“Computational thinking is a way humans solve problems; it is not trying to get humans to think like computers. Computers are dull and boring; humans are clever and imaginative.” — Jeannette M. Wing (2006) h/t @olivia.science dl.acm.org/doi/10.1145/...

“Het is makkelijk om te denken dat je psychologische experimenten kunt doen met kunstmatige deelnemers, maar je kunt wetenschap simpelweg niet automatiseren.”

Racistische reacties op Oranje-spelers laten zien waarom Keti Koti voor ons allen relevant is. Vrijheid is meer dan afwezigheid van ketenen. Niemand mag vanwege afkomst of huidskleur minder worden gemaakt. De erfenis van koloniaal denken is niet verdwenen. #KetiKoti

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A post on the disruptive effects AI is having on knowledge. Reliable information is drowning under the deluge of AL slop. I cited blogs by @irisvanrooij.bsky.social & @mikecaulfield.bsky.social. Iris, they change my title and it is now closer to yours. 1/ www.psychologytoday.com/us/blog/ment...

“Een van de gevolgen van de AI-hype is dat iedereen plots een expert lijkt, terwijl echte vakinhoudelijke experts genegeerd worden.” — @irisvanrooij.bsky.social

“Het is makkelijk om te denken dat je psychologische experimenten kunt doen met kunstmatige deelnemers, maar je kunt wetenschap simpelweg niet automatiseren.”

“Deze systemen zijn gebaseerd op voorspellen, dat is geen basis voor daadwerkelijk nieuwe theorieën. Alleen omdat een AI-systeem kan voorspellen wat een mens zou zeggen of doen, betekent dat nog niet dat het kan verklaren wat mensen doen.” — @olivia.science

“(…) wetenschap draait om het produceren van kennis. Daarom is het zo belangrijk om te benadrukken dat AI menselijke cognitie nooit op een zinvolle manier kan repliceren.” — @olivia.science

yes, see my work here with @irisvanrooij.bsky.social bsky.app/profile/oliv...

My cats Mushu and Tahini are curious who's in the newspaper. It's me! 😊 together with Robin Pocornie, I explain why criminal risk profiling should be BANNED.

Sooo from a computationalist viewpoint, there's computational thinking¹ (thinking like a computer scientist) and there's non-computational thinking which is actually also computational² (a form of computation/can be understood as such)?

My heart is full of hope because teaching and learning critical AI literacy with participants was and is an act of resistance in this political context.

Last week was both intense in teaching and full of hope. Participants of the Summer School: “Critical AI literacy for resisting and reclaiming” presented their group projects to resist and reclaim AI.

Surprise!

Cursussen van Radboud in’to Languages om te leren schrijven met chatbots voldoen niet aan academische standaarden en ondermijnen het werk van wetenschappers, vinden een hoogleraar en een universitair hoofddocent Artificiële Intelligentie. (1/2)

AI zal nooit een volwaardige vervanging zijn voor het menselijk denken: @olivia.science @irisvanrooij.bsky.social @dondersinst.bsky.social www.beste-id.nl/nieuws/ai-za...

Thank you to all participants and team for collectively reclaiming critical thinking @olivia.science, @irisvanrooij.bsky.social, @altibel.bsky.social, @joostvossers.bsky.social

I even like to do that with teachers. When teachers learn that many edtech products sold to them are just a bunch of LLM queries stacked on top in a trenchcoat - that seems to be a quite enlightening and empowering experience.

Clear points about why AI-generated summaries are problematic despite claims by some that they're supposedly less problematic than other genAI use. Can I summarize this long text for you? NOPE, NOPE, NOPE

This is great! Gonna be included in my contract around AI use that I start my teaching block with! Thank you! 🙏

Tired of AI hype posts? You might like my sober assessment of whether AI-generated summaries are suitable for studying and research. Spoiler alert, they are not. The text is primarily aimed at students and researchers, but has much broader relevance. So share freely!: www.tue.nl/en/our-unive...

