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:

• Cloaca
http://gizmodo.com/5145287/cloaca-no5-is-a-monster-pooping-machine

• Minecraft as a canvas
http://ludolik.deviantart.com/

• Mapvertisements
http://lenpenzo.com/blog/id15798-giant-advertisements-that-can-be-seen-from-high-in-the-sky.html

• LOL CODE
http://lolcode.com/

• “Why by realistic?”
http://blog.mutewatch.com/2011/07/07/why-be-realistic/

• Pencil balancing robot
http://blog.makezine.com/2011/01/20/pencil-balancing-robot/

• Cat organ
http://en.wikipedia.org/wiki/Cat_organ

• David Byrne – Playing the Building
http://www.youtube.com/watch?v=0pFvOphr9MA

• Supernova Sonata
http://vimeo.com/23927216

• Linux.fm
http://www.linux.fm/

• Singletone hashtags

• Nano guitar
http://www.news.cornell.edu/releases/july97/guitar.ltb.html

• Nano smiley face
http://nanotechweb.org/cws/article/tech/24445

• Rat brains robot
http://www.youtube.com/watch?v=1QPiF4-iu6g

• Instagram ride

• Skype family portraits
http://www.nytimes.com/interactive/2012/06/03/magazine/skype-portraits.html

• Screenshots

• Twitter weather report
http://twitter.com/drnic/status/261547325284028416

• Front-facing camera mirror

• JSNES
http://fir.sh/projects/jsnes/

• Music with machines
http://www.makeuseof.com/tag/making-music-tech-hardware-8-great-youtube-videos/

• Raspberry Pi supercomputer
http://www.engadget.com/2012/09/13/supercomputer-built-from-raspberry-pi-and-lego/

• The Johnny Cash Project
http://www.thejohnnycashproject.com/

• Speaking Piano
http://createdigitalmusic.com/2009/10/the-speaking-piano-and-transforming-audio-to-midi/

• Paintings for satellites
http://www.kickstarter.com/projects/1145342167/paintings-for-satellites

• MS Paintings
http://www.labnol.org/software/ms-paint-tips/9305/

• CSS iPhone
http://codepen.io/dylnhdsn/pen/iphone

• ASCII Star Wars
http://www.asciimation.co.nz/

December 8, 2012 Waving At The Machines

station_map_banner

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.

 

 

To design this map I created a JavaScript tool that divides a space into regions that each contain a single point. Make your own neighborhoods. (Tested in Chrome)

November 15, 2012 Waving At The Machines

sandy_satellite

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.

November 5, 2012 Waving At The Machines

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).

October 11, 2012 Waving At The Machines

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.

September 27, 2012 Waving At The Machines

how_machines_see

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.

September 20, 2012 Waving At The Machines