I’ve posted the slides from by presentation in Waving at The Machines titled “The Odd Economy of The Machines.”
The talk is an attempt to highlight the complexity that’s inherent in our interactions with the Machines. Recognizing the layers of indirection that reveal themselves in these interactions often adds a strange value.
Here are the titles and any relevant links for the slides in the PDF:
• Minecraft as a canvas
• LOL CODE
• “Why by realistic?”
• Pencil balancing robot
• Cat organ
• David Byrne – Playing the Building
• Supernova Sonata
• Singletone hashtags
• Nano smiley face
• Rat brains robot
• Instagram ride
• Skype family portraits
• Twitter weather report
• Front-facing camera mirror
• Music with machines
• Raspberry Pi supercomputer
• The Johnny Cash Project
• Paintings for satellites
• MS Paintings
• CSS iPhone
• ASCII Star Wars
Ever been asked which subway stop you live by? This map redraws New York City neighborhoods according to the closest station. Let the naming begin.
Sandy was one of the most impactful physical events that the US has ever seen, yet my experience of it in NYC was largely a digital one. We weathered the storm in Williamsburg, Brooklyn and tracked its progress with our friends through a digital network of Facebook, Twitter, SMS, YouTube and other news outlets.
The relevance of these networks blossomed into something I’ve never experienced before, and yet as the storm passed the content quickly shifted back to Halloween costumes and the Presidential election as Sandy scrolled off the screen. To preserve a slice of that experience I created a timeline of Sandy-related activity from my personal network.
Full-screen that browser to replay #Sandy.
This audio was generated using the IP addresses between localhost and maps.google.com.
The second step takes the longest, which is from my local router to my ISP.
It sounds better with headphones, and even better if you run the script yourself (Mozilla Firefox is required).
You can clearly see the emotional tone of a programming language by the emoticons it contains. Objective-C: pensive and anxious. LISP: Romantic and possibly horny. Common LISP: cocky & kind of a dick.
Code samples taken from 99 Bottles of Beer.
When machines look into the world around them, they’re generally looking for 1 very specific thing. It might be a faces, or bar codes, or microscopic material imperfections. Everything else—the other 99.9% of what they see—is irrelevant. It’s null data.
How Machines See, created with Cinder.