Wolfram Alpha

Another remarkable Stephen Wolfram project — a “computational knowledge engine”. Alpha is so ambitious it is impossible to estimate the possibility of success. But you must try it.

The home page is nearly blank. At the center, just below a colorful logo, you’ll find an empty data field. Type in a phrase, hit Return, and knowledge appears.

No, it’s not Google. It’s Wolfram|Alpha, named after its creator, Stephen Wolfram, a 49-year-old former particle physics prodigy who became bewitched by the potential of computers. He invented a powerful computational software program (Mathematica), built a company around it (Wolfram Research), and wrote a massive book (A New Kind of Science) that claims to redefine the universe itself in terms of computation.

So when Wolfram asked me, “Do you want a sneak preview of my most ambitious and complex project yet?” he had me at “Do.”

The product of four years of development, Alpha is an engine for answers. Its ambition is to delve into “all the knowledge in the world,” Wolfram says, to find and calculate information. Though Alpha’s interface evokes Google ― whose co-founder Sergey Brin once spent a summer interning for Wolfram ― it’s more like the anti-Google.

Type in a query for a statistic, a profile of a country or company, the average airspeed of a sparrow ― and instead of a series of results that may or may not provide the answer you’re looking for, you get a mini dossier on the subject compiled in real time that, ideally, nails the exact thing you want to know. It’s like having a squad of Cambridge mathematicians and CIA analysts inside your browser.

Type in “Pluto” and Alpha calculates the dwarf planet’s distance from Earth at that very instant. Bang out a series of letters like “ACTCGTC” and Alpha recognizes it as genetic code and tells you what strand of DNA that particular gene lives on and what we know about it. Wolfram has licensed ― or created ― a whole library of databases and massaged them so the information is pliable. (To date, they include Wikipedia, the US Census, and “about nine-tenths of what you’d see on the main shelves of a reference library,” he says.) Combined with the near- magical abilities of Mathematica, Alpha is a powerful computational engine that can effortlessly answer queries that no one has asked of a search engine before.

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Semantic web maven Nova Spivak, the CEO of Radar Networks, wrote a longer reaction to Alpha for Techcrunch (following a two hour demo by Wolfram). Excerpt:

Where Google is a system for FINDING things that we as a civilization collectively publish, Wolfram Alpha is for ANSWERING questions about what we as a civilization collectively know. It’s the next step in the distribution of knowledge and intelligence around the world — a new leap in the intelligence of our collective “Global Brain.” And like any big next-step, Wolfram Alpha works in a new way — it computes answers instead of just looking them up.

Wolfram Alpha, at its heart is quite different from a brute force statistical search engine like Google. And it is not going to replace Google — it is not a general search engine: You would probably not use Wolfram Alpha to shop for a new car, find blog posts about a topic, or to choose a resort for your honeymoon. It is not a system that will understand the nuances of what you consider to be the perfect romantic getaway, for example — there is still no substitute for manual human-guided search for that. Where it appears to excel is when you want facts about something, or when you need to compute a factual answer to some set of questions about factual data.

I think the folks at Google will be surprised by Wolfram Alpha, and they will probably want to own it, but not because it risks cutting into their core search engine traffic. Instead, it will be because it opens up an entirely new field of potential traffic around questions, answers and computations that you can’t do on Google today.

The services that are probably going to be most threatened by a service like Wolfram Alpha are the Wikipedia, Metaweb’s Freebase, and any natural language search engines (such as Microsoft’s upcoming search engine, based perhaps in part on Powerset’s technology among others), and other services that are trying to build comprehensive factual knowledge bases.

As a side-note my own service, Twine.com, is NOT trying to do what Wolfram Alpha is trying to do, fortunately. Instead, Twine uses the Semantic Web to help people filter the Web, organize knowledge, and track their interests. It’s a very different goal. And I’m glad, because I would not want to be competing with Wolfram Alpha. It’s a force to be reckoned with.

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Given the Mathematica foundations, Alpha does math in ways that students are going to love. E.g., try “lim(x->0) x/sin x” .

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