Two weeks ago I spoke at SXSW Interactive in Austin, TX. Here’s a slightly edited transcript (it’s the “speaker’s cut”, including some demos I had to abandon during the talk):
Well, I’ve got a lot planned for this hour.
Basically, I want to tell you a story that’s been unfolding for me for about the last 40 years, and that’s just coming to fruition in a really exciting way. And by just coming to fruition, I mean pretty much today. Because I’m planning to show you today a whole lot of technology that’s the result of that 40-year story—that I’ve never shown before, and that I think is going to be pretty important.
I always like to do live demos. But today I’m going to be pretty extreme. Showing you a lot of stuff that’s very very fresh. And I hope at least a decent fraction of it is going to work.
OK, here’s the big theme: taking computation seriously. Really understanding the idea of computation. And then building technology that lets one inject it everywhere—and then seeing what that means. More »
Computational knowledge. Symbolic programming. Algorithm automation. Dynamic interactivity. Natural language. Computable documents. The cloud. Connected devices. Symbolic ontology. Algorithm discovery. These are all things we’ve been energetically working on—mostly for years—in the context of Wolfram|Alpha, Mathematica, CDF and so on. More »
This is an edited version of a short talk I gave last weekend at The Nantucket Project—a fascinatingly eclectic event held on an island that I happen to have been visiting every summer for the past dozen years.
Lots of things have happened in the world in the past 100 years. But I think in the long view of history one thing will end up standing out among all others: this has been the century when the idea of computation emerged. More »
Today marks an important milestone for Wolfram|Alpha, and for computational knowledge in general: for the first time, Wolfram|Alpha is now on average giving complete, successful responses to more than 90% of the queries entered on its website (and with “nearby” interpretations included, the fraction is closer to 95%).
I consider this an impressive achievement—the hard-won result of many years of progressively filling out the knowledge and linguistic capabilities of the system.
The picture below shows how the fraction of successful queries (in green) has increased relative to unsuccessful ones (red) since Wolfram|Alpha was launched in 2009. And from the log scale in the right-hand panel, we can see that there’s been a roughly exponential decrease in the failure rate, with a half-life of around 18 months. It seems to be a kind of Moore’s law for computational knowledge: the net effect of innumerable individual engineering achievements and new ideas is to give exponential improvement.
There’s been very little change in top-level internet domains (like .com, .org, .us, etc.) for a long time. But a number of years ago I started thinking about the possibility of having a new .data top-level domain (TLD). And starting this week, there’ll finally be a period when it’s possible to apply to create such a thing.
It’s not at all clear what’s going to happen with new TLDs—or how people will end up feeling about them. Presumably there’ll be TLDs for places and communities and professions and categories of goods and events. A .data TLD would be a slightly different kind of thing. But along with some other interested parties, I’ve been exploring the possibility of creating such a thing.
With Wolfram|Alpha and Mathematica—as well as our annual Data Summit—we’ve been deeply involved with the worldwide data community, and coordinating the creation of a .data TLD would be an extension of that activity. More »
I’m so sad this evening—as millions are—to hear of Steve Jobs’s death. Scattered over the last quarter century, I learned much from Steve Jobs, and was proud to consider him a friend. And indeed, he contributed in various ways to all three of my major life projects so far: Mathematica, A New Kind of Science and Wolfram|Alpha.
Things with Wolfram|Alpha are going well. Really well. So well that I’m now incredibly keen to scale them up dramatically.
When I started the Wolfram|Alpha project, I was not even sure anything like it would be possible. But over the last two years we’ve proved that, yes, with the tower of technology we’ve created, one can in fact take large swaths of knowledge, make them computable, and deliver them for everyone to use.
From the outside, it’s easy to see that there’s been steady growth in the domains of knowledge that Wolfram|Alpha covers. And over the next few months there’ll be some big additions, notably in everyday and consumer areas. But to me what’s most dramatic is what’s happened on the inside. Because what we’ve done is to build a giant system of technology and management processes that allows us systematically to make any area of knowledge computable.
The catch is that it always takes effort. We rely on a huge tower of automation. But in every new area we tackle there are new issues, new opportunities—and new ways that resources and human effort have to be used.
I’m very pleased with how broad and deep the coverage we have already achieved is. But we have an immense to-do list, assembled not least from all the feedback we’ve received from users of Wolfram|Alpha. And the good news is that at this point it’s a straight shot: given enough effort, we can complete the to-do list. We have all the systems we need to scale the knowledge in Wolfram|Alpha up all the way. More »
The precursors of what we’re trying to do with computable data in Wolfram|Alpha in many ways stretch back to the very dawn of human history—and in fact their development has been fascinatingly tied to the whole progress of civilization.
