Learning to dialogue with AI

I remember one evening in 1990 when I successfully downloaded an entire issue of Crisis Magazine from the Twenties to a 3.5 inch floppy disk. It took some time for the original images, poetry, stories, and essays to come to me over a network of university computers that was part of the Internet. This was before the World Wide Web would make something like this even easier to access, but I sensed that something had radically and structurally changed in my entertainment and information cosmos. As I perused the prize that appeared on my computer, I yelled to my wife, “Get rid of the T.V. We don’t need it anymore!”

Recently, while watching the U.S. Open on T.V., I remembered my epiphany from thirty-two years ago because I was in the middle of another one that seemed  to be of a similar  magnitude. After reading a few articles about AI, and in particular, the recent ease of accessing text-to-image generators, I decided to keep one eye on the tennis match and the other on my phone. It was pretty easy to begin experimenting with the Stable Diffusion Demo. “Stable Diffusion is a state of the art text-to-image model that generates images from text.”



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Youth Voices is an open publishing and social networking platform for youth. The site is organized by teachers with support from the National Writing Project. Opinions expressed by writers are their own.  See more About Youth VoicesTerms of ServicePrivacy Policy.All work on Youth Voices is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License


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