π§ How do transformers learn relational reasoning? We trained small transformers on transitive inference (if A>B and B>C, then A>C) and discovered striking differences between learning paradigms. Our latest work reveals when and why AI systems generalize beyond training data π€
06.06.2025 14:28 β π 64 π 15 π¬ 2 π 4
New work on relational reasoning in transformers!
TLDR: Inductive biases of In-Weight and In-Context Learning in transformers are really different for relational reasoning, and pretraining can make a big difference for in-context.
Check out @jessegeerts.bsky.social's thread for more!
16.06.2025 22:23 β π 27 π 6 π¬ 1 π 0
This is fucking insane
23.05.2025 02:25 β π 45 π 10 π¬ 0 π 0
π₯ Do we now have all the components necessary to reach #AGI, or are there more discoveries to be made? Can the study of the brain help provide them?
We tackle these questions and more at our Conference on the Mathematics of Neuroscience and AI in sun-soaked Split, Croatia:
www.neuromonster.org
24.04.2025 14:16 β π 13 π 4 π¬ 1 π 2
Tomorrow is our @cosynemeeting.bsky.social workshop on Graph Neural Networks! From molecules to circuits to biomechanics to reasoning behaviors to social behaviors, neuroscience is rich with geometrically structured data.
Our goal: demystify GNNs, talk opportunities for π§
31.03.2025 05:24 β π 15 π 0 π¬ 0 π 0
@cosynemeeting.bsky.social workshops are almost here! Join GNN workshop w @neurokim.bsky.social and Sam Lewallen to hear @herrsaalfeld.bsky.social head of computation @hhmijanelia.bsky.social present on GNNs for learning structure and function underlying neural assemblies #cosyne2025
30.03.2025 00:55 β π 9 π 2 π¬ 1 π 0
Her lab does impressive foundational work on geometric statistics and manifold learning, sure to be an amazing talk! Come for the GNNs, stay for the manifolds! #cosyne2025 @neurokim.bsky.social
30.03.2025 10:17 β π 4 π 1 π¬ 0 π 0
More π₯π₯ speakers at @cosynemeeting.bsky.social GNN workshop: @ninamiolane.bsky.social who runs the @geometric-intel.bsky.social lab at UCSB. She will take us beyond ππ GNNs, presenting a survey of message passing topological neural networks for neuroscience
30.03.2025 10:17 β π 6 π 4 π¬ 1 π 0
Rounding out our speakers @cosynemeeting.bsky.social GNN workshop is @dom-beaini.bsky.social of @mila-quebec.bsky.social and @valenceai.bsky.social. Come hear him tell us how to learn aβ¦MOLECULE! Donβt forget brains π§ are made of chemicals βοΈ and chemicals + graphs = π«Ά
30.03.2025 22:26 β π 4 π 2 π¬ 1 π 0
If folks know of opportunities to do this, I'd love to hear about them (DM me). This isn't something I (...like lots of us) have experience in maybe, but no time like the present.
28.03.2025 21:52 β π 0 π 0 π¬ 0 π 0
This is not just happening at Columbia. This is happening all over, to students, who have espoused a political opinion. Free speech, due process, intellectual freedom... we need that for stuff.
28.03.2025 21:45 β π 0 π 0 π¬ 1 π 0
Tufts student had asthma attack after ICE arrest, attorneys say
Lawyers for Rumeysa Ozturk demand her release after βshocking, cruel and unconstitutionalβ arrest
Rumeysa was sent from Massachusetts to Louisiana -- just like Mahmoud Khalil -- despite a court blocking her removal from the state. She had an asthma attack while being sent to Louisiana.
www.independent.co.uk/news/world/a...
28.03.2025 21:35 β π 1 π 0 π¬ 2 π 0
YouTube video by WCVB Channel 5 Boston
Surveillance shows Tufts graduate student detained
There is footage of her arrest by plain clothes officers. I cannot imagine how terrifying it must be to have strangers walk up to you on your way to dinner and put you in a car and you're gone.
www.youtube.com/watch?v=PuFI...
28.03.2025 21:35 β π 0 π 0 π¬ 1 π 0
Rumeysa ΓztΓΌrk: Our Student, Teacher, Colleague, and Friend | Eliot-Pearson Department of Child Study & Human Development
Beautiful piece about Rumeysa ΓztΓΌrk, the tufts student who was abducted and detained for political speech, which paints a picture of a warm, compassionate, beloved member of the Tufts community (my alma mater) from those who know her.
as.tufts.edu/epcshd/news-...
28.03.2025 21:23 β π 19 π 4 π¬ 1 π 0
Just over a week to #cosyne2025 workshops! Speaker profile number 2 for GNN workshop w/ @neurokim.bsky.social and Sam Lewallen is @kristinmbranson.bsky.social of @hhmijanelia.bsky.social!
Kristinβs lab develops cutting edge machine vision approaches for quantitatively studying animal behavior.
21.03.2025 23:42 β π 11 π 4 π¬ 1 π 2
ARIA Opportunity Space: Scalable Neural Interfaces
Looking for an exciting fellowship in AI & Neuro, with competitive salary (~Β£100k)? We got a new position in the lab at Oxford, working with @somnirons.bsky.social and me! π§ͺ
Our project: encode.pillar.vc/projects/beh...
General info: encode.pillar.vc
#compneuro #neuroai #neuroscience #sciencejobs
23.03.2025 19:45 β π 41 π 26 π¬ 1 π 1
Finally this thread was shamelessly plagiarized from @kennethmarino.bsky.social 's thread on X (thanks kenny!):
x.com/Kenneth_Mari...
