I’m sort of a QR code anti-hipster: I was into them before they were uncool. I actually think they’re a really nifty encoding that’s easy to read and write with the right tools, and useful for a handful of situations. But they’re so widely misused in marketing that most people never get to see one used properly.
I’ve been thinking a lot about two different kinds of tokens lately. One is a fare token, which I’ve been thinking about as it relates to public transit and locational privacy. Another is a currency token, which has come up in the last few weeks as I’m reading Debt by David Graeber. Obviously there’s some overlap there, but thinking about the ways in which they differ has been really interesting, and there’s enough weird history of each to fill a Thomas Pynchon novel.
I’m a sucker for stories that are tied to places I know. When I first read Cory Doctorow’s Little Brother, I was only glancingly familiar with most of the Bay Area settings for the different scenes. Now I spend time every day in the Mission, where most of the action takes place, and have a much better feel for the character of the location.
It’s hard to ignore successes in middleman elimination like Radiohead’s In Rainbows, NiN’s Ghosts I-IV, Louis C.K.’s Shameless and the Double Fine Adventure. But they’re not immune to criticism either. Sure, it works for them — the argument goes — but they’re already famous. And the legacy players have always served (at least) two roles; while the Internet may beat them for distribution, it’s not as good for discovery.
A few weeks ago, I wrote about Paul Carr’s accusation of hypocrisy within the tech community for opposing bad copyright legislation and then also speaking out against plagiarism. His take was wrong, but it wasn’t unusual; it’s all too common for supporters of wrongheaded copyright legislation (like SOPA, PIPA and two decades of more successful proposals) to settle on a characterization of their opponents and then cry foul when those characterizations are not consistent with reality. It’s an example of confirmation bias: favoring information that supports a hypothesis and discarding (or dismissing as hypocritical) information that doesn’t.
I recently re-installed Ubuntu on my home computer, and wanted to move my office Mac’s Adium OTR key and collected fingerprints over to the new install. I had some trouble, but got it eventually, so I wanted to document the process.