Mad Men photoshop disaster by Rolling Stone Mad Men Stars Get Botched Rolling Stone Photoshop Job
Mad Men photoshop disaster by Rolling Stone Mad Men Stars Get Botched Rolling Stone Photoshop Job
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Oh. My. God. Macro Photography of Human Eyes
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Ricardo Morales: If you keep going over the past, you’re going to end up with a thousand pasts and no future.
Watched Juan José Campanella’s excellent - The Secret In Their Eyes (El Secreto De Sus Ojos) today at Curzon Soho. Eminently watchable, although the film has its flaws.

Google simply dwarfs all other web sites. It is amazing when you see the picture. And there aren’t that many web sites that rise above the crowd, at all. This poster shows The 300,000 Biggest Websites, Visualized With Their Icons where the size of the icon indicates the reach of the site. Another example of visual data giving instant information.
http://cache.gawkerassets.com/assets/images/4/2010/08/500x_screen_shot_2010-08-24_at_10.58.17_am.jpg
Listening to the awesome Blues for Red Sun today (not for the faint hearted). I miss the gorgeous chaos of Kyuss.
Incredible. I love INRIA.
Back in 1999, when I was a research intern in VRLAB-EPFL, I visited a friend in INRIA who was working on a AI algorithm that was inspired by ant pheromone behavior. EPFL itself already was experimenting with virtual boxing, that allowed control of a 3D avatar through sensors plugged at critical points in human body.
I have been watching Lars von Trier’s Riget (The Kingdom). Insane and compelling.
dataisnature.com » Flickr Fruits #35 [Mapping & Topography]
“Eric Fischer’s Geotaggers’ World Atlas set contains a serious of maps derived from photographers timestamps and geotags found on Flickr. The data has been used to calculate the speed at which the photographers were travelling and plotted on OpenStreetMap. In all there are 50 cities covered, each with density paths indicating the most navigated and photographed areas. Can the Geotaggers’ World Atlas be interpreted as map of tourism and sightseeing? The Locals and Tourist set goes some way to answering this question.”
“Mirror, Mirror, On The Wall…”
I have been wanting to play with Processing canvases that reflect one’s social state on the web, and I finally got around to it.
Above is a screen grab of my Processing canvas - the logic is simple - Dip into the twitter streaming api, if there is any occurrence of my twitter identity, then reveal more.
The revelation of the image (my own) is done through a simple algorithm - start from a single origin, and fork out slowly based on rate of twitter references.
The canvas, therefore, reveals the number of times a certain person is referred, and works best for twitter celebs.
I am still tweaking the visual style, and the underlying logic, but the framework already allows me to play with quite a few things…
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