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Philipp Haueis @phaueis.eurosky.social · 04/10/2026

Oops Poldrack paper here philarchive.org/rec/POLUPA

Philipp Haueis @phaueis.eurosky.social · 04/10/2026

Mazviita Chirimuuta has a nice paper on this prediction-understanding tradeoff link.springer.com/article/10.1... Also @russpoldrack.org just published a piece arguing for the opposite view that prediction and understanding are tightly linked link.springer.com/article/10.1...

link.springer.com

Prediction versus understanding in computationally enhanced neuroscience - Synthese

The use of machine learning instead of traditional models in neuroscience raises significant questions about the epistemic benefits of the newer methods. I draw on the literature on model intelligibil...

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Philipp Haueis @phaueis.eurosky.social · 04/10/2026

That’s why I find it interesting that after a decade of predictive success, researchers are moving back to create more compact models because „underlying computations remain buried beneath millions of parameters“ www.nature.com/articles/s41...

nature.com

Compact deep neural network models of the visual cortex - Nature

Parsimonious deep neural network models can be used for prediction of visual neuron responses.

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Philipp Haueis @phaueis.eurosky.social · 04/10/2026

Ofc, that was before HCNNs & visual transformers outperformed handcoded models in predicting visual system responses. But prediction≠understanding. We neither fully know the algorithm of trained-up ANNs nor which of the predictively equivalent ANNs best approximates actual neural computations

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Philipp Haueis @phaueis.eurosky.social · 04/10/2026

I agree with that too, but my question was not about implementation. My question was about which mathematical description best approximates actual system operations underlying human cognitive capacities. Seems to me that for many capacities the most compact computational description is unknown.

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Philipp Haueis @phaueis.eurosky.social · 03/10/2026

Do you think the same is true for computational questions? It seems to me there is enough unknown about the brain to spark a lot of fruitful research into computational mechanisms

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Matthieu de Wit @dewitmm.bsky.social · 03/10/2026

@phaueis.eurosky.social and @davidcolaco.bsky.social convincingly argue for metabolic considerations in neuroscience modeling. I had the privilege of writing a commentary. The point I add here is that this metabolic lens must be applied to the cognitive system as a whole, not just the neural scale.

doi.org

What does modeling neural function in its bodily and environmental context buy you? | Behavioral and Brain Sciences | Cambridge Core

What does modeling neural function in its bodily and environmental context buy you? - Volume 49

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David Colaço @davidcolaco.bsky.social · 02/10/2026

The complete version of @phaueis.eurosky.social and my BBS target article, "Metabolic considerations for cognitive modeling," is now available. It includes 32 commentaries and our response. Please share #philsci #philsky #cogsci

cambridge.org

Metabolic considerations for cognitive modeling | Behavioral and Brain Sciences | Cambridge Core

Metabolic considerations for cognitive modeling - Volume 49

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Philipp Haueis @phaueis.eurosky.social · 30/09/2026

I stopped playing after high school, and the latest games weren’t even new then 🤣 (tbh also played some later versions but they weren’t imprinting on my soul that deeply)

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MODEL TRANSFER ERC Project @modeltransfer.bsky.social · 21/09/2026

Murat Bakeev's article, "Model Transfer, the Challenge of Tractability Standards, and Methodological Embedding," has been published in Philosophy of Science as FirstView! You can read it open access via the link below. #FrontierResearch #ERCStG #ModelTransfer @erc.europa.eu

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Philipp Haueis @phaueis.eurosky.social · 23/09/2026

I‘d be curious how you’d respond to this kind of argument?

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Philipp Haueis @phaueis.eurosky.social · 23/09/2026

I recently gave a talk to philosophers of AI about energy use in brains and AI and was pointing out the enormous differences in efficiency used for computation. The general response was something like ”well computation is substrate independent and also the LLM on my laptop uses very little energy“

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hakwan lau @hakwan.bsky.social · 23/09/2026

about a decade ago i attended a talk by a (very famous) chip guy & he said that we needed to make neuromorphic chips in order to facilitate energy-efficient AI. he said given the interdisciplinary audience, he'd particularly like some tough & stimulating questions i didn't have one, but ...

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Sebastian Watzl @sebastianwatzl.bsky.social · 17/09/2026

I've been collaborating with the Norwegian Consumer Council for a while now; they not only a quite interested in working with us as philosophers, and do great legal work taking on the big shots, but also: they're funny. If you liked Norsemen, you might like this.

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Philipp Haueis @phaueis.eurosky.social · 17/09/2026

Sounds like they’re exploiting the ambiguity of „human extinction“ strategically

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Philipp Haueis @phaueis.eurosky.social · 16/09/2026

Google: “Why reviewer 2 unhelpful and mean?“ Maybe I should stop talking about concepts and brains and join the promising field of international foot and ankle research 🤔

Text showing an email invitation to the International Journal of Foot and Ankle

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Victoria Livingstone @victoriajane.bsky.social · 10/09/2026

Not sure who created this, but how fitting

Scenes from the Matrix. Red pill-- AI will kill us all. Other pill-- AI will solve it all
Question to AI researchers:
Did you just take both pills?