Last year we invited the leaders of today’s great data repositories to our Wolfram Data Summit—and as a conversation piece we assembled a timeline of the historical development of systematic data and computable knowledge.
This year, as we approach the Wolfram Data Summit 2011, we’ve taken the comments and suggestions we got, and we’re making available a five-feet-long (1.5 meters) printed poster of the timeline—as well as having the basic content on the web.
The story the timeline tells is a fascinating one: of how, in a multitude of steps, our civilization has systematized more and more areas of knowledge—collected the data associated with them, and gradually made them amenable to automation. More »
To mark the second anniversary of the launch of Wolfram|Alpha, I did an interactive webcast:
Here’s a transcript of my introduction:
[Note: here is what I wrote for Wolfram|Alpha’s first anniversary a year ago.]
So, as of today, Wolfram|Alpha has officially been out in the wild for two years.
And I’m happy to say, it’s doing really well.
You know, I’d been thinking about building Wolfram|Alpha for more than 30 years.
And I’ve been working to build the stack of ideas and technology to make it possible for nearly that long.
At the beginning, I was not really sure that Wolfram|Alpha was going to be possible at all.
And I think if I look a year ago from now my main conclusion was that after a year out in the wild, we’d proved that, yes, Wolfram|Alpha was indeed possible.
Well, now that we’re two years out, I think my conclusion is: Wolfram|Alpha is even a lot more important than I thought it was.
This effort to make all our knowledge computable is really something very fundamental, that’s sort of inevitably going to be needed just all over the place.
So what have we been up to this year?
Wolfram|Alpha is making possible a whole new very interesting and very powerful kind of computing. And with the release today of version 2.0 of the Wolfram|Alpha API, it’s going to be considerably easier for a broad range of software developers to take advantage of it.
I’m happy to say that it seems as if Wolfram|Alpha is pretty useful to humans—for example through the wolframalpha.com website. But it also turns out that Wolfram|Alpha is extremely useful to programs. And in fact, even today, the number of requests coming to Wolfram|Alpha each second from programs often exceeds by some margin all the requests coming directly from humans.
The reason for this popularity is really pretty simple: Wolfram|Alpha completely changes the economics of a lot of programming. You see, these days a remarkable number of programs rely on having some kind of knowledge. And traditionally, the only way to get knowledge into a program was for the programmer to painstakingly put it there.
But with Wolfram|Alpha in the picture, it’s a different story. Because built into Wolfram|Alpha is already a huge amount of computable knowledge. And if a program is connected to Wolfram|Alpha, then it can immediately make use of all that knowledge.
Whether one’s building a website or a mobile app or desktop software or an enterprise application, the point is that one can use Wolfram|Alpha as a “knowledge-based computing” platform—so that having all sorts of computable knowledge becomes effectively free from an engineering point of view.
How does a program communicate with Wolfram|Alpha? It uses the Wolfram|Alpha API. (These days, API is pretty much a term on its own, but it comes from “Application Program Interface”.)
As a scientist and a technology CEO, Stephen Wolfram often thinks about the future—both near-term and long-term. On June 12 he gave an unusual keynote talk at the 2010 H+ Summit @ Harvard, titled “Computation and the Future of the Human Condition”.
Check out the transcript to find Stephen’s latest thoughts on our future…
CNN recently ran the story “Can We Compute an Answer to Every Question?” highlighting Stephen Wolfram’s TED2010 talk. The story also featured an excerpt from Stephen’s “The Story of the Making of Wolfram|Alpha” presentation from the 50 Years of Public Computing at the University of Illinois conference, which was streamed lived here on the blog. As we move closer to Wolfram|Alpha’s first birthday, we thought you might enjoy hear the story of the making of Wolfram|Alpha from its creator, Stephen Wolfram.
Near the end of his talk, Stephen mentions that he’ll be attending the evening reception via an Anybots telepresence robot. Here is a snapshot of Stephen greeting guests at the reception.
We use this blog as a vehicle to highlight many of our big ideas and discoveries. Today we’re pleased to share with you Stephen Wolfram’s talk from the 2010 TED Conference in Long Beach, California, where he talked about the tools and methods he’s spent the last 30 years developing in his quest to explore computational knowledge.