“We must protect and cultivate the ecosystem of human knowledge. AI models can mimic the appearance of scholarly work, but they are (by construction) unconcerned with truth — the result is a torrential outpouring of unchecked but convincing-sounding “information”. — as quoted in Guest et al. (2026)

“We should expose pre-college students to computational [thinking. W]e should look to inspire the public’s interest in the intellectual adventure of the field. We’ll thus spread the joy, awe, and power of computer science, aiming to make computational thinking commonplace” — Jeannette M. Wing (2006)

👏 Great tip from @e-mondragon.bsky.social for replyguys: learn to behave, "no peeing in other people's gardens"

These kinds of men will never change. They are soooo predictable and dead boring! Bah!

We told you so! Het zou fijn zijn als mensen eens een boek of long-read over platform lock-in zouden lezen. Het is niet alsof dit de eerste keer is...

Press release: www.ru.nl/en/research/...

Published version now available in Current Directions in Psychological Science: journals.sagepub.com/doi/10.1177/...

THIS 100%!!!! Even if it's just for shits and giggles, it is so much fun to learn, do, and build something yourself :) one of my favorite projects in undergrad was a mobile app I created that would create awful playlists for given occasion (e.g., classical music at a dance function)

Stop with the “vibe coding” and start doing some algorithm design, foundations of computing, and computational complexity analyses. Even just doing playful computer science unplugged is better than all the current hyped non-sense. www.csunplugged.org/en/

“Computational thinking is a way humans solve problems; it is not trying to get humans to think like computers. Computers are dull and boring; humans are clever and imaginative.” — Jeannette M. Wing (2006) h/t @olivia.science dl.acm.org/doi/10.1145/...

I would like *one* (1) university to push back and invest money in its educators instead but 🙃🙃🙃

especially related to underdetermination of theory by data, but not identical to, is multiple realisability — they are very closely related, for those into that kind of thing bsky.app/profile/iris...

We propose 4 different notions of ‘function’ and formalise each. 1. Functional capacity 2. Functional theory 3. Functional goal 4. Functional role --- Preprint: doi.org/10.5281/zeno... 4/🧵

that's why with @marentierra.bsky.social & @irisvanrooij.bsky.social we say "We refuse to be mired in terminological squabbles, so herein by AI we mean any displacement technology that is harmful to people, is obfuscatory of cognitive labour, and deskills" www.civicsoftechnology.org/blog/no-ai-g...

Unless one can tractably verify for all possible inputs, functional equivalence can only be established through mathematical proof

See also bsky.app/profile/oliv...

Too many people think they can establish functional equivalence empirically ...

See explanations in everything people have been asking you to... bsky.app/profile/oliv...

Using appearance to decide on similarity in a scientific context. Cornerstone ideology behind eugenics and physiognomy.

"embracing" always the same tired and trite expressions with these people

Ohhh I see, well not sure if this counts either but I remembered another person, and it's Evrim Gülbetekin! avesis.akdeniz.edu.tr/evrimg akdenizpsychlab.akdeniz.edu.tr/tr/laboratuv... She presented in a conference about AI I attended, it was mostly about what she and her students were working on

also mu.social/profile/iris...

Indeed. When will we finally learn: The purpose of a system is what it does. Displacement AI technologies' purpose IS to deskill people. We shouldn't expect anything different. These technologies are fascist projects. They do not serve us, only the ppl who use them to grab power. More info:

Listen everyone in 'the west', the haughty nations that surrendered sovereignty in return for riding the US' supremacist coattails; in a generation, perhaps less if this isn't stopped, your societies will be unable to manage the infrastructure built by 'boomers' etc because of a lack of knowledge

Destroying history is a feature not a bug

Critical look (taking apart the philosophical foundation of computationalism like a bawss): Maxine Sheets-Johnstone

Looking for women who, over the last 75 years, have worked at the foundations of computationalism in cognitive science. Any (non-usual suspects) recommendations for whose work to look into more?