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By Cory Doctorow (GPG 0xBF3D9110957E5F4C) @doctorow.pluralistic.net · 04/09/2026

Amazon's own balance sheet presents the most compelling evidence that we are stuck in the Enshittocene, the era in which everything is turning into a pile of shit, because the worst ideas of the worst people now make the most money. 1/

Hieronymus Bosch's 'The Conjuror,' a painting depicting a medieval con artist playing a shell game for an audience of astonished peasant rubes. The image has been altered: the conman now has Jeff Bezos's grinning head, and the mouths of all the peasants have been replaced with inverted Amazon 'Smile' logos, so they are now frowning.

Image:
Steve Jurvestson (modified)
https://commons.wikimedia.org/wiki/File:Jeff_Bezos%27_iconic_laugh_crop.jpg

CC BY 2.0
https://creativecommons.org/licenses/by/2.0/deed.en

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Paul Schütze @paulschuetze.bsky.social · 01/09/2026

Do we need AI at all? What about not developing AI technologies in the first place? And what about prohibiting certain AI systems or business models altogether? 👉 These are questions Benedetta Brevini and I raise in our new paper. Find the paper here: link.springer.com/article/10.1...

link.springer.com

Containing AI: from responsible to critical AI governance - AI & SOCIETY

This paper argues that most responsible AI (RAI) governance frameworks do not meaningfully address AI’s environmental and social costs. Rather, they merely create the impression of managing these prob...

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Suman Seth is Mortal & Measuring @alltoosuman.bsky.social · 01/09/2026

I am enrolling now. Course code, please.

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Better Things Are Possible @internethippo.bsky.social · 14/12/2024

I'm a moderate on the issue of cars, I don't think they should be banned but I do think they should all be this. Now I know what you're thinking: what if I need to go fast or need more space? That's just too bad

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Philipp Haueis @phaueis.eurosky.social · 31/08/2026

Interesting! I confess that the math is above my pay grade, but I’m curious how you conceptualize function here - do you mean just mathematical function, or something more biological? Also, I’m curious whether energy use when the network is implemented in hardware plays a role for your conclusions?

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Philipp Haueis @phaueis.eurosky.social · 28/08/2026

This looks great, and very relevant for topics I’m working on! Do you think different energy constraints could also lead to differences in representation, alongside different ecological constraints?

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Victoria Bosch @initself.bsky.social · 28/08/2026

Are brains and artificial neural networks converging onto universal representations? There is a seductive idea making the rounds in NeuroAI / machine learning: train systems well enough, and they all converge on the same representation of reality (i.e. a unique world model). We have thoughts™ 1/n

cell.com

The Umwelt Representation Hypothesis: rethinking Universality

Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on univer...

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Nick Young @nickofnz.bsky.social · 26/08/2026

Adapting to climate change without ending the fossil fuel industry.

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Jacob T. Levy @jacobtlevy.bsky.social · 24/08/2026

On this day in 2018. Kieran @kjhealy.co ‘s obituary will include the MacArthur essay and “Fuck Nuance,” but for a particular niche audience of connoisseurs, this is his masterpiece.

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Abilu Tangwa. @abilutangwa.bsky.social · 22/08/2026

100 companies are responsible for 71% of global emissions. They told YOU to recycle better while they polluted more. Don't fall for it. Hold systems accountable. #ClimateCrisis

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Thomas Spiteri @tespiteri.bsky.social · 12/08/2026

How do we come to know the hypercomplex object that is the brain? I had the pleasure of speaking with Dr Mazviita Chirimuuta about the history and philosophy of its simplification, its analogy with computers, & the case for theoretical humility in how we study it. Links: linktr.ee/thehpspodcast

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Dr. Jeroen W.P. Wijnendaele @drdragases.bsky.social · 29/07/2026

No longer content with pillaging intellectual work and dismembering our environment (already critically weakened), AI companies are now hellbent on destroying books galore including rare editions. Shut down these nefarious enterprises already.

news.com.au

AI labs buy, scan, shred millions of rare books

If you have retreated to physical books because the internet is too full of AI slop, bad news — now they’re shredding the books to feed their AI slop machines.

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Janet Vertesi @cyberlyra.bsky.social · 29/07/2026

Hey #sociologists and #sts scholars! We've been teaching Merton's norms of science wrong for decades!! They're not lofty misstaken descriptions, but a prescription for state funded science to avoid Nazism! More relevant than ever today. My latest with @nataliebaviles.bsky.social #academicsky

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David Colaço @davidcolaco.bsky.social · 21/07/2026

More works coming out about the relation between brain energy efficiency and AI. @meganakpeters.bsky.social is also a contributor to quite a nice commentary for @phaueis.eurosky.social and my BBS target article on "Metabolic considerations for cognitive modeling".

