Well, in terms of things that are particularly exciting, you know, I flagged a few of those things before, certainly I think in some industries, such as, you know, health care and education as long as we can get the risk mitigations. Right, as a prerequisite, you know, I think there are really exciting potential upside use cases that that do excite me, I think, you know, in AI is applications to science more broadly, in terms of expanding the boundaries of what science can do, is also really thrilling to think about, we already see AI being used in you know, for example, to predict protein structures in ways that could lead to new possibilities with drug development, which I think is, you know, would really be a collective benefit for humanity, if we can, again, contingent upon mitigating the risks, capture those benefits appropriately. In terms of things that keep me up at night, you know, this isn't necessarily a terrifying thing. But but just in terms of something that shows how daunting the task really is. You know, I think that, you know, when I think about AI, it's it's such a cross cutting area of policy right now, it really touches on everything that we we do in government, and it, you know, involves certainly, almost every federal agency, if not all federal agencies, in terms of thinking about what the right approach to AI is, you know, there's there's a reason that the executive order last year is almost 20,000 words, it's so long, because there's frankly, so much to do, you know, both in government and beyond government. And I think a lot of that obviously adds up to a pretty daunting set of tasks. There's a great deal of work to be done, which, which we've signed up to do. I'm confident that we can do it, but But certainly, yeah, it makes you appreciate the enormity of the challenge.