So there's all sorts of restrictions on place, for example, when Dali just started being public, you could not put all sorts of words in there, and then came the other side of this entire thing, when mid-journey came out, and then you could write anything, and then it, obviously, ended up in weird parts of the internet, as it tends to be when you have free access to everything. So I think this is kind of two edges to that, and the balance will be somewhere in between. One way of enforcing now good usage, and it's a very, that wide definition, is that you always have to go through our review if you use OpenAI in production. So if you use it for fun, use it for fun. If you want to actually use that, you have to get, like a PR, as we know it from our world of context, but actually, somebody from OpenAI will go through your plan of what are you going to do without in production, how is it going to be reasonably safe, and so on. So this is how it's happening right now. How will it be in the future? That's a great question. Another interesting question of what is now versus what is later is something that has been surfacing on Hacker News Reddit and so on. So there's a professor that is called Scott Aronson, I want to say. He came to OpenAI for a year of research. So he's now in the middle of it, and he's driving the concept or the idea of watermarking output of text. We know watermark from images. You know, if you go to stock images, you pay money and then you don't get that watermark, and then they have the idea of, or some people in the team have the idea of doing that for text. And there's discussion, yes or no, good or bad and so on. And it's also interesting to do that for code, but it's a lot harder. And I think this is where one of the things that I'm super interested in, openness, original open source, it was in some sense just an IP law thing, right? Like it was just a copyright license, but it redistributed power in the industry, right? It made it possible for a small startup like Google, because their original plans were like, well, we're going to need, in order to do this, we're going to need tens of thousands of machines.