Oren Etzioni Quotes

Computers ought to help people find their own best path through lots of textual information.

Google is all about information. So the notion of using and presenting information in the right point at the right time to users is what, in essence, describes Google.

Without your data, Google couldn't pursue the dream of trying to figure out what you're really thinking when you're asking a question, of trying to discern, from the imprecision of your language, the exact answer you're looking for.

When you use Google, do you get more than one answer? Of course you do. Well, that's a bug. We have more bugs per second in the world. We should be able to give you the right answer just once. We should know what you meant.

We want Google to be the third half of your brain.

I thought of the idea of Summly in March or April 2011. I was 15 years old and I was revising for some kind of history exam. The problem was I was trying to find information that was useful to me. When you type into Google an esoteric term, you get quite a lot of stuff that's not relevant.

Search as a paradigm will continue to be probably even increasingly important because the information that's out there is only going to grow exponentially - and the only way to sort through all that is by some form of search.

Type 'What is th' and faster than you can find the 'e' Google is sending choices back at you: 'What is the cloud?' 'What is the mean?' 'What is the American dream?' 'What is the illuminati?' Google is trying to read your mind. Only it's not your mind. It's the World Brain.

I'm a geek through and through. My last job at Microsoft was leading much of the search engine relevance work on Bing. There we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.

The birth of the search engine, it's nothing new: it's essentially embedded in our literature; it's how ideas relate, how the mind makes connections. I mean, connections are made online through links, and within an algorithm, they're made through degrees of relevancy between different terms.

Technologies like Ayasdi's exist now to automatically discover information from data without having someone making guesses up front.

We believe PulseRank will replace PageRank over time for the real-time Web.

Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the Web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.

When you look at Google, its job is to find you the perfect web page. There are a lot of cases when you want to know something and a list of websites isn't ideal.

Relevance is a search engine's holy grail. People want results that are closely connected to their queries.

The ultimate search engine would basically understand everything in the world, and it would always give you the right thing. And we're a long, long ways from that.

In the early days, I really felt the pain of not being able to find information easily. I guess that helped me to develop an urge to write things like a search engine.

It turns out a human being in two, three or four hours can build a search result that's much better than Google, Yahoo or Ask.

My mission at Google is to develop natural language understanding with a team and in collaboration with other researchers at Google.

The possibilities for creation and insight are endless. We're constantly collecting more data, and it's starting to be very relevant to our lives.

Search is an unsolved problem.

I was really interested to see whether we could make predictions or forecasts by listening in on what people were saying on social media.

We have entered an era where the kinds of data and analyses that people run have gotten incredibly complicated. So you have researchers using sophisticated software programs that they probably don't understand but are generally accepted and everyone [in the field] uses.

Before Google, I spent the summer building a program that would look at what websites you would go to and what websites other people would go to - and built a collaborative filtering program that helped you find related sites to look at.

Data is going to be dynamic... and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.