Taylor Webb

Taylor Webb

@taylorwwebb.bsky.social

Studying cognition in humans and machines. Assistant Prof at Princeton Neuroscience Institute and Department of Psychology. https://scholar.google.com/citations?user=WCmrJoQAAAAJ&hl=en

1.5K followers646 following148 posts

Pinned

LLMs have shown impressive performance in some reasoning tasks, but what internal mechanisms do they use to solve these tasks? In a new preprint, we find evidence that abstract reasoning in LLMs depends on an emergent form of symbol processing arxiv.org/abs/2502.20332 (1/N)

arxiv.orgEmergent Symbolic Mechanisms Support Abstract Reasoning in Large Language ModelsMany recent studies have found evidence for emergent reasoning capabilities in large language models, but debate persists concerning the robustness of these capabilities, and the extent to which they ...

Taylor Webb reposted

If you've noticed a distinct dialect emerging in frontier AI models and struggled to understand what they're talking about, you're not crazy! We turned to psycholinguistics to investigate what makes the writing style so weird, and why this might be happening 🚨New preprint! 🧵

Taylor Webb reposted

Taylor Webb reposted

My main concern here is that what counts as “intelligence” is radically broad, covering “…doing, or performing functions” Any capacity measurable by cog sci is thereby written off, however closely it instantiates properties associated with human consciousness AI consciousness is ruled out by fiat

Anil Seth@anilseth.bsky.social

1/2 Three reasons why AI is not conscious - and perhaps never will be. New in @nature.com with Ned Block @neddo.bsky.social and Giulio Tononi www.nature.com/articles/d41...

Taylor Webb reposted

I'm looking for a PhD student in my lab. Mila is one of the best academic AI research institutions with a strong neuroAI community. Please apply to if you are interested!

Mila - Institut québécois d'IA@mila-quebec.bsky.social

Mila's annual supervision request process is now open to receive MSc and PhD applications for Fall 2027 admission! For more information, visit https://mila.quebec/en/prospective-students-and-postdocs/research-programs/request-supervisor

Taylor Webb reposted

New work by @msaddler.bsky.social with a striking finding: a wide range of human perceptual thresholds are replicated in a neural network optimized for real-world auditory tasks. Suggests that thresholds are determined by linear separability in task-optimized representations.

Mark R. Saddler@msaddler.bsky.social

Pleased to share my new preprint with @joshhmcdermott.bsky.social and Torsten Dau: www.biorxiv.org/content/10.6... ! It shows that many of the characteristic limits of human hearing emerge from perceptual representations optimized for everyday hearing behavior. [1/6]

Taylor Webb reposted

Excited to see this work published! We find that the brain codes semantic relationships similar to contextual LLMs (like GPT2) but unlike LLMs, uses contrastive coding to prevent confusion of highly similar words. Many thanks to the reviewers and BCM neurosurgery team! www.nature.com/articles/s41...

nature.comA population code for semantics in human hippocampus - Nature NeuroscienceFranch et al. show that human hippocampal neurons encode the meanings of the words we hear through distributed, context-sensitive population activity that mirrors some features of large language model...

Taylor Webb reposted

Do non-human primates have theory of mind? My new paper takes a new computational approach to this classic question. We implemented verbal theories of primates' mental representations as computational models. These models completed classic visual perspective-taking tasks.

Taylor Webb reposted

This is a very interesting paper that makes some useful clarifications between different senses of learning, however I think it overstates the extent to which the nativism vs. empiricism debate stems purely from terminological confusion. (1/x)

Jake Quilty-Dunn@quiltydunn.bsky.social

New paper, co-authored with Justin Wood, in @cp-trendscognsci.bsky.social: The Nativist-Empiricist Debate Is Broken We argue that radical nativism and radical empiricism are compatible and, in some cases, both plausibly true. So something is wrong. 🧵 Author share link here, valid til Oct 31:

View full thread

To the extent that digital twin studies show that generic neural networks can develop cognitive capacities from developmentally matched training data, that arguably resolves the debate in favor of empiricism.

This is a very interesting paper that makes some useful clarifications between different senses of learning, however I think it overstates the extent to which the nativism vs. empiricism debate stems purely from terminological confusion. (1/x)

Jake Quilty-Dunn@quiltydunn.bsky.social

New paper, co-authored with Justin Wood, in @cp-trendscognsci.bsky.social: The Nativist-Empiricist Debate Is Broken We argue that radical nativism and radical empiricism are compatible and, in some cases, both plausibly true. So something is wrong. 🧵 Author share link here, valid til Oct 31:

View full thread

Paradigmatic nativists (chomsky, pinker, marcus, etc) have repeatedly argued that general-purpose neural networks cannot learn certain capacities, or can’t account for how early certain capacities are learned.

More broadly, I would argue that the field in general understands ‘nativism’ to refer to the view that some capacities can’t be learned in any sense, rather than the narrow view that some capacities aren’t learned over symbolic concepts.

This is a very interesting paper that makes some useful clarifications between different senses of learning, however I think it overstates the extent to which the nativism vs. empiricism debate stems purely from terminological confusion. (1/x)

Jake Quilty-Dunn@quiltydunn.bsky.social

New paper, co-authored with Justin Wood, in @cp-trendscognsci.bsky.social: The Nativist-Empiricist Debate Is Broken We argue that radical nativism and radical empiricism are compatible and, in some cases, both plausibly true. So something is wrong. 🧵 Author share link here, valid til Oct 31:

View full thread

Thus, digital twin studies–showing the emergence of seemingly innate behaviors in generic neural network architectures with developmentally curated training data–can fail to overturn nativism on this definition because learning in these neural networks doesn’t operate over symbolic concepts.

