle, but it's actually helping narrow that digital divide in in the Global South. And we have a lot of work to do, I'll be honest with you, we have a lot of work to do. But it's something that we're very focused on.