I am *thrilled* to share this review in @currentbiology.bsky.social out today, by yours truly, @myoo.bsky.social, @michalk.bsky.social, Taro Toyoizumi, @tyrellturing.bsky.social, @taylorwwebb.bsky.social, & @hakwan.bsky.social www.sciencedirect.com/science/arti... 🧵👇

New preprint from the lab! “A number simplex in the human medial temporal lobe” led by @hanlin-zhu.bsky.social 🧵 www.biorxiv.org/content/10.6...

The global neuronal workspace (GNW) is currently the best documented neuroscience mechanism by which conscious processing arises in the human brain — and now Anthropic researchers have discovered a similar workspace inside their large language model ! www.anthropic.com/research/glo...

I wrote a book! It's called WHY WE ASK WHY, and it's about the human drive to explain, combining psychology, philosophy, and stories. It will be released on October 6, but it's currently available for pre-order from Barnes & Noble at 25% off with code PREORDER25.

RL has taught sequence models to gather context for extrinsic rewards — solving tasks, hitting goals. But what about intrinsic rewards the model builds from its own predictions? Our new paper on curiosity and open-ended in in-context learning explores this question 🧵👇 arxiv.org/abs/2606.19476

How do human minds make sense of big, messy problems? 😵‍💫🌀 How do we distill complexity into something simple enough to solve? 🤔💡 We’ll be tackling these questions (and more!) at two workshops on task representations, abstractions, and construals #CogSci2026 #CCN2026 🧵 framing-the-problem.github.io

We don’t always know what problems are hard for LLMs. So devs evaluate on tasks HUMANS find hard or on broad benchmarks. What if we could instead anticipate which scenarios a model will fail on—all without evaluating specific input examples? 🧵NEW PAPER by @jenniferlumeng.bsky.social

Very excited to share that my lab will be moving to Princeton (Neuroscience & Psychology) this fall. I'll be recruiting at all levels (more info to come soon), please share / get in touch if you're interested in joining!

1/ Periodic reminder: decodable ≠ causally used. Or, as we put it: Represented Is Not Computed. New paper w/ the excellent Ishita Darade (not on BSky; www.linkedin.com/in/ishita-da...), an undergrad student: arxiv.org/abs/2605.22488 #representation #NeuroAI #neuroscience #interpretability

🚀 PhD position in #NeuroAI & neurodevelopment 🚀 Co-supervised by Sarah Lippé and myself, to investigate visual processing & cognition abnormalities in children with neurodevelopmental disorders in a neuroAI framework. Full project details and how to apply here: tinyurl.com/kbuyntpn 🧠🤖 📈

Jeee 🐦‍⬛ I am very proud of our joint effort with @sreejan.bsky.social on the project "Reason to Play" LRMs show human-like rule discovery, and their hidden states predict human brain activity during gameplay 10x better than previous methods Interactive demo + paper: botcs.github.io/reason-to-pl...

New paper from the lab! "Plasticity and language in the anaesthetized human hippocampus" www.nature.com/articles/s41...

Our new study (Debray*, Karami* et al.) explores how the brain encodes basic math concepts (integers, fractions, shapes). Samuel Debray led the 7T fMRI & behavioral work; I led the MEG. @danielavalerio.bsky.social @chrplr.bsky.social @standehaene.bsky.social www.biorxiv.org/content/10.6...

When and how can test-time thinking allow models to use information latent in their training data? What are the benefits and tradeoffs relative to other solutions like synthetic data augmentation? Pleased to share (after a long delay) an exploration of these issues: arxiv.org/abs/2604.01430 thread:

A new Department of Cognitive Science is being created at Bocconi University in Milan, Italy. Here is the call for a cluster hire (for around 10 faculty) in all areas of cognitive science, at both junior and senior levels: www.unibocconi.it/en/faculty-a... Deadline: May 4th, 2026

Excited to give a talk at #Cosyne2026 about my PhD work! We show that RNNs trained on visual search converge on brain-like solutions, producing primate-like behavior and neural representations. Happy to chat if you're at Cosyne! 📅 March 15, 2026 📍 Lisbon, Portugal www.biorxiv.org/content/10.1...

Can large language models *introspect*? In a new paper, @kmahowald.bsky.social and I study the MECHANISM of introspection in big open-source models. tldr: Models detect internal anomalies through DIRECT ACCESS, but don't know what the anomalies are. And they love to guess “apple” 🍎

How do you knock the induction heads out of an LM while preserving its ability to think? Is it even possible? @keremsahin22.bsky.social's work is worth reading if you haven't seen it yet. hapax.baulab.info

What is the relationship between memorization and generalization in AI? Is there a fundamental tradeoff? In infinitefaculty.substack.com/p/memorizati... I’ve reviewed some of the evolving perspectives on memorization & generalization in machine learning, from classic perspectives through LLMs.

Very excited for our second workshop on the computational ingredients of reasoning (Feb 24-27), this one focused on mechanisms of reasoning in both AI and the brain. Check out the program to see our amazing lineup of speakers, and please consider attending! ivado.ca/en/events/me...

Thrilled that my paper is out in the @nature.com. We explored how the brain builds complex tasks by compositionally combining simpler sub-task representations. The brain flexibly performs multiple tasks by dynamically reusing neural subspaces for sensory inputs and motor actions rdcu.be/eRVUk

Excited to announce a new book telling the story of mathematical approaches to studying the mind, from the origins of cognitive science to modern AI! The Laws of Thought will be published in February and is available for pre-order now.

amazing summary of our work on visual symbolic mechanisms bsky.app/profile/this...

Excited to share that our work on Visual Symbolic Mechanisms has been accepted to ICLR! 🌴🇧🇷

How do you know how visual stimuli are represented internally for decision making? This is perhaps the central question in perceptual decision making. In a new paper, we show that one can use artificial neural networks to crack this problem. #NeuroAi #VisionScience direct.mit.edu/opmi/article...