TED, an organization devoted to bringing together the technology, entertainment, and design industries’ most innovative thinkers to present “Ideas Worth Sharing”, recently shared Stephen’s ideas with the world as a “TED Talk of the Day”. In the signature 18-minute video, Stephen discusses how his lifelong scientific pursuits led to the development of Mathematica, A New Kind of Science, and the computational knowledge engine Wolfram|Alpha. He continues, asking new questions and proposing a fourth project—discovering our physical universe through our computational universe.
“Will we find the whole of physics? I don’t know for sure. But I think at this point it’s sort of almost embarrassing not to at least try.” —Stephen Wolfram
Click to view the transcript and slides from Stephen’s talk.
Last week we shared with you a highlight from Stephen Wolfram‘s keynote at the International Mathematica User Conference 2009. The highlight included a look at what’s in the research and development pipeline for Mathematica and future directions of Wolfram|Alpha.
In this final video of our series, Stephen shares how the developments of Wolfram|Alpha will be integrated with Mathematica. (For more of Stephen’s keynote, please see parts 1 and 2 on the Wolfram Blog and part 3, “Future Directions for Wolfram|Alpha,” here on the Wolfram|Alpha Blog.)
Stephen Wolfram highlighted several future directions of Wolfram technologies during his keynote address at the International Mathematica User Conference 2009. Among them were new developments surrounding Wolfram|Alpha.
In the following video, Stephen outlines some of the directions in the works for Wolfram|Alpha and gives a sneak peek at one soon-to-be-released service.
Thanks for participating and submitting great questions. We look forward to sharing more with you in future web events.
Thank you for participating. A recording of today’s webcast will be available soon on the Wolfram|Alpha Blog.
Whether it’s Wolfram|Alpha, Mathematica, or A New Kind of Science, Stephen Wolfram is a man of big ideas. And this Thursday, September 17, at 2pm U.S. CDT, he will be sharing some of his thoughts, and taking your questions during a live webcast on justin.tv.
If you have a question you’d like to ask Stephen, please send it as a comment to this blog post or tweet to @Wolfram_Alpha. We’ll also be taking questions live on the justin.tv chat during the webcast.
Thanks again for all of your interest and support. We look forward to sharing this live webcast with you.
Stephen Wolfram recently received an award for his contributions to computer science. The following is a slightly edited transcript of the speech he gave on that occasion.
I want to talk about a big topic here today: the quest for computable knowledge. It’s a topic that spans a lot of history, and that I’ve personally spent a long time working on. I want to talk about the history. I want to talk about my own efforts in this direction. And I want to talk about what I think the future holds. More »
Our team is hard at work going through the tens of thousands of comments, suggestions, and questions coming in about Wolfram|Alpha.
We thought you’d enjoy hearing Stephen Wolfram respond to some of this feedback directly.
This Thursday, June 4, at 4 pm US CDT, we invite you to join us for a live webcast as Stephen answers some of the questions you’ve sent in. He’ll discuss the problems, the fixes, the future, and more.
If you have a question you’d like Stephen to answer, post it as a comment to this blog post.
We’ll also be taking questions live on the justin.tv chat during the webcast.
Thanks again for all of your interest and support. We look forward to sharing this live webcast with you.
This is a proud moment for us and for the whole Mathematica community. (We hope the launch goes well!)
Wolfram|Alpha defines a new direction in computing—that would have simply not have been possible without Mathematica, and that in time will add some remarkable new dimensions to Mathematica itself.
In terms of technology, Wolfram|Alpha is a uniquely complex software system, which has been entirely developed and deployed with Mathematica and Mathematica technologies.
Building the ultimate computational knowledge engine is a highly ambitious and long-term project. The Wolfram|Alpha that you will get to start exploring next week is really just the beginning. Still, there are a lot of ways that you might use Wolfram|Alpha.
In this screencast, Stephen Wolfram gives a quick introduction and demo of today’s Wolfram|Alpha.
There were lots of interesting questions and comments, particularly about the broader intellectual context of Wolfram|Alpha.
There’s really a very long and rich history behind the kinds of things we’re doing with Wolfram|Alpha.
And in fact, a little while ago my staff took some notes of mine and assembled a timeline about the history of “The Quest for Computable Knowledge.” I think it makes interesting reading; there’s quite a diverse collection of elements, some very well known, some not.
I’ve always been particularly struck by Gottfried Leibniz’s role. He really had pretty much the whole idea of Wolfram|Alpha—300 years ago.