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>> I guess as soon as someone came up with this highly marketable idea of having Web 2.0, the question was what's going to be Web 3.0? There's a lot of people fighting for that title and we recently became one of them. So tell us a little bit about your ideas.
>> Well, there's been a long, long laundry list of candidates for what one might think of what is Web 3.0, and it's completely uninteresting from a viewpoint of semantic categorization but it's interesting from a viewpoint of innovation and invention. And it's really kind of like where, where will the great new applications be built? Kind of what's the foundational elements of them that will be part of how we change hundreds, millions of people's lives, even billions of people's lives. And the progression, I think, goes among like this, which is Web 1 is search for files, you know, HTML, PDF, etcetera, download them where inner activity was this strange place we go in cyberspace. Web 2 is applications based on your real names. So on Web 1.0 when you went to an AOL chatroom or something, you were an anime fan or, you know, you know, San Francisco, you know, cafe goer, or something like that. And in Web 2, you actually read Hoffman, or, you know, you know, your real identity, your real relationships. And I think what Web 3 comes out of, cause the most interesting of all the candidates is mobile, but it's kind of obvious, like mobile's transforming the world, we always have in our pocket except for on stage. And but what's interesting about it is, I think that the platform part of it will be data. It's data that we generate explicitly, like putting into social networking platforms or blogs or tweets. It's data that we generate implicitly, turning on our phone in a location or checking in, even. And then data that is analyzed. And what I wanted to do by throwing my hat into this race, was not so much try to join the race or win the race as much as focus on this is where some massive innovation will happen that will transform our lives.
>> So just having data doesn't mean much, right? What are some examples that would fit into your ideas? Is this something people are already doing? Is this just--I mean, is this just mash-ups? We've had these around for quite awhile.
>> Well, so there's been actually data mash-ups for a long time, even back to when people are assembling, for examples, credit scores or kind of equivalent. What's different here is that everyone is now a participant in, you know, what is sometimes called the data exhaust where you are producing information one way or the other. And that, that production on a mass basis can now be mashed up in these kind of much more fundamental ways. So like one of the things that--an interesting example--there's an Israeli company called Ways that essentially everyone turns this app on on their mobile phone that tracks where you're going, you know, kind of your location and your velocity and creates an instant traffic map. A couple weeks ago, Google announced Route Around, which is that with Android and latitude plus integrating in traffic data. And it's those kinds of data sources that enable platforms that now benefit individual consumers because partially before on most of these data mash-ups, they weren't actually features built for you, they were features built for businesses that were doing like direct marketing analysis or that sort of thing. These things are actually, how do we navigate the world? And that's what I think is part of--part of what's new.
>> Ok. So when people are contributing data they're also getting something back for it?
>> Yes. Well, and the applications that we use, that benefit us, will be based on--like there will be new kinds of categories or applications based on data and it's happening already, although I think it'll happen a lot more in the next five years. Music
==== Transcribed by Automatic Sync Technologies ====
