Wolfram Alpha, an Artificial Intelligence engine that will be used to answer factual questions, is one of the most innovative and ambitious projects I’ve come across. It’s not coming out until May, but details are emerging about what will surely be a major player in the future of the web.

From Nova Spivak, who met with Stephen Wolfram to discuss the project:

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.

More information from Wolfram’s blog:

And in effect, we can only answer questions that have been literally asked before. We can look things up, but we can’t figure anything new out.

So how can we deal with that? Well, some people have thought the way forward must be to somehow automatically understand the natural language that exists on the web. Perhaps getting the web semantically tagged to make that easier.

But armed with Mathematica and NKS I realized there’s another way: explicitly implement methods and models, as algorithms, and explicitly curate all data so that it is immediately computable.

It’s not easy to do this. Every different kind of method and model—and data—has its own special features and character. But with a mixture of Mathematica and NKS automation, and a lot of human experts, I’m happy to say that we’ve gotten a very long way.

And finally, a HackerNews testimonial:

I had a chance to see this in action a while back. While I, and none of the people I saw this with, were not at all impressed by NKS, this project blew our minds. We watched as it pulled up and manipulated everything from Egyption fraction expansions to historic weather data to the human genome. If the author of this article is exaggerating, it’s not by a whole lot. While Wolfram may not be bringing about the revolution in science he hoped to, don’t forget that he and his crew made Mathematica, and are very capable of creating impressive software.

Here’s an excellent response to a video by Andrew Wagner, who made a killing selling online greeting cards:

My mother pays something like $50 a year for online greeting cards. Do the quick extrapolation on how many mothers there are in America, how many of them use the Internet, and how many you can reasonably convert. Yeah, $40 million for a market leader doesn’t seem that unreasonable now does it.

You will not get invited to give conferences at The Future Of Web 3.0 2012 if you make greeting cards. Nobody will ask you for your insights on scaling, principally because at your scale it will be a boring engineering problem with well-understood solutions. You’ll just put smiles on a few mothers’ faces and, oh, well, there might be a little bit of money involved.

I think I’ve mentioned this a few times, but to say it one more time: grown women have money, too, and nobody in tech wants it. Instead of building stuff they want and charging money for it (money they have and spend), we want to push CPM levels to about a quarter (trending towards dimes!) while making social networks for the same people who are already members of six.

There’s a huge lesson there: you don’t have to make something shiny. Just make something that people will use.

There are a lot of parallels between writing well, speaking well, and good web design.

Take the following, for instance, from Dale Carnegie’s the Quick and Effective Way to Effective Speaking:

Some years ago I wrote a series of articles for the American Magazine, and I had the opportunity of talking with John Siddall, who was then in charge of the Interesting People Department.

“People are selfish,” he said. “They are interested chiefly in themselves. They are not very much concerned about whether the government should own the railroads; but they do want to know how to get ahead, how to draw more salary, how to keep healthy. If I were editor of this magazine,” he went on, “I would tell them how to take care of their teeth, how to take baths, how to keep cool in summer, how to get a position, how to handle employees, how to buy homes, how to remember, how to avoid grammatical errors, and so on. People are always interested in human interest stories, so I would have some rich man tell how he made a million in real estate. I would get prominent bankers and presidents of various corporations to tell the stories of how they battled their ways up from the ranks to power and wealth.

Shortly after that, Siddall was made editor. The magazine then had a small circulation. Siddall did just what he said he would do. The response? It was overwhelming. The circulation figures climbed up to two hundred thousand, three, four, half a million.  Here was something the public wanted. Soon a million people a month were buying it, then a million and a half, finally two million. It did not stop there, but continued to grow for many years. Siddall appealed to the self interests of his readers.

Want to make something that people want? Make something that appeals to their self interests.