And just to kind of, like, provide some observations on the conversation, right, like, this is a more nuanced conversation. Right? Like I, unlike Adam, I've only been coming to these since, like, 2015. But the conversation right now, about these issues has developed there, like in terms of policymakers thinking about these issues, having the constituents calling them about these issues, right. We are in a place, where to Miranda's point, we can recognize what the potential external analogies are, we have real case studies of what they are, in analogous analogous cases, not necessarily Internet, but other uses of algorithms, right, that aren't necessarily intelligent. And, and we, I think, and I also think that there's, again, a little bit back to that kind of like lightning in a bottle moment of it capturing people's imaginations, and also in terms of some of the benefits and the harms making intuitive sense, right? Like the people actually graphs how these technologies will, in fact, affect their lives, where it took a lot longer for the Internet to be to be taken up, right, like it took longer for it to actually start impacting people's lives. Right. Like, it just, you know, it had to be deployed. I mean, we're still deploying. Whereas I think that there's more of a sense of the immediacy of the need to, to think about these issues. But I also do think, in a positive light, that I think that the policy conversation is, is a lot more nuanced and mature in terms of how to think about it. I think some of the difficulties, of course, are that in terms of the technologies themselves, right, artificial intelligence is a broad umbrella term for a family of technologies that are actually quite different, that encompass a family of uses, or a broad set of uses that are actually quite different. And, and to our earlier conversation, is can be a little bit of a Christmas tree of like pet issues and things that people are concerned about in terms of overall stuff that are densenet aren't necessarily issues of artificial intelligence. And that's where that kind of like nuanced and subtle distinction can be quite difficult. Because also, the technology is actively changing and shifting and you get technical experts in the room and the technical experts actually disagree in fundamental ways about what the technology can do. And it's not that they're either one of them are necessarily wrong. It's just simply it hasn't proved out yet. So I think that there's we are, the train is further ahead than it was before, but we are writing it as some of the tracks are being built.