there's a joke about the authors of the paper being good autoencoders here somewhere
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okay now they're explaining data science and machine learning 101 the explanation passes my sniff test, looks like they aren't talking out of their asses actually a pretty good explanation, i highly recommend reading it if you want to know the super basics of how ml algos work
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lots of "hey are you even allowed to make mathematical abstractions of real world things? turns out: yes" i repeat: this is a good intro to data science stuff for non-data science people
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so one big thing autoencoders do is dimensional reduction this means they draw out the most salient features of a type of thing, and what best differentiates examples from each other in order to understand an aesthetic, one must do a dim. red. on it
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an aesthetic is some scheme of understanding such that a certain type of thing becomes very easy to describe you can "train" an aesthetic on just the canon and it'll work just as well as training it on the whole thing
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okay there's a bunch of stuff on modernism I lack the context to understand just gonna skim past this
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"ambient mood" is the sort of vibe or aesthetic or worldview a work embodies they're fake understandings of reality (standard map/territory stuff here) they can't be talked about directly, they're illegible and exist only as abstract patterns of sense-data
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Aesthetics have vocabularies, and these are what the autoencoders find
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multiple items sharing an aesthetic makes it easy to compare them, because you can do it using the terms of the aesthetic i.e. you already ran the dimensional reduction, so you know the important variables immediately
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we can define an aesthetic as a small number of transformations, that allow you to turn one item into another, with the set of things that can be created with these transformations being in the aesthetic
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ian hines Retweeted ian hines
okay thats all i got from reading this going to add "can read arcane academic papers" to the list of things i brag abouthttps://twitter.com/imhinesmi/status/1225907259219337219 …
ian hines added,
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