RON: And then the third one at the bottom might come up and say, “Here are the top sellers in the computer category.” And so it might have some tablets, maybe the MacBook Air, maybe some optional things that are not quite the laptop. But these are the top selling products for people that looked at this, this is what they actually bought, right? All of those would be and could potentially be dynamically driven and dynamically built on the fly as the user is going through and behaving in a particular way in your marketplace. Every single one of those things should and most likely would drive additional conversions and additional sales. So those are the types of things that I think are important. Do you want to talk about AI in eCommerce since I brought it up?
CHRIS: Yeah, I think the best way to—and I’ll keep it relatively short, because I can just go on a monologue about AI—but the bottom line here is that we will continue to provide content around AI. There is truly a renaissance within AI. And AI is basically like the Russian matryoshka dolls, the nesting dolls. You have AI as a big bucket, then you have machine learning, and then within that you have deep learning. And a lot of the renaissance that's occurred over the last several years in particular, is based around deep learning in customized eCommerce solutions.
Now, to boil it down really simply, if you recall, back in high school or college or middle school, whenever you did the fitting of data points to a curve, that's basically what AI does. It does it on multiple vectors or dimensions because it has a lot of data, and you’re looking at a lot of data. So it's not just a 2D graph that we're fitting the data points on. We're fitting it on multiple dimensions, but it really just ends up being basic matrix multiplication. It's not very complicated. But it does, whenever you get at scale, require relatively decent amount of focused compute resources.