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Ray Becker

@raybecker.bsky.social

170 followers 160 following 80 posts

Computational corpus linguist, psychology of language enthusiast. Embodied/Enacted/Extendend/Embedded language > LLMs

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Olivia Guest · Ολίβια Γκεστ

@olivia.science

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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

September 25, 2025 at 11:47 AM

Ray Becker

@raybecker.bsky.social

These are great:
Kolers, P. A., & Roediger III, H. L. (1984). Procedures of mind. Journal of verbal learning and verbal behavior, 23(4), 425-449. www.sciencedirect.com/science/arti...
Glenberg, A. M. (1997). What memory is for. Behavioral and Brain Sciences, 20(1), 1–55. doi.org/10.1017/S014...

Procedures of mind

The prevailing metaphor for studies of learning and memory emphasizes the acquisition, storage, and retrieval of “information”; within this framework,…

www.sciencedirect.com

February 25, 2025 at 11:19 PM

Reposted by Ray Becker

Ioana Manolescu

@mioana.bsky.social

Also by Eko: "Meta and X gave the green light to AI-generated ads that called for the gassing of immigrants in concentration camps and the burning of synagogues ahead of Germany’s federal elections on Feb. 23" www.adweek.com/media/meta-a... X approved 10/10 ads. Facebook rejected 5 as "political"