TechSheep

technology for the sheeple

Archive for September 6th, 2009

He Works for The Times, Too - DAVID POGUE, the popular … (Clark Hoyt/New York Times)

Sunday, September 6th, 2009

Clark Hoyt / New York Times:
He Works for The Times, Too  —  DAVID POGUE, the popular technology columnist, is a high-energy, one-man multimedia conglomerate.  —  In addition to his weekly “State of the Art” column in The Times, and his blog and videos on the newspaper’s Web site, and his weekly e-mail newsletter … […]

Apple To Kill Off iPod Classic, Double Down On Touch, iPhone Developer Predicts (Dan Frommer/Silicon Alley Insider)

Sunday, September 6th, 2009

Dan Frommer / Silicon Alley Insider:
Apple To Kill Off iPod Classic, Double Down On Touch, iPhone Developer Predicts  —  Apple’s annual iPod/iTunes product event will take place this Wednesday in San Francisco.  In addition to announcing new iTunes features, Apple will almost certainly introduce an updated version of the iPod touch …

Technorati now hiring bloggers (and biting the hand that feeds them?) (Boris Veldhuijzen van Zanten/The Next …)

Sunday, September 6th, 2009

Boris Veldhuijzen van Zanten / The Next Web Blog:
Technorati now hiring bloggers (and biting the hand that feeds them?) … Technorati used to be the darling of the Blogging industry.  Unfortunately they have lost some of their shine in these past years with declining market share, bugs and downtime, and an unclear strategy for […]

Google UFO logo ‘mystery’ solved (Shane Richmond/blogs.telegraph.co.uk)

Sunday, September 6th, 2009

Shane Richmond / blogs.telegraph.co.uk:
Google UFO logo ‘mystery’ solved  —  The internet was apparently baffled yesterday when Google changed its logo to show a UFO abducting one of Google’s Os.  Our story on the “mystery” is currently our most-viewed technology story, with 220 comments.  —  While some of our readers are speculating …

The Anatomy of Determination (Paul Graham)

Sunday, September 6th, 2009

Paul Graham:
The Anatomy of Determination  —  Like all investors, we spend a lot of time trying to learn how to predict which startups will succeed.  We probably spend more time thinking about it than most, because we invest the earliest.  Prediction is usually all we have to rely on.