Technology Quotes

As we transition from one screen to multiscreens, Google has enormous opportunities to innovate and drive ever higher monetization. Just like Search in 2000.

The amazing thing is that we're part of people's daily lives, like brushing their teeth. It's just something they do throughout the day while working, buying things, deciding what to do after work and much more. Google has been accepted as part of people's lives.

We are excited about Internet access in general. With better access to the Internet, people do more searches.

Part of our brand is that we're pretty understated in what we do. If you look at other technology companies, they might preannounce things, and it will be a couple years before they really happen, and they don't happen in the way they said they would.

Artificial intelligence would be the ultimate version of Google.

Sergey and I founded Google because we're super optimistic about the potential for technology to make the world a better place.

It's important to distinguish between "worry versus harm" when it came to privacy online.

We have always tried to concentrate on the long term, and to place bets on technology we believe will have a significant impact over time.

When I was working on Android, I felt guilty. It wasn't what we were working on, it was a start-up, and I felt guilty. That was stupid! It was the future.

You can make an internet company with 10 people and it can have billions of users. It doesn't take much capital and it makes a lot of money - a really, really lot of money - so it's natural for everyone to focus on those kinds of things.

In late 1995, I started collecting the links on the Web, because my advisor and I decided that would be a good thing to do. We didn't know exactly what I was going to do with it, but it seemed like no one was really looking at the links on the Web - which pages link to which pages.

Stanford would be first. You can take universities and just rank them, and they come out in the order you'd expect. So we thought, "This is really interesting. This thing really works. We should use it for search." So I started building a search engine.

Sergey also came on very early, probably in late '95 or early '96, and was really interested in the data mining part. Basically, we thought, "Oh, we should be able to make a better search engine."

Search engines didn't really understand the notion of which pages were more important. If you typed "Stanford," you got random pages that mentioned Stanford. This obviously wasn't going to work.

From a very early age, I also realized I wanted to invent things. So I became really interested in technology and also then, soon after, in business, because I figured that inventing things wasn't any good; you really had to get them out into the world and have people use them to have any effect.

I just sort of kept having ideas. We had a lot of magazines lying around our house. It was kind of messy. So you kind of read stuff all the time, and I would read Popular Science and things like that. I just got interested in stuff, I guess, technology and how devices work.

I wanted to be able to build things. Actually, in college I built an inkjet printer out of Legos, because I wanted to be able to print really big images. I figured you could print really big posters really cheaply using inkjet cartridges. So I reverse-engineered the cartridge, and I built all the electronics and mechanics to drive it. Just sort of fun projects. I like to be able to do those kinds of things.

Kids certainly don't have fear of using computers now. It's the same kind of thing. If you grow up in environments where you have ICs (integrated circuits) lying around, you don't have fear of that either.

I am really excited about the possibility of data also, to improve health. Imagine you had the ability to search people's medical records in the US. I imagine that would save 10,000 lives in the first year.

Well, this is the state of the art right now, understanding cats on YouTube and things like that, improving voice recognition. We used a lot of machine learning to improve things incrementally, but I think for me, this example's really exciting, because it's one program that can do a lot of different things.