While this matches the way that some nativists (e.g. fodor) have talked about learning, I think this overstates the way that the debate is broadly understood in the field.

This is a very interesting paper that makes some useful clarifications between different senses of learning, however I think it overstates the extent to which the nativism vs. empiricism debate stems purely from terminological confusion. (1/x)

Jake Quilty-Dunn@quiltydunn.bsky.social

New paper, co-authored with Justin Wood, in @cp-trendscognsci.bsky.social: The Nativist-Empiricist Debate Is Broken We argue that radical nativism and radical empiricism are compatible and, in some cases, both plausibly true. So something is wrong. 🧵 Author share link here, valid til Oct 31:

The crux of the argument is that ‘learning’ is used in two different senses, with nativists meaning learning over symbolic concepts, and empiricists meaning subsymbolic (e.g. connectionist) learning, such that whatever is happening in neural networks doesn’t count as learning to nativists.

Taylor Webb reposted

🤖🧠NEW PAPER🧠🤖 (The result of an 8-year project!) LLMs seem very different from symbolic systems. Yet LLMs excel in symbolic domains (e.g., language/code/math). How do they do it? Our finding: LLM representations have implicit symbolic structure! Link in thread ⬇️ 1/n

Taylor Webb reposted

Our task-switching paper is now out at Current Biology! www.cell.com/current-biol... We find that that our brains reset to a task-neutral state between trials, providing flexibility when the upcoming task is uncertain. RNNs also learn this strategy, but only when trained to switch tasks.

Taylor Webb reposted

We are hiring a full professor for "Intelligence in biological and artificial systems". If you don't know about the German system yet, let me tell you a little bit about working as a professor at the institute. Thread 👇

Tim Kietzmann @timkietzmann.bsky.social

📢 We are hiring a full professor in "Intelligence in Biological and Artificial Systems". Come join us at Germany's first and largest cognitive science program. Please share far and wide, and get in touch with any questions. www.uni-osnabrueck.de/en/universit...

Taylor Webb reposted

We’re recruiting a full-time lab manager to join the Shared Minds Lab at USC! This will be a great opportunity for someone who wants to get hands-on experience with research before starting a PhD program in psychology or neuroscience. More below:

Taylor Webb reposted

The journal version is out! www.cell.com/trends-open/... AI is turning machine consciousness into a societal issue. Biological Naturalism (BN), the idea that only biological systems can be conscious, is gaining traction. We argue: either BN is untestable, or it is compatible with functionalism.

cell.comWhat biology can and cannot tell us about conscious AIProgress in artificial intelligence is turning machine consciousness from a philosophical curiosity into a societal issue, and has led to criticism of the widespread computational functionalist framew...

Taylor Webb reposted

@arthurpr4t.bsky.social has a new preprint with important results on a famous psychophysical law (Weber's law). It isn't, in fact, a law, because it can be broken. A more fundamental principle (efficient coding) shows when and why Weber's law holds true. www.biorxiv.org/content/10.6...

biorxiv.orgEfficient coding makes and breaks Weber's lawWeber's law is a rare quantitative regularity in psychology, yet its origins remain debated. Here we provide causal evidence that it arises from the more fundamental principle of efficient coding. Thi...

Taylor Webb reposted

Very much looking forward to welcoming a new colleague! We're hiring at both ranks — the senior (Associate/Full) search is open too, applications due Oct 15: apply.interfolio.com/190696

browncopsy.bsky.social@browncopsy.bsky.social

Brown University CoPsy is hiring an Assistant Professor! Research areas: AI & cognition, collective behavior, or brain health. Starting July 2027. Apply by Sept 15: apply.interfolio.com/190677

Taylor Webb reposted

Taylor Webb reposted

The Naturalistic Cognitive Computational Neuroscience Lab is launching at UT Austin and is looking for founding members at all levels, including lab manager, PhD students, and postdocs! #NeuroJobs We will study human brain🧠 and memory & attention, using fMRI and modeling. thesonglab.github.io

Taylor Webb reposted

Then @jonkoenig.bsky.social will present a spotlight poster in the afternoon session ‘Trading Generalization for Working Memory Capacity in Neural Network Representations’ 2026.ccneuro.org/poster/?id=p...

2026.ccneuro.orgPoster Presentation
Taylor Webb@taylorwwebb.bsky.social

Happening today at #CCN @melodylizx.bsky.social will give a talk + spotlight poster ‘Data diversity drives the emergence of symbolic mechanisms in LLMs’ in the morning session 2026.ccneuro.org/contributed-...

Very excited to be involved with this much needed effort as a senior editor, a new journal focused on natural and artificial minds, please submit your work!

Minds, Machines, and Brains (MMB)@mmb-journal.bsky.social

Hello world! 👋 We’re Minds, Machines, and Brains (MMB) 👤🤖🧠 a new open access journal from @mitpress.bsky.social exploring the principles of intelligence and cognition across natural and artificial minds. Submissions open this Fall! 🔗 direct.mit.edu/mmb

Taylor Webb reposted