 Let's talk about that whole dynamic of, there are a lot of tech geeks, a new generation of, you know, MIT, you know, tech weenies, Berkeley, Stanford, Harvard, a lot of math, a lot of computer science. What's the thing that attracts the alpha geeks on this whole area? I mean, it's going mainstream now, so there's obvious reasons now. But back then, when you're doing all this, what was that one thing? Was it because you can solve hard problems, it was fun to play with? What was the kind of thing that got you going? That's a really interesting question. I mean, I think I got into database systems actually when I was an undergrad, still. And speaking personally, I just found the research very interesting. So I mean, ultimately, you know, it's sort of very clear that data is becoming sort of the center of the world. All right, so ultimately, you know, any sort of IT organization, you know, it's really around like how do you store and how do you process your data? So, you know, if you control the data, you really control the company, you control the business side of things. You really sort of are in the center of everything. So, you know, so therefore, you know, we can naturally actually want to focus on research on database systems. So, you know, I started as an undergraduate and then eventually went to MIT to work with Stormbreaker and Madden and then from there, you know, things just sort of, you know. A lot of these concepts are like combination of math, autonomous theory. So it's a little bit of a blend of CS and math, right? Yeah, it's true. Yeah, I mean, certainly, I mean, historically, databases, you know, have a very good three foundation. So, you know, from the time of Ted Cod with the relational model, you know, I mean, that was a theory paper. But, you know, but one thing certainly, and I think to go back to Peter's question, what really attracts alpha geeks is that, you know, yes, there's a bunch of theory because it builds something, you know. I mean, you know, as part of my PhD, you know, I got to be involved in building three systems that actually all three were at least open source and all three were used, you know, to some extent either by other researchers or by the industry before they were commercialized. And so I think that's, you know, I think the opportunity to build real systems is very attractive to, you know, to sort of a young student, you know, like myself who's sort of thinking about what he wants to do. You know, I mean, it's nice to think about, I started theory papers, but ultimately you actually want to build something useful. And then you add demand for these systems, these new systems, and you have a market. Now you got a ton of venture capital pouring in. Right. I mean, it's pretty awesome, right? Yeah, I'll be honest, I had no idea the level of sort of the size of the market when I was thinking about going into a PhD program. You know, I thought it was interesting, I thought it was pretty cool, but I didn't know it would be this, I didn't know it was a multi-billion dollar industry. And I didn't even know what multi-billion dollar industry meant, actually. So, you know, it's a little bit of a time to realize- It's good to have the blinders on, you know, from the whole outside influence. Right, absolutely. The claws of capitalism, you know, just go out and build some good stuff, right? That's right.