
Back to the ASCII experiments.

Textflix uses movie reviews to show how machine learning can unlock the data embedded in large amounts of unstructured text.
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Why binary explained with a pizza metaphor by @sailorhg in how do calculators even.

Matthew Rayfield World
From: http://matthewrayfield.com/ via https://twitter.com/hoverstates/status/1152228672251879424

"Here, new writing systems are created by challenging two neural networks to communicate information via images." By Joel Simon.

Font character density broken up into four regions (top-left, top-right, bottom-left, bottom-right). Going to see if this gets me better ASCII art results.

Open syllabus galaxy: most assigned texts embedded with UMAP.
From: https://galaxy.opensyllabus.org/ via https://twitter.com/clured/status/1151170745567010816

Peter Dreher has "painted the same glass more than 2,500 times at night and more than 2,500 times during the daytime" since 1974.
From: https://en.wikipedia.org/wiki/Peter_Dreher#Tag_um_Tag_guter_Tag_/_Day_by_Day_good_Day via https://mobile.twitter.com/tophtucker/status/1150517103298011139

Text portraits: ASCII art generated from an image using only the characters from the text box.

Experiments in using description text as source characters for ASCII art.

Sort font characters by percent of black pixels.
From: https://observablehq.com/@grantcuster/sort-font-characters-by-percent-of-black-pixels