@trashhaiku and @pythiabot

I’ve been a bit obsessed over machine-made art, not art that machines help to make, but machines learning how to make art. I’m currently very much in love with Ross Goodwin’s work in this field(see: Adventures in Narrated Reality, Part 1) . A bunch of monkeys in a room typing may eventually produce the complete works of Shakespeare, but a bunch of robots being trained to deconstruct the linguistics of poetry and create new work…that’s already here, and it is far more interesting.

(Goodwin’s work is┬ámuch more compelling, but here is the inevitable link to a shitty robot-written Christmas carol.)

Sadly, my first entry into this field is as someone who can’t quite code well enough to parse language, so I am currently dependent on the sheer flukes of phrase randomization. @PythiaBot is a fortune telling bot, seeded with a series of odd phrases that are all syntax compatible. It is a bit repetitive, but it has generated some surprisingly lovely sentences.

@trashhaiku is vaguely political art – it remixes Donald Trump’s incoherent twitter feed into similar incoherent haiku. It is currently hand fed, by me reading the original twitter feed to find phrases that match(more or less) a syllable count. I have to admit that I am not sure I understood what “suffer for your art” meant, but I do now.

Both are built on Zach Whalen’s Google Spreadsheet twitter bot code, which is remarkably simple to follow.

How to make a Twitter Bot with Google Spreadsheets (version 0.4)

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