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compcogsci.bsky.social
Account of the Computational Cognitive Science Lab at Donders Institute, Radboud University
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These are indeed the important questions we should be asking ourselves at this time of AI hype. Who benefits? Who makes money from the dominant narratives? Thank you @smittermeier.bsky.social !

Please consider who benefits from you becoming complacent, doing less critical thinking, less fact checking. Who benefits from devaluing yours and other people‘s labor. From your data.

✨ New paper from the lab! ✨

It's good that this (quite long thread) goes some way to deconstructing some of the blizzard of hype around consumer "AI" offerings. Can we have some more plain old "machine learning" stuff back that may actually work in domain specific contexts again and less slop, please?

I hope I never make anyone mad enough that they set out to rigorously, scientifically determine that I'm not only wrong, but that even in the absolute best case scenario for me, with the best possible conditions, I still could not be within the same time zone as right. 1/

I am seeing news that AI companies face “unexpected” obstacles in scaling up their AI systems. Not unexpected at all, of course. Completely predictable from the Ingenia theorem.

✨ New paper from the lab! ✨

New paper from the lab 💫 🫖 =/= 🖥️ =/= 🧠

Love this: "Those who do not take heed of these warnings are doomed to fractally if not frantically mix-and-match from incompatible ideologies" I think this could be an Iron Rule of design

NEW paper! 💭🖥️ “Combining Psychology with Artificial Intelligence: What could possibly go wrong?” — Brief review paper by @olivia.science & myself, highlighting traps to avoid when combining Psych with AI, and why this is so important. Check out our proposed way forward! 🌟💡 osf.io/preprints/ps...

Interesting! 🧐 (Connectionists should have stuck to learning and induction. 🤭) "If one believes that the brain and/or mind are a type of computer, then one cannot in good faith use reverse engineering of substances (as opposed to of computers) as a methodology."

New paper from the lab 💫 🫖 =/= 🖥️ =/= 🧠

I've felt for a while that a mainstream method, reverse engineering, in cognitive science & AI is incompatible w computationalism‼️ So I wrote "Modern Alchemy: Neurocognitive Reverse Engineering" w the wonderful Natalia S. & @irisvanrooij.bsky.social to elaborate: philsci-archive.pitt.edu/25289/ 1/n

✨ So proud of this special issue and deeply grateful for my wonderful co-editors, all contributions at the workshop by participants, and the amazing resulting papers in the special issue. Check it out! You will not be disappointed, I promise 😊

Finally our editorial for the "What makes a good theory?" special issue is out (co-edited with @irisvanrooij.bsky.social, @jcskewes.bsky.social, Sashank Varma, and Todd Wareham). It's an interdisciplinary issue and the contents are transdisciplinary. #philsci #metasci #cogsci #ai #psych 🧪

🎶 When the weather outside is frightful, and the theory so delightful - It's the Christmas edition of #ReproducibiliTea & we discuss @olivia.science's paper 'What makes a good theory and how do me make a theory good' while munching on Christmas cookies 😋🍪 Check it out: doi.org/10.1007/s421...

Now reading: "The whys and hows of theory—Comparing cognitive science and economics", by Patricia Rich (Computational Brain & Behavior, 2024). link.springer.com/article/10.1... 🧵1/n

The biggest honour is the students thinking I've done something useful to be honest. And being able to spend the prize money on/with them. 🥲

Much enjoyed @olivia.science ’s amazing talk about Cognitive Maps and ‘small cakes’. Link to the paper: philarchive.org/rec/GUEANR Check out the thread below for some highlights. Thank you @stevenmweisberg.com for organising this online event and the wonderful hosting!

Their own advisory committee told the Board of Radboud Uni to cut the ties with Tel Aviv Uni & Hebrew Uni bc of their direct contribution to the Israeli military. The Board decided to ask these two universities how to deal with the advice. I just can't anymore www.instagram.com/p/DI351eKoZm...

Tired but happy to say this is out w @andreaeyleen.bsky.social: Are Neurocognitive Representations 'Small Cakes'? philsci-archive.pitt.edu/24834/ We analyse cog neuro theories showing how vicious regress, e.g. the homunculus fallacy, is (sadly) alive and well — and importantly how to avoid it. 1/

Barnstorming talk and Q&A from @olivia.science on her recent paper on cognitive maps and small cakes. Really thought provoking and now my head hurts. Also, I could listen to Olivia & @irisvanrooij.bsky.social talk about theory all day!

Wait what you can’t improve literacy by banning books and making children talk to statistical sentence fragment generators instead of humans?

Short, addressing a critical point and well justified. Worth reading!

A participant asks: “What more information do you need? Opinions are different than the facts given by the committee”. NRC reports: “But how to discuss a genocide? (…) there’s been enough talking, is the general opinion”. www.voxweb.nl/nieuws/this-...

Out this week @cogscisociety.bsky.social! @samhforbes.bsky.social & I ”urge extreme caution in the use of LLMs in classrooms lest we further normalize: pupils losing their privacy, reducing contact between learner and educator, deskilling teachers & polluting the environment” doi.org/10.1111/cogs...

Congratulations @olivia.science 🎊 🎉 So deserved. Thank you for all you do for the students and our education program. We are so lucky to have you working with us at the School of AI and @dondersinst.bsky.social !

Bravo. Congrats!

We are proud and happy to announce that our very own @olivia.science won the university-level Talent Award for her innovative and inclusive teaching. www.ru.nl/en/staff/new...

New 💫 Letter to the Editor in Cognitive Science, by @samhforbes.bsky.social & @olivia.science lnkd.in/eea8Cwmd

✨📝 Special issue “What Makes a Good Theory? Interdisciplinary Perspectives”, edited by @irisvanrooij.bsky.social @devezer.bsky.social @jcskewes.bsky.social Sashank Varma & Todd Wareham in journal Computational Brain & Behavior. link.springer.com/journal/4211... 🧪