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irmongoose

macrumors 68030
Original poster
Stephen Wolfram, via DF:

Mathematica has been a great success in very broadly handling all kinds of formal technical systems and knowledge.
But what about everything else? What about all other systematic knowledge? All the methods and models, and data, that exists?
Fifty years ago, when computers were young, people assumed that they’d quickly be able to handle all these kinds of things.
And that one would be able to ask a computer any factual question, and have it compute the answer.
But it didn’t work out that way. Computers have been able to do many remarkable and unexpected things. But not that.
I’d always thought, though, that eventually it should be possible. And a few years ago, I realized that I was finally in a position to try to do it.

It's called Wolfram|Alpha, and it's launching this May.

I guess it's about time we finally get the answer to life, the universe, and everything. In real life.



irmongoose
 
Thanks!

Can you tell I've read the Guide trilogy once or twice. OK, maybe 15 or 20 times. And listened to the radio series. :D

Seriously, I used to re-read the entire trilogy (all 5 books) once a year. I've been slacking the past couple of years, though.

Oooh, i'v never read the books. I should get on that
 
Oooh, i'v never read the books. I should get on that

I've only watched the movie once, just to say I had seen it. Of course, it is tough for me as a Douglas Adams fanboy to gripe about how different the movie is from the books. Every incarnation of the story has been different, on purpose. Adams wrote the radio series, the books, and the TV series, and they were all different from each other. They weren't just adaptations of the same thing.

If you like the Monty Python style of comedy, you should read the books, although the first three are by far the best. You may also want to check out his Dirk Gently books.
 
Got a lot of bioinformaticians and others watching keenly - some will be having access to demo v. soon.
 
Daves not here man

wolfram.jpg
 
Just think what this tool will be like in 30, 90, 365 days...

Now that there is a decent tool that can sift mountains of data, the truly brilliant can excel.

And I can watch! I have no illusions about where I am on the IQ scale when I see the kinds of things real scientists can do.

BUT! How many scientists get paid to rebuild OS X on a PowerMac after it's donated to a museum? Huh? Well? That's what I thought.

:)
 
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