I'm intrigued by the idea of deep learning systems 'hallucinating' high resolution images from low res. It makes sense: if it's a photo of known type (e.g. people, birds) you have a lot of additional data to interpolate intelligently.
miniblog.
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I've now worked on several systems where the JSON was so big that avoiding pretty-printing was a performance win!
Bevy has an amazing approach to code review that requires two reviews by the community before a maintainer will review and merge.
"We let anyone submit PRs without vetting: why is the bar higher for reviewing?"
https://shaping.systems/blog/open-code-review/
Igalia's post on self-hosting CI runners is a masterclass in build engineering. It shows dealing with weird API constraints, but still finding good designs.
I also learnt that some CI systems use OCR on Apple's installers to automate!
