Hard Drives, Not Telescopes

[Image: Via @CrookedCosmos].

More or less following on from the previous post, @CrookedCosmos is a Twitter bot programed by Zach Whalen, based on an idea by Adam Ferriss, that digitally manipulates astronomical photography.

It describes itself as “pixel sorting the cosmos”: skipping image by image through the heavens and leaving behind its own idiosyncratic scratches, context-aware blurs, stutters, and displacements.

[Image: Via @CrookedCosmos].

While the results are frequently quite gorgeous, suggesting some sort of strange, machine-filtered view of the cosmos, the irony is that, in many ways, @CrookedCosmos is simply returning to an earlier state in the data.

After all, so-called “images” of exotic celestial phenomena often come to Earth not in the form of polished, full-color imagery, ready for framing, but as low-res numerical sets that require often quite drastic cosmetic manipulation. Only then, after extensive processing, do they become legible—or, we might say, art-historically recognizable as “photography.”

Consider, for example, what the data really look like when astronomers discover an exoplanet: an almost Cubist-level of abstraction, constructed from rough areas of light and shadow, has to be dramatically cleaned up to yield any evidence that a “planet” might really be depicted. Prior to that act of visual interpretation, these alien worlds “only show up in data as tiny blips.”

In fact, it seems somewhat justifiable to say that exoplanets are not discovered by astronomers at all; they are discovered by computer scientists peering deep into data, not into space.

[Image: Via @CrookedCosmos].

Deliberately or not, then, @CrookedCosmos seems to take us back one step, to when the data are still incompletely sorted. In producing artistically manipulated images, it implies a more accurate glimpse of how machines truly see.

(Spotted via Martin Isaac. Earlier on BLDGBLOG: We don’t have an algorithm for this.”)

Glitch City

oil[Images: Via Wired UK].

Sites of urban infrastructure and other industrial facilities integral to municipal management, from fire stations to fuel depots, appear to be the target of deliberate erasure in Baidu’s street maps.

As photographer Jonathan Browning—who noticed odd moments of incomplete blurring, cloning, and other visual camouflage a few years ago—explains to Wired, “I don’t know who does it, if it’s an algorithm that gets GPS co-ordinates for each place and then somehow wipes it, or if an actual person goes to each one and cleans it with Photoshop.”

Either way, he adds, “It would be great to meet these people and see what they think about it. If they wanted to do it, why didn’t they do it properly?”

oil[Images: Via Wired UK].

The effects are, in their own way, actually quite interesting, as if some sort of representational glitch has slipped into the world by way of sites of Chinese infrastructure—a scrambling algorithm crawling out of the depths of digital compression to target all these marginal, back-stage spaces that help a 21st-century city operate.

A wildly applied cloning tool in the top set of images for example, actually creates what appear to be reeds, an emergent landscape of the New Aesthetic breaking through the cracks between pixels.

Read more over at Wired UK.

(Spotted via @samanthaculp and @larsonchristina. Vaguely related: The Hit List).