saw this great writeup once on how somebody visualized data by drawing faces with them, and letting our brain’s natural face feature-extraction algorithms interpret the data. Kinda want to try to do that with some of these samples and waveforms I’m curating. #halfbakedideas

more attempts at articulating the !sample_curation problem space today. #updates

updating my wiki index, so some pages are not going to be featured there anymore: !MIDI_sucks !sample_curation !howyousay !sixtycolumnrule

GitHub - emina/rosette: The Rosette solver-aided host language, sample solver-aided DSLs, and demos https://github.com/emina/rosette

The Big Data Revolution Will Be Sampled: How ‘Big Data’ Has Come To Mean ‘Small Sampled Data’ https://www.forbes.com/sites/kalevleetaru/2019/02/17/the-big-data-revolution-will-be-sampled-how-big-data-has-come-to-mean-small-sampled-data/

The sample they chose to highlight here resembles the kind of paper a 14 year old would try & fail to bullshit after staying up all night partying right before the due date: https://blog.openai.com/better-language-models/#sample1

Bad idea of the day: Feed all those KMart recordings into sample-rnn and generate infinite automatic mallsoft