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Peter Godfrey-Smith @petergs.bsky.social · 20/07/2026

Writing a series of long blog posts about brain rhythms, fields, and related topics. To work through some ideas & difficult papers, correct some things I said earlier, note disagreements, and so on. Two posts so far. 1. metazoan.net/132-rhythms-1/ 2. metazoan.net/133-rhythms-2/

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Kevin Elliott @kjephd.bsky.social · 19/07/2026

The elephants see right through this, and look offended we think they're so stupid as not to

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Dan Goodman @neural-reckoning.org · 16/07/2026

New preprint (well, very updated). 🤖🧠🧪 We find that an abstract model of neuromodulation lets spiking neural networks perform much better, particularly in challenging noisy environments, using less energy. Relevant to #neuroscience and #neuromorphic computing. 🧵👇 www.biorxiv.org/content/10.1...

biorxiv.org

Neuromodulation enhances the capability and efficiency of spiking neural networks

Spiking neurons underlie the brain’s extreme energy efficiency, and therefore have great potential in neuromorphic computing, although realising this efficiency in practice has proven challenging. We ...

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Marco Facchin @marcofacchin.bsky.social · 14/07/2026

Hi all We are starting to post the videos of the "Beyond Computationalism" event on Youtube. You can find them here www.youtube.com/@faridzahnoun1 #philmind #philsci #philsky #philpsy #neurosky #neuroskyence

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Moritz Kriegleder @mokriegleder.bsky.social · 10/07/2026

How to write a philosophy of neuroscience paper: 1. choose a narrow neuroscience definition 2. argue why the concept is much more complex 3. profit #neuroscience #neuroskyence #consci #philsci 🧪

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Philipp Haueis @phaueis.eurosky.social · 10/07/2026

In the follow-up workshop I linked her work on patchworks of laws to my work on patchwork concepts, using the case of „force“ to explain macroscale collisions in physics. We also discussed new collaborative work by Nancy critiquing evidence synthesis in EBM (2/2) #edusky #philsci #physics

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Philipp Haueis @phaueis.eurosky.social · 10/07/2026

It was a great honor and pleasure to host Nancy Cartwright in Bielefeld. In her lecture at the Institute for Studies of Science „In Defense of Ambiguity“ - that we need polysemous terms to study things we care about, like „poverty“, which has different meanings/measures in different contexts (1/2)

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Philipp Haueis @phaueis.eurosky.social · 09/07/2026

I guess I was thinking about the brain (not LLMs) encoding concepts. Many concepts seem to have fuzzy or no boundaries, so perhaps neural computations are doing it very differently than the cognitive models require? If brains do compute they may do so very differently than artificial ones.

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Philipp Haueis @phaueis.eurosky.social · 09/07/2026

Can you provide a reference to who puts forth this argument?

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Philipp Haueis @phaueis.eurosky.social · 09/07/2026

Complements our current BBS target article on including metabolism in cognitive models www.cambridge.org/core/journal... Nice to see that more experimental work also takes this approach

cambridge.org

Metabolic considerations for cognitive modeling | Behavioral and Brain Sciences | Cambridge Core

Metabolic considerations for cognitive modeling

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Neuroskeptic @neuroskeptic.bsky.social · 09/07/2026

Learning makes the brain more efficient: "post-learning fuel cost per task was significantly lower than pre-learning levels... [due to] a reduction in intracellular glucose consumption" www.biorxiv.org/content/10.6... I mean, this isn't surprising, but nice to confirm it!

biorxiv.org

Learning Shapes the Energy Cost of Neural Tasks

The stark difference in energy use between AI systems and biological brains highlights both the remarkable efficiency of the brain and our limited understanding of the energetics underlying neural com...

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SAHASA 🐙🪸 @sculptedreef.com · 05/07/2026

Did you know octopuses are technically colorblind? 🌈 One photoreceptor, no color vision, should only see in grayscale. So how are they perfect color matching camouflage artists? 🐙 A thread 🧵 (with sources at the end, of course 😋) 🦑🐡

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Philipp Haueis @phaueis.eurosky.social · 04/07/2026

Curious if you think computation cannot be dynamic - because an algorithm is a stepwise procedure? Or because there is some fixed mapping between an input and an output? Because if computation can be dynamic, then why not think it can operate at the behavioral level?

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Philipp Haueis @phaueis.eurosky.social · 25/06/2026

Sure, I can send you slides, send me an email :)

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Philipp Haueis @phaueis.eurosky.social · 25/06/2026

Finishing an exciting workshop on concepts and normativity today @iphilluh.bsky.social with a commentary response format: seen here are my comments on Bryce Huebner‘s work on dynamic views of concepts and minds, discussing great work by @smellosopher.bsky.social amongst many others! #cogsci #philsky

Speaker Philipp Haueis in front of a wall displaying a power point slide entitled „concepts without joints, brains without maps, and three images: an orange cognitive priority map, a picture of Dharmakirti, and a picture of an elephant.
Below text saying „workshop on concepts and normativity“, Leibniz University Hannover, June 23 2026.

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Richard Moore @richardmoore.bsky.social · 23/06/2026

The Philosophy department at Exeter is exceptional. It has both a concentration of world leading researchers in the philosophy of the biological and cognitive sciences, and a unique departmental profile in the UK. It would be a catastrophic loss to the UK philosophy scene.

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