RTFA: http://www.shirky.com/herecomeseverybody/2008/04/l…

So if you take Wikipedia as a kind of unit, all of Wikipedia, the whole project–every page, every edit, every talk page, every line of code, in every language that Wikipedia exists in–that represents something like the cumulation of 100 million hours of human thought. I worked this out with Martin Wattenberg at IBM; it’s a back-of-the-envelope calculation, but it’s the right order of magnitude, about 100 million hours of thought.

And television watching? Two hundred billion hours, in the U.S. alone, every year. Put another way, now that we have a unit, that’s 2,000 Wikipedia projects a year spent watching television. Or put still another way, in the U.S., we spend 100 million hours every weekend, just watching the ads. This is a pretty big surplus. People asking, “Where do they find the time?” when they’re looking at things like Wikipedia don’t understand how tiny that entire project is, as a carve-out of this asset that’s finally being dragged into what Tim calls an architecture of participation.

Nice numbers, and an astute observation.

RTFA: http://www.itnews.com.au/News/60752,storm-worm-bot…

The Storm worm botnet has grown so massive and far-reaching that it easily overpowers the world’s top supercomputers.

That’s the latest word from security researchers who are tracking the burgeoning network of Microsoft Windows machines that have been compromised by the virulent Storm worm, which has pounded the Internet non-stop for the past three months. Despite the wide ranging estimates as to the size of the botnet, researchers tend to agree that it’s one of the largest zombie grids they’ve ever seen — one capable of doing great damage. “In terms of power, the botnet utterly blows the supercomputers away,” said Matt Sergeant, chief anti-spam technologist with MessageLabs, in an interview. “If you add up all 500 of the top supercomputers, it blows them all away with just 2 million of its machines. It’s very frightening that criminals have access to that much computing power, but there’s not much we can do about it.”