David Filo Quotes

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

There are a lot of services trying to solve the information discovery problem, and no one has got it right yet.

Search is an unsolved problem.

We're not in an information age anymore. We're in the information management age.

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

Scientists need the infrastructure for scientific search to aid their research, and they need it to offer relevancy and ways to separate the wheat from the chaff - the useful from the noise - via AI-enabled algorithms. With AI, such an infrastructure would be able to identify the exact study a scientist needs from the tens of thousands on a topic.

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

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

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.

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.

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.

I don't know whether I'm, like, jumping the gun but it's possible that in the future we may be able to use the information that we can't receive at the moment.

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.

That is really not much different from the search engines that are being constructed today for users throughout the entire world to allow them to search through databases to access the information that they require.

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.

Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.

I'm interested in sites that help people find information and filter what's available. The Internet is so big that no one can stay on top of everything.

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.

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.

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.

The whole concept of data science is that the software becomes the expert, and you, as the average user, are able to understand what's going on.

We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.

When I look at the next set of technologies that we have to build in Salesforce, it's all data-science-based technology. We don't need more cloud. We don't need more mobile. We don't need more social. We need more data science.

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.