hi fediverse, I just posted transcripts of a few talks and lectures I've given over the past few years, mostly concerning the connections between machine learning, language and poetry: https://posts.decontextualize.com
(notes and summaries in individual posts below)
"Desire (under)lines: Notes toward a queer phenomenology of spell check" asserts that spell check is a "straightening device" (following Sara Ahmed's use of that term) that attempts to curb spelling's material, expressive, and sensual qualities. Includes a fun proto-Indo-European etymology aside https://posts.decontextualize.com/queer-in-ai-20
(originally prepared for the EACL 2021 Queer in AI Social)
"Language models can only write poetry" is an attempt to categorize the outputs of language models (from Tzara's newspaper cutups to Markov chains to GPT-3) using speech act theory. Touches on the immersive fallacy, Jhave's ReRites, Janelle Shane's AI Weirdness, Kristeva, etc. https://posts.decontextualize.com/language-model
(excerpted from my Vector Institute / BMOLab "distinguished lecture")
@aparrish these are great! as an aside, following up on one of the references in this, do you know when people started refering to bigram (etc) models as "markov chains"? hayes' scientific american article doesn't use the term (he says "eddington monkey", which I much prefer)
@mewo2 that is a really good question and I don't know! Cramer in _Words Made Flesh_ dates it back to Theo Lutz?
@aparrish @mewo2 This 1961 paper is the earliest relevant reference I can find. This biography of the author, Hockett, claims that he was the person who pioneered application of Markov chains to language and grammar in 1955:
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