Jane A.
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jane-in-progress.bsky.social
Jane A.
@jane-in-progress.bsky.social
3.7K followers 2.1K following 1.7K posts
Feminist, atheist, immigrant, European, graphic designer, content creator, well-informed, mostly harmless. Pro-equality, pro-facts, pro-compassion. Anti-fascist, anti-extinction. Woke AF.

Blueskyer since Oct 23 | #FBPE | NO DMS!

Ex-X: @jane_inprogress
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Reposted by Jane A.
irisvanrooij.bsky.social
Narrator: Some people want to solve this issue by not expecting basic scholarly standards from students anymore either

/s

bsky.app/profile/oliv...
olivia.science Olivia Guest · Ολίβια Γκεστ @olivia.science · Sep 6
Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n
Abstract: Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously toa) counter the technology industry’s marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues. Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI (black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf. Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al. 2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA). Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe. Protecting the Ecosystem of Human Knowledge: Five Principles
October 11, 2025 at 8:46 AM
Reposted by Jane A.
freeprincessluigi.bsky.social
oh I'm sure there's an explanation, they just haven't pulled it out of their ass yet. they'll give it to us the next press conference and everyone will move on like they aren't lying to our faces lol.
December 20, 2025 at 9:49 PM
jane-in-progress.bsky.social
It's amazing that none of these men (of course the respondents are men) have ever encountered a goose. All city boys perhaps?
December 20, 2025 at 9:46 AM
jane-in-progress.bsky.social
Mein Kampf reads like a Trump rally speech. It's not even coherent in some places.

I guess this shit has always worked on a certain group of (mostly uneducated, always unpleasant) people.
December 20, 2025 at 9:24 AM