18.03.2025 16:59 β π 0 π 0 π¬ 0 π 0
Thanks to colleagues @ndrewliu.bsky.social, Henry Prior, Gargi Balasubramanian, Rivka Moroshko, Amir Zait, Ilia Labzovsky, Danny Karmon, Ishita Dasgupta, and @kennethmarino.bsky.social at Google DeepMind for a fun and super interdisciplinary collab!! π§ π€
18.03.2025 16:58 β π 0 π 0 π¬ 1 π 0
Andrew Liu (@ndrewliu.bsky.social)
what IS machine learning
Background: Computer Vision, 3D generative, post-training new capabilities
Deepmind Researcher | UC Berkeley 2018
For more information, check out the paper
openreview.net/pdf?id=yORSk...
and the open-source code + tutorial, where you can make custom dataset generators.
github.com/google-deepm...
Talk to @kennethmarino.bsky.social at #ICLR2025 in Singapore if you want to learn more!
18.03.2025 16:54 β π 2 π 0 π¬ 1 π 0
Third, it lets us generate custom datasets and configurations which can be used, for instance, compare reasoning behaviors across humans and models.
This also can be useful for experimental psychologists for generating new experiments in humans, and piloting experiments with LLMs.
18.03.2025 16:51 β π 0 π 0 π¬ 1 π 0
Second, it lets us more easily probe and diagnose models. Because of our configurability and synthetic generation, we can make intentional changes and ablations to the data to better diagnose model issues as well as generate auxiliary labels for analysis.
18.03.2025 16:48 β π 0 π 0 π¬ 1 π 0
This approach gives us three big advantages.
First, it lets us scale the amount of context and (importantly) the complexity of the graph problem to the capability of the LLM letting our problems scale as models become increasingly long-context and powerful.
18.03.2025 16:48 β π 0 π 0 π¬ 1 π 0
Instead of generating a static dataset for relational reasoning (the ability to reason about relationships between objects, events, or concepts) we develop a dataset generator. We specify a config and our framework generates a relational graph and then a question.
18.03.2025 16:48 β π 0 π 0 π¬ 1 π 0
Want to procedurally generate large-scale relational reasoning experiments in natural language, to study human psychology π§ or eval LLMs π€?
We have a tool for you! Our latest #ICLR work on long-context/relational reasoning evaluation for LLMs ReCogLab!
github.com/google-deepm...
Thread β¬οΈ
18.03.2025 16:45 β π 55 π 20 π¬ 2 π 2
Dual neuromodulatory dynamics underlie birdsong learning - Nature
Dopamine release in the basal ganglia of the zebra finch is driven by neurons associated with reinforcement learning and by cholinergic signalling, and tracks performance quality during long-term lear...
Also shoutout to @jiaxuanqi.bsky.social, @schreinerdrew.bsky.social, Miles Martinez, @jmxpearson.bsky.social & Rich Mooneyβamazing that we independently found complementary results & got to publish them together! Super exciting time for DA + motor learning research! π www.nature.com/articles/s41...
17.03.2025 17:48 β π 8 π 3 π¬ 0 π 0
Natural behaviour is learned through dopamine-mediated reinforcement - Nature
Studies in zebra finches show that dopamine has a key role as a reinforcement signal in the trial-and-error process of learning that underlies complex natural behaviours.
TL;DR: Natural behavior is learned through dopamine-mediated reinforcement! Tons more cool analyses by Jon Kasdin, Alison Duffy, Nathan Nadler, (me π), Adrienne Fairhall, @neurokim.bsky.social & Vikram Gadagkar in the paper: www.nature.com/articles/s41... (7/7)
17.03.2025 17:48 β π 10 π 3 π¬ 1 π 0
A podcast that's enthusiastic about linguistics! By @gretchenmcc.bsky.social and @superlinguo.bsky.social
"Fascinating" -NYT
"Joyously nerdy" -Buzzfeed
lingthusiasm.com
Not sure where to start? Try our silly personality quiz: bit.ly/lingthusiasmquiz
Research Engineer @ Google DeepMind
Associate Professor, Dept of Psychology, UC Berkeley.
PI of @shenhavlab.bsky.social
https://www.shenhavlab.org/
President of Signal, Chief Advisor to AI Now Institute
Techdirt guy. Writes about social media, copyright, free speech, content moderation, civil liberties and stuff like that. Once wrote a paper that may have helped inspire this service & now I'm on its board: https://bit.ly/protocolnotplatform
connectomics @ Google Research
New York Times investigative reporter, writing about the world of nonprofits. CNN political analyst. Please send story tips! daf@nytimes.com
How brain neural nets do computations; aim to understand differences in brain wiring. Bearish on AI taking over the world, bullish on neuro advances via understanding AI. Lab head. Personal, not govβt/NIH views here.
I tag neuro posts w/ #neuroscience /π§ͺ
AI, robotics, and other stuff. Currently AI @ agility robotics
Former Hello Robot, NVIDIA, Meta.
Writing about robots https://itcanthink.substack.com/
All opinions my own
Adapting the grid for climate change @ equilibriumenergy.com
ML Engineer turned Data Platform Engineer. Lover of all things longform and human: writing βοΈ, friendships π«, adventures β΅ ποΈ π§ββοΈ.
Because Science is for everyone! π§ͺπ
Learn more β¬οΈ
http://linktr.ee/standupforscience
π―sister org: @sciforgood.bsky.social
Professor of Marketing at NYU Stern School of Business, serial entrepreneur, and host of the Prof G and Pivot Podcasts.
Grandfather of 7, Jazz lover, New York Giants and Mets fanatic. Mensa member searching for truth.
Designing experiments to sort the universe of possible medicines for the mind.
Former Academic. Neuroscience/Psychology. Retired.
Interests: Recording and mixing music; The Beatles; currently learning to play drums.
tomhartley.me.uk
Interested in how & what the brain computes. Professor in Neuroscience & Statistics UC Berkeley