One of the really amazing things about Tracery is that I made it when I had just learned Javascript. It managed to be like, mostly bug-free. But because it’s a very small library and it doesn’t do anything terribly complex, it ended up being able to run largely without me. And so it spawned this massive community that is completely distributed.
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For any artists that are working in this field now, if I was good at painting I’d probably be looking at how to find styles that work well with these kind of representations and make them easily automatable or transferable so that if I had fans as an artist they could say, “Hey, I would like to have a picture of my cat painted.”
I’ve made it my goal as a computer poet not to imitate existing poetry but to find new ways for poetry to exist. So what I’m going to do in this talk is take this metaphor of exploring literature to its logical conclusion.
But most interesting was just going bonkers with this data in “gonzo mode” and incorporating as much as possible: Viral Plague Sci-Fi Movies Based on Children’s Books Set in Europe for Ages 8 to 10; or First Love Slice of Life Musicals Set in Europe From the 19820s For Hopeless Romantics; Bounty-Hunter Fantasy Movies Based on Books About Cats.
I guess the two questions that I ask myself when I’m making a bot are what resources and corpora should I use, and how can I manipulate this in interesting ways to come up with tweets that are more signal than noise. A lot of the time it’s actually really hard to generate language that is signal and not noise. And I aim to get a lot of signal in my bots.