kitan.moe
witches & elves fan, sharing things I like
(all of them, please don't expect a common theme)
learning how to make computer do things
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Seems like a lot of cool ones from 2020 onwards that I haven't gotten around to watching yet. 2018 spike because a friend got me to watch quire a bit during school recess
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yep, here's some details on how it works (was disabled last week due to GDPR regulations and the like finding out)
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I hate that you are right. Still don't vibe with GitHub's UI though. Plus I like putting **all** my things into one place. Might be weird to put a shopping list next to my work items, but I forget less stuff that way. Would be cool if text files could sync with a calendar to do stuff daily/weekly.
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like, why is this old to do app from 2013 has the ONE FEATURE (infinite nesting) that ALL OTHER MOBILE APPS DON'T HAVE????
projects need structures, not a flat list with tags and pretty headers!
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I think it's a good rule of thumb to not go too deep into research, lest I be unproductive:
An artifact of my new knowledge, maybe just a written note, would be a good anchor to move on from, and return to when free time permits.
So yeah I guess conclusion is take notes of what you like in life
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Example:
- Typography (~1 mo) : I end up having a font collection that I like and would use everywhere
- Programming Languages (~2 mo): I conclude there is no perfect one, but learned many concepts I prefer.
- Learning to Code(~2w, 5 papers): I ended up drafting my own syllabus/checklist...
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I get reminded of this gem of a blog post from last year:
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vtuber music that could have done numbers in the 90s
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So overhead is either reduced by exposure/familiarity over time or low by default (intuitive) and I think it's a good idea to distinguish one from another. What is intuitive at first try, and what am I merely just used to over time? Reflecting on it might help me improve the environment I work in...
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Flatness has been around for a long time, we are just used to it, so the incentive to copy other platforms/tools/products/etc is high, as you get the familiar factor for free that way.
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Really good for writing too (here is a sample in my notes app, Obsidian):
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apparently "problem decomposition" is so badly defined that the only source that does it that I can find is a paper from 2019 (pretty new)
we really do base ourselves heavily on assumptions that everyone knows it to begin with...