that's not a unicorn startup, this is a large technology company. And now that it's an enormous organization, everybody's saying where are we going? How are we moving forward? And people have a very clear sense. And that's all I've ever wanted was a clear sense of what we're moving towards. One of the things I did when I got to Google was I said look we want to build the ultimate search engine on the internet. And we want to be a world class search engine. And everything else we want to do really is really about the search engine and that's it. Now once we've got that in place we're going to go and do other things. The other thing that's really important for me is the search engine is our way to show what we know about you and your interests to advertisers. It's our way to show it to our product group, it's our way to show it to other people in the company and if we do that well, if you're comfortable with the way we're doing this and it looks like we're doing it well, then the search engine will grow. And you will stay with us and you'll get more capabilities. But if you are not comfortable with that, then if you want a more ad-free way of getting to content or we're not making this easy to use or the UI is taking a hit, then you should probably be moving on. And I don't blame anybody that does that, because we should have put the time in to give them something that works and we didn't. I don't want to use this as an example, but it happened with the iPad in 2012, and it happens over and over again. But over time you'll look back at this and I was just happy that people liked what we did. That was the most important thing. So we started with the search engine. That wasn't the only thing that we were doing in Search. We also wanted to support local search, video search, the Knowledge graph and so on. So it's not just search, but everything else we are doing today is built on the Search foundation. As we've got experience with doing those things, we're starting to add more and more of the things we were building in the mid 2000s but it's an all-hands effort. And that's the way you scale a technology company. And what does it look like as a CEO, you mentioned the two examples earlier, and there are many other examples. You want to give users what they want and you want to create an atmosphere of safety, where people feel that it's going to get better over time. And I've been at this company for seven years, just about. But let's take just a few of those and go over them. So the first one is, when we do a search and a result pops up, what's the first thing you want? The first thing you want is there's a nice visual indication that we're finding something. That the page is being crawled and the query is being formatted correctly. And that's what we deliver. We are finding things as fast as possible for that query and you want to know that. That's very important for what we're doing. We don't know what you're looking for yet, but we are going to find it. And as we find it, you want to get the right results, the things that you're looking for. And that's why search is so powerful. Because we can find information that you are interested in. Now, getting the results is an incredible challenge. So for any query, it could be hundreds of billions of potential results, which is a huge number and you need to make sure that the ones you find are in a useful format. And so we did some work and today we have a very important idea called the visual interface. And in that visual interface is the search result that gets shown to you when you're doing a search. And I really think that's a breakthrough. It's the first time that we actually find stuff for you based on what you are looking for. And that's what the Search is all about. And that's why it's great. And over the last seven years, we've gone from that visual interface to an entirely visual interface. And just looking at the video of the search, and thinking about what it was and how it was working, just being able to look at the thing we did seven years ago, it's an incredible feat. Now this is something we have been doing for a while. There is some interesting stuff at the end of this, a lot of machine learning on a product that we are not really putting into a lot of advertising or the branding that you've got, because it's very interesting. I think it's something we have just begun to do and where it will go, we'll see. But on the Search side, the work that we did with the visual interface, our next thing to do was understand that users want to find what they're interested in and show it to them. So instead of just being shown a web page or an article, we show them what the article is about. We show them the pictures in the article, and so on. And this is what we did with a new product called images. And images, the way we thought about it, was this is a two step process: one we're going to crawl and find images for you, two we're going to create a visual interface for you, which is the image viewer. So in this, the user starts by telling us that they want an image. So this is a query, this is a picture, and then they tell us the image they want to see. So it starts to bring up the image that the user wants to see, whether it's from a photo site or from a web site or something like that. And it shows it to them, it zooms in on it and shows them all the pictures around it. And it's got a pretty UI to help you do what you want to do. So if you want to view it full size, you can do that. You can download it, you can share it. It's a pretty interesting thing. And now this is still being built out. And you know this was the thing that we were talking about a few weeks ago, this whole idea of having an interactive voice response or some sort of automation where you can get your groceries delivered at your house. And we could take this and say that could be a very powerful thing that you're looking for, but let's take images, which is now pretty mainstream, and see if we could take it to that next step and do something really powerful. And then that lead to another product called the visual discovery, where we show you images that we think are similar to what you were searching for, because we want to make sure you see the really good results. So you'll notice in the image here, there's a lot of different images that are similar to what you were looking for. But at the end of the day, if we take an image, in this case the thing to the left is very close, and then we look at the image and we say, you know, there's a lot of people who love this image, what about taking it to the next step. And so for us this is the natural thing. But in today's era, that UI needs to happen. And this idea of you're a human sitting in front of a computer, you want to interact, you want to get stuff done. And as a matter of fact, the most significant thing is that it can look up where it's being used, so we know what to show you next. You're going to do better because we've got a bunch of pictures of this product and let's see what you do when you're thinking about it. So there was a lot of work that we were doing here and we're still doing it. And a lot of stuff here and that work is really exciting to me. And the big idea is that we want to get you information that is useful to you. So we don't just want to take the words from a keyword and show you that. We actually want to take what the language is that you use and show you that, because we know that that's what you're looking for. And the same with people. We know that this company is talking about these guys. That's what they're saying. So this whole concept of showing people things based on the queries they are using is something that we started doing about a year ago. And it went through, and I want to tell you about what we have done so far, I want to explain why we are doing