Algorithm, Architecture, Art, Automata, Biological Computation, Chaos, Code, Cybernetics, Drawing machine, History, Interface, Kinetic, Light, Logic, Maker, Man/Machine, Mathematics, Neural Networks, PDF, Social intelligence, Society, Tactical Media

Cybernetic Serendipity the Computer and the Arts – (1968)

Exhibition catalogue. Edited by Jasia Reichardt (Studio International Special Issue, London. 1968)

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Anthropology, Art, Capitalism, Chaos, Commons, Economy, Education, Ethics, Media, PDF, Recycling, Society, Tactical Media

Materiality of Information Technology and Electronic Waste

‘The digital realm is an avant-garde to the extent that it is driven by perpetual innovation and perpetual destruction. The built-in obsolescence of digital culture, the endless trashing of last year’s model, the spendthrift throwing away of batteries and mobile phones and monitors and mice . . . and all the heavy metals, all the toxins, sent off to some god-forsaken Chinese recycling village . . . that is the digital avant- garde’ (Cubitt, non-dated)

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Architecture, Art, Automata, Chaos, Drawing machine, Kinetic, Maker, Man/Machine, Sound

Jean Tinguely Art Machines, 1959.

“His best-known work, a self-destroying sculpture titled Homage to New York (1960), only partially self-destructed at the Museum of Modern Art, New York City, although his later work, Study for an End of the World No. 2 (1962), detonated successfully in front of an audience gathered in the desert outside Las Vegas.”

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Algorithm, Art, Astrology, Automata, Biology, Chaos, DIY, Maker, Man/Machine, Mathematics, Nature

Owen Schuh

“Owen Schuh uses mathematical procedures, sometimes with the aid of a calculator as well as bespoke drawing machines, to generate emergent drawings which evoke computational and natural system visualisations. One of the key aspects of Owen’s work is the use of simple formulae, iteratively, to direct the growth of complex structures – local calculations give rise to autonomous and unexpected global configurations.”

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Algorithm, Art, Biometrics, Brain, Chaos, Interface, Man/Machine, Mathematics, Music, Neural Networks, Robots, Science, Sound

Post-Human Musics

“Might they not, too, be interested in music? After all, they will have unfettered access to the cultural products of the human world, and they will share DNA—the same hardware, languages, and algorithms—with electronic music. They will have networked relationships with devices and systems capable of generating sound. Freed from the limitations of the fallible human body, they will certainly be capable of playing expertly, although it’s more plausible they won’t need to play at all. It used to take a laser, a magnet, or a needle to reproduce sound. Now all it takes is code.”

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