Olivia Guest · Ολίβια Γκεστ

@olivia@scholar.social
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Assistant Professor of Computational Cognitive Science at the Donders Institute and the School of Artificial Intelligence, Radboud University · she/they · cypriot/kıbrıslı/κυπραία · σὺν Ἀθηνᾷ καὶ χεῖρα κίνει
Websitehttps://olivia.science
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Hello & HAPPY FRIDAY, as promised an open letter by my lovely colleagues and myself. Everybody, feel free to sign this even if you are not NL-based and ‼️ share ‼️ (anonymous signature is poss):

Open Letter: Stop the Uncritical Adoption of AI Technologies in Academia

https://openletter.earth/open-letter-stop-the-uncritical-adoption-of-ai-technologies-in-academia-b65bba1e

 updated our (@andrea) connectionist preprint with some improvements due to great feedback on some points, e.g. refinement of the point on how concepts like "neurobiological plausibility" and so-called "bridge laws" are sadly nonsense (see extracts below from section 2.1, and PDF for full: https://doi.org/10.31234/osf.io/eaf2z)

The amazing @Iris, Marcela S., Barbara M. & I build towards (sadly not obv to all):

"Universities are not spokespersons for the AI industry. On the contrary, we need to resist being coopted and corrupted by the industries’ agendas."

https://rcsc.substack.com/p/critical-ai-literacy-beyond-hegemonic

Urgent plea to Dutch higher education institutions: Cut ties with genocide and refuse police on campus!

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 Scharfenberg & @Iris to elaborate: https://philsci-archive.pitt.edu/25289/

1/n

Modern Alchemy: Neurocognitive Reverse Engineering - PhilSci-Archive

To tease problems out, we use the cognitive map (a proposed theory for mental representation; although, see Table 1 here, for deeper analysis) as a case study and show how it differs from other related scientific concepts (phenomena and theories) and why this matters (Boxes 1 & 2, above). @andrea 2/

Tired but happy to say this is out w @andrea Are Neurocognitive Representations 'Small Cakes'? https://philsci-archive.pitt.edu/24834/

We analyse theories of representation in neuroscience showing how vicious regress, e.g. the homunculus fallacy, is (sadly) alive and well — and importantly how to avoid it. 1/

Are Neurocognitive Representations 'Small Cakes'? - PhilSci-Archive

‼️ new preprint out with @andrea on connectionism: the framework that uses artificial neural networks to model human cognition: we split it into Modern and Classical (see figure) to show how the (meta)theoretical commitments (see table) changed dramatically after 2010. read more here; I am too tired (unrelated reasons) to say more right now, but will return soon: https://doi.org/10.31234/osf.io/eaf2z
OSF

Titus, Lisa Miracchi. "Does ChatGPT have semantic understanding? A problem with the statistics-of-occurrence strategy." Cognitive Systems Research 83 (2024): 101174.

Nice one to complement my paper with @andrea when dealing with brain = ANN rhetoric: https://doi.org/10.1016/j.cogsys.2023.101174

Does ChatGPT have semantic understanding? A problem with the statistics-of-occurrence strategy

Over the last decade, AI models of language and word meaning have been dominated by what we might call a statistics-of-occurrence, strategy: these mod…

This is why when AI bros claim they don't understand their models you should laugh at them and not take it as evidence the model is somehow brain-like or mysterious

https://www.argmin.net/p/linear-doesnt-mean-easy

Linear Doesn't Mean Easy

Applied linear algebra is much harder than advertised.

arg min