Google 2.0: Why MIT scientists are building a new search engine | Danny Hillis | Big Think
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Google 2.0: Why MIT scientists
Google 2.0: Why MIT scientists are building a new search engine
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In 2005, Danny Hillis co-founded Freebase, an open-source knowledge database that was acquired by Google in 2010. Freebase formed the foundation of Google's famous Knowledge Graph, which enhances its search engine results and powers Google Assistant and Google Home.
Hillis is now building The Underlay, a new knowledge database and future search engine app that is meant to serve the common good rather than private enterprise. He calls it his "penance for having sold the other one to Google."
Powerful collections of machine-readable knowledge are becoming exceedingly important, but most are privatized and serve commercial goals.
Decentralizing knowledge and making information provenance transparent will be a revolution in the so-called "post-truth age". The Underlay is being developed at MIT by Danny Hillis, SJ Klein, Travis Rich.
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W. DANIEL HILLIS:
W. Daniel Hillis is an inventor, engineer and author. He co-founded Applied Minds, holds hundreds of patents and is a pioneer of computer science. Hillis is Visiting Professor at the MIT Media Lab and Judge Widney Professor of Engineering and Medicine at the University of Southern California. He is developing The Underlay, a revolutionary knowledge graph.
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TRANSCRIPT:
Peter Hopkins: Among other projects—you're doing lots of stuff—you get involved in some very heady questions about the origins of truth on the internet. And this is where we're getting folks because the work that Danny's describing now in theory ultimately became a venture, right? Metaweb.
Danny Hillis: So that's right. So what I really thought is that what we need to do is have a way of representing the knowledge of the world in a way that machines can get at them, and take advantage of it—and that that should be shared. Everybody should be able to get at it. That is, in some sense if the human knowledge isn't a shared resource—then what is? I mean what has civilization been doing all these years? So I created a company that built this database called Freebase. It was a free database. And the company basically took any kind of public knowledge that we could get, information about anything and put it in machine-readable format.
We were kind of creating with the idea that this is going to be useful to the world. We didn't really have a business model. And we started building it up, and then it became useful to lots of different people including particularly all the search engines. So eventually Google bought it, of course. And then I got Google to agree to keep it open for three years, but they only kept the part that was already open open, and they started building it up. And so now Google has something called the Knowledge Graph which is the evolution of this. And it probably has about 100 billion different entities. So everybody in this room is in that graph. This building is in that graph.
Peter Hopkins: Yes, I took a screenshot earlier of when you just Googled NeueHouse, and all of these different—
Danny Hillis: That's right. NeueHouse is obviously in the graph. So this event is, and yes. So anything like a person, a place, an event. Anything like that is in this huge knowledge base, and all the relationships between them are. So when you, for instance, print out a Google map, that is rendered from the Knowledge Graph; so the Knowledge Graph knows the bus schedules and it knows the address of the restaurant and the traffic.
Peter Hopkins: It's drawing all this information together around the thing that the searcher cares about.
Danny Hillis: That's right. So the map is just in some sense a custom rendering of a piece of the Knowledge Graph for your particular purpose. And also by the way, I don't know – this doesn't have any ads on it, but the other thing is that the ads are also like a lot of Knowledge Graph about what the products are about and whether—it probably has knowledge about you, specifically, and so on. So it's gone way beyond the kind of public knowledge, also again it probably has very particular private knowledge about people too.
Peter Hopkins: Now, from Google's perspective it's safe to say that this is a quantum leap in terms of the original basis of its citation-based search model. All of a sudden it is now providing this multidimensional search that is drawing in way more richness...
Read the full transcript at https://bigthink.com/videos/google-2-...
Watch the newest video from Big Think: https://bigth.ink/NewVideo
Join Big Think Edge for exclusive videos: https://bigth.ink/Edge
----------------------------------------------------------------------------------
In 2005, Danny Hillis co-founded Freebase, an open-source knowledge database that was acquired by Google in 2010. Freebase formed the foundation of Google's famous Knowledge Graph, which enhances its search engine results and powers Google Assistant and Google Home.
Hillis is now building The Underlay, a new knowledge database and future search engine app that is meant to serve the common good rather than private enterprise. He calls it his "penance for having sold the other one to Google."
Powerful collections of machine-readable knowledge are becoming exceedingly important, but most are privatized and serve commercial goals.
Decentralizing knowledge and making information provenance transparent will be a revolution in the so-called "post-truth age". The Underlay is being developed at MIT by Danny Hillis, SJ Klein, Travis Rich.
----------------------------------------------------------------------------------
W. DANIEL HILLIS:
W. Daniel Hillis is an inventor, engineer and author. He co-founded Applied Minds, holds hundreds of patents and is a pioneer of computer science. Hillis is Visiting Professor at the MIT Media Lab and Judge Widney Professor of Engineering and Medicine at the University of Southern California. He is developing The Underlay, a revolutionary knowledge graph.
----------------------------------------------------------------------------------
TRANSCRIPT:
Peter Hopkins: Among other projects—you're doing lots of stuff—you get involved in some very heady questions about the origins of truth on the internet. And this is where we're getting folks because the work that Danny's describing now in theory ultimately became a venture, right? Metaweb.
Danny Hillis: So that's right. So what I really thought is that what we need to do is have a way of representing the knowledge of the world in a way that machines can get at them, and take advantage of it—and that that should be shared. Everybody should be able to get at it. That is, in some sense if the human knowledge isn't a shared resource—then what is? I mean what has civilization been doing all these years? So I created a company that built this database called Freebase. It was a free database. And the company basically took any kind of public knowledge that we could get, information about anything and put it in machine-readable format.
We were kind of creating with the idea that this is going to be useful to the world. We didn't really have a business model. And we started building it up, and then it became useful to lots of different people including particularly all the search engines. So eventually Google bought it, of course. And then I got Google to agree to keep it open for three years, but they only kept the part that was already open open, and they started building it up. And so now Google has something called the Knowledge Graph which is the evolution of this. And it probably has about 100 billion different entities. So everybody in this room is in that graph. This building is in that graph.
Peter Hopkins: Yes, I took a screenshot earlier of when you just Googled NeueHouse, and all of these different—
Danny Hillis: That's right. NeueHouse is obviously in the graph. So this event is, and yes. So anything like a person, a place, an event. Anything like that is in this huge knowledge base, and all the relationships between them are. So when you, for instance, print out a Google map, that is rendered from the Knowledge Graph; so the Knowledge Graph knows the bus schedules and it knows the address of the restaurant and the traffic.
Peter Hopkins: It's drawing all this information together around the thing that the searcher cares about.
Danny Hillis: That's right. So the map is just in some sense a custom rendering of a piece of the Knowledge Graph for your particular purpose. And also by the way, I don't know – this doesn't have any ads on it, but the other thing is that the ads are also like a lot of Knowledge Graph about what the products are about and whether—it probably has knowledge about you, specifically, and so on. So it's gone way beyond the kind of public knowledge, also again it probably has very particular private knowledge about people too.
Peter Hopkins: Now, from Google's perspective it's safe to say that this is a quantum leap in terms of the original basis of its citation-based search model. All of a sudden it is now providing this multidimensional search that is drawing in way more richness...
Read the full transcript at https://bigthink.com/videos/google-2-...
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