Imagination in bonobos! I am thrilled to share a new paper w/ Amalia Bastos, out now in @science.org We provide the first experimental evidence that a nonhuman animal can follow along a pretend scenario & track imaginary objects. Work w/ Kanzi, the bonobo, at Ape Initiative youtu.be/NUSHcQQz2Ko

Very excited about this work looking at the emergent mechanisms that vision language models use to perform structured visual processing, mirroring a computational strategy (visual indexing) proposed in cognitive science, but here learned by VLMs. Check out the paper/thread for more details!

The visual world is composed of objects, and those objects are composed of features. But do VLMs exploit this compositional structure when processing multi-object scenes? In our 🆒🆕 #ICLR2026 paper, we find they do – via emergent symbolic mechanisms for visual binding. 🧵👇

This was a blast! Thanks for joining us!

What should academics be doing right now? I have been writing up some thoughts on what the research says about effective action, and what universities specifically can do. davidbau.github.io/poetsandnurs... It's on GitHub. Suggestions and pull requests welcome. github.com/davidbau/poe...

Can you solve this algebra puzzle? 🧩 cb=c, ac=b, ab=? A small transformer can learn to solve problems like this! And since the letters don't have inherent meaning, this lets us study how context alone imparts meaning. Here's what we found:🧵⬇️

Come join us for this first worshop of a three part series on the computational ingredients of reasoning in minds and AI. Reasoning is a complex term, especially in light of an exploding category of methods in LLMs. These workshops will explore reasoning’s multiple facets.

Another great commentary on recent claims that conjunctive codes obviate the need for binding. The binding problem is alive and well, for both ANNs and the brain.

We’ve now posted the schedule for our first workshop (Jan 27-29) ivado.ca/en/events/co...

Now out in @cp-trendscognsci.bsky.social: our short response to @neurosteven.bsky.social & Edward de Haan's recent paper on the binding problem. We argue that the binding problem arises because of tradeoffs faced by any information processing system, including the brain and DNNs. shorturl.at/RGXzt

Very much looking forward to this series of workshops on the computational ingredients of reasoning. We have an amazing lineup of speakers from diverse backgrounds, and there will be lots of opportunities for discussion. Please consider attending!

IVADO unveils the schedule of the first workshop "Cognitive Basis of #Reasoning (in Minds and #AI)", Jan 27-29, 2026, spearheaded by @taylorwwebb.bsky.social and Dhanya Sridhar. 🗓️ Schedule and speakers: ivado.ca/en/events/co... 📥 Registration: event.fourwaves.com/thematicseme...

Excited to share our NEWEST PREPRINT led by @rochellekaper.bsky.social!! osf.io/preprints/ps... We ask: How do people learn multiple layers of environmental structure – w/o feedback – & how well do they *know* they’ve learned? Turns out, stimulus familiarity matters more than we thought! 🧵👇

When are impossibility proofs misleading? In infinitefaculty.substack.com/p/be-wary-of..., I discuss a common issue I see: proofs that are logically valid, but where the underlying assumptions are unjustified. I discuss ‘proofs’ that cognition cannot be tractably learned, and that LMs are 1/

When and why do modular representations emerge in neural networks? @stefanofusi.bsky.social and I posted a preprint answering this question last year, and now it has been extensively revised, refocused, and generalized. Read more here: doi.org/10.1101/2024... (1/7)

once again being driven insane by ML conference submissions

Very much looking forward to this series of workshops on the computational ingredients of reasoning. We have an amazing lineup of speakers from diverse backgrounds, and there will be lots of opportunities for discussion. Please consider attending!

🧠 Ingrédients computationnels du raisonnement : participez au prochain semestre thématique #IVADO qui se tiendra à Montréal de janvier à mars 2026. ➡️ Inscriptions event.fourwaves.com/fr/thematics... @glajoie.bsky.social @taylorwwebb.bsky.social @lampinen.bsky.social

For those attending the #CogInterp workshop at NeurIPS, please check out our work on visual symbolic mechanisms led by @rassouel.bsky.social and @thisisadax.bsky.social. We find that visual feature binding in VLMs is supported by emergent symbolic mechanisms.

1/ Why does RL struggle with social dilemmas? How can we ensure that AI learns to cooperate rather than compete? Introducing our new framework: MUPI (Embedded Universal Predictive Intelligence) which provides a theoretical basis for new cooperative solutions in RL. Preprint🧵👇 (Paper link below.)

1/9 🚨Thrilled to share "Caption This, Reason That", a #NeurIPS2025 Spotlight! 🔦 Meet us at #2112, 3 Dec 11 a.m. We analyze VLM limitations through the lens of Cognitive Science (Perception, Attention, Memory) and propose a simple "Self-Captioning" method that boosts spatial reasoning by ~18%. 🧵👇

Our paper “The cost of thinking is similar between large reasoning models and humans” is now out in PNAS! 🤖🧠 w/ @fepdelia.bsky.social, @hopekean.bsky.social, @lampinen.bsky.social, and @evfedorenko.bsky.social Link: www.pnas.org/doi/10.1073/... (1/6)

LLMs are trained to compress data by mapping sequences to high-dim representations! How does the complexity of this mapping change across LLM training? How does it relate to the model’s capabilities? 🤔 Announcing our #NeurIPS2025 📄 that dives into this. 🧵below #AIResearch #MachineLearning #LLM

this paper takes me by surprise a bit. of coz, we all know Ned's been thinking along these lines for decades: philpapers.org/rec/BLOBVC but is he really gonna seriously publish a new paper on this now, given all the AI hype & debates re: how unscientific some popular views on C are these days? 1/