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To pick a slightly self-interested example: most ML researchers would (currently) rather have a NIPS paper than a distill paper, even though the latter is a much more interesting medium. Why? The former has a better chance (at present) of getting you a job
This can and does change, but usually very slowly. One of the cleverest things done in establishing the preprint arXiv was to recruit leading physicists like Andy Strominger and Ed Witten to contribute in the first few days. Wham! Brand established.
Great points. I was talking from a fuzzier perspective. Distill represents one shift where more time and effort goes into a paper, but going in the reverse direction and embracing more casual mediums also seems interesting
For a lot of "learning in public" as @nayafia put it, there aren't expectations about the medium you use in the first place. People can pick between blog posts, tweets, emphasizing visuals, switching up tone, playing w/ how data-oriented vs argument oriented their writing is, etc
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