“Art Post-Internet” was an exhibition curated by Karen Archey and Robin Peckham for the Ullens Center for Contemporary Art in Beijing in spring 2014. This is the specially designed pdf catalogue whose with the front page is created each time with the IP and quite approximated location of the user. It includes tentatively definition of “post-internet” by Cory Arcangel, Simon Denny, and Bunny Rogers, art critics Ben Davis and Paddy Johnson, academics Mark Tribe and Esther Choi, and museum professionals Christiane Paul, Raffael Dörig, Jamillah James, Ben Vickers, Omar Kholeif and Gene McHugh.
Casey Reas is one of the few digital artists that are both technically and theoretically talented. In the media space his works of art are more often than not taken over by his status of Processing language co-creator with Ben Fry. That’s wrong and it means to miss an essential part of its work. But being a programming language creator means to work for a community, abstracting problems and implementing then tools for creative solutions. That’s why this is a unique book. It’s not a technical manual and it’s not a speculative essay, nor an anthology of texts. It’s all of the above forming a harmonious whole. Processing is explained through a ‘learning by doing’ approach, with extremely focused code examples, extensively explained, always triggering the reader to then start to play with the code himself. Some ‘synthesis’ sections are giving something to think about, bringing in visual artworks (both historical and new), experiments or techniques that would inspire the reader to go on with the just finished code session. The ‘synthesis’ are usually followed by short interviews with the same five questions that result in a collection of ideas sparked by different very interesting working paths. The dichotomy between the technical and the artist personal vision here is simply dissolved. Finally, a digital artist can start to check and see how code is used and for which reason, being triggered to develop his own work and having the chance to be inspired by more experienced colleagues or other important related data, all in a single reading space.