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Cake day: June 21st, 2023

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  • It’s not so much that they don’t give a damn, but that they can’t tell. I taught some basic English courses with a research component (most students in their first college semester), and I’d drag them to the library each semester for a boring day on how to generate topics, how to discern scholarly sources, then use databases like EBSCO or JSTOR to find articles to support arguments in the essays they’d be writing for the next couple years. Inevitably, I’d get back papers with so-and-so’s blog cited, PraegerU, Wikipedia, or Google’s own search results. Here’s where a lot of the problem lies: discerning sources, and knowing how to use syntax in searches, which is itself becoming irrelevant on Google etc. but NOT academic databases. So why take the time to give the “and” and “or” and “after: 1980” and “type: peer-reviewed” when you can just write a natural-language question into a search engine and get an answer right away that seems legit in the snippet? I’d argue the tech is the problem because it encourages a certain type of inquiry and quick answers that are plausible, but more often than not, lacking in any credibility.
















  • There’s a NYT article somewhere, and I’ve been desperately trying to find it, about a woman who worked as some kind of real estate(?) call center AI augmenter. Essentially people would call in about listings or something, and she had to step in when the AI went off the tracks or didn’t know how to answer questions, matching its tone/inflection while refusing to acknowledge that there was a human stepping in. She ended up being super burnt out from the job. So the whole system was just super redundant, awful for the people working there, and as we’ve come to expect from AI, just a half-baked turd sold to some MBAs for a mint.

    Edit: it was a n+1 piece, thanks @Tikiporch@lemmy.world