Really impressive result: using generative adverserial networks to increase the resolution of videos!
Abstract: https://ge.in.tum.de/publications/2019-tecogan-chu/
Video: https://www.youtube.com/watch?v=pZXFXtfd-Ak
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I've been compilation buffers in Emacs recently and I really appreciate the error and warning counts shown in the modeline.
I've added the equivalent feature to deadgrep: it shows result counts! Really useful when you're doing big refactorings.
https://github.com/Wilfred/deadgrep
"Example Driven Development" using Glamorous and Pharo Smalltalk: https://medium.com/feenk/an-example-of-example-driven-development-4dea0d995920
Tests returning values and composing is a really interesting model. It establishes structure and shows which test failure is the most 'fundamental'.
Exploring design ideas using AI as a learning assistant, for creative exploration: https://andymatuschak.org/hmwl/