Boost plz!

Looking for critical scholarship on the use of "AI" by library/archive workers. University libraries in particular, but adjacent and tangentially-relevant-at-best stuff is welcome too. Any format is fine: books, papers, blogposts, whatever. If it's good, gimme all you've got!

Looks like we're gonna have a department-wide conversation about people using LLMs, and it's being framed as "we're all using it, but we're not talking about it, so let's make sure we're all on the same page about using it responsibly" ... I'll of course be pushing the "there's basically no way to use it responsibly" position, and I'd like to arm myself and others with some critical analyses of issues related to its use in library/archive spaces.

#llm #LLMs #ai #libraries #archives

It's clear that AI assisted coding is dividing developers (welcome to the culture wars!). I've seen a few blog posts now that talk about how some people just "love the craft", "delight in making something just right, like knitting", etc, as opposed to people who just "want to make it work". As if that explains the divide.

How about this, some people resent the notion of being a babysitter to a stochastic token machine, hastening their own cognitive decline. Some people resent paying rent to a handful of US companies, all coming directly out of the TESCREAL human extinction cult, to be able to write software. Some people resent the "worse is better" steady decline of software quality over the past two decades, now supercharged. Some people resent that the hegemonic computing ecosystem is entirely shaped by the logic of venture capital. Some people hate that the digital commons is walled off and sold back to us. Oh and I guess some people also don't like the thought of making coding several orders of magnitude more energy intensive during a climate emergency.

But sure, no, it's really because we mourn the loss of our hobby.

Wait.

If "The cloud is just someone else's computer"
is it "The claude is just someone else's work"?