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Researcher with public evidence across AI research.
Our NeuroAI study made it onto the cover of Nature Machine Intelligence ❤️. In it, we demonstrate that a developmentally-inspired visual diet can drastically improve the robustness of ANN-based vision systems. www.nature.com/articles/s42... open access, open code, open weights…
New perspective piece with @mandanas.bsky.social: We argue, based on LLMs and old connectionist theories, that schemas shouldn't be viewed as distinct from semantic or episodic memories. They're just one end of a detailed-to-abstract memory spectrum: www.cell.com/neuron/fullt.…
14/15) Our paper builds on a lot of other great work on similarity-aware cooperation, universal AI and decision theories. Dive into the math and the full experiments in the paper! 👇 arxiv.org/abs/2608.03958
new paper, #NeuroAI 📣📜 Can measured cortical organization be used as an inductive bias for artificial recurrent neural networks? In this work, we ask whether cortical geometry, wiring, and function can push RNNs learn. Not as metaphor, but as measurable structure! 1/n🧵👇 arxiv.…
An analysis of 15 million Gemini interactions shows only 3% of occupations use the model for most of their tasks. Rather than automating ourselves away, we're mostly just offloading low-expertise chores to keep the complex, non-routine cognitive work for ourselves.
1/7 Excited to share my last PhD article, just accepted to ICML 2026! In it, we (me, Alexandre Payeur, Guillaume Lajoie) used dynamical systems theory to study "local" learning in linear recurrent neural networks. See link for the paper, and thread for a brief summary. arxiv.o…
In brain-computer interfacing, clever and adaptive decoders help brains learn complex tasks faster. These can impact the nature of solutions learned by the brain. Our new paper is one of the first attempts to study this effect. W/ @neuroamyo.bsky.social and team www.nature.com…
Nice paper out from @kohitij.bsky.social's group on integration of motion and object info in primate cortex, with some evidence that predictive learning is a potential means to achieve more similar models: arxiv.org/abs/2608.23790 #neuroscience #NeuroAI 🧪
Mila’s annual supervision request process is open for MSc and PhD applications for Fall 2027 admission. While I won’t be taking on new students for supervision this cycle, I encourage you to apply to join Mila’s brilliant deep learning research community.
What are the real problems to be solved in continual learning? In my latest post, I tackle this question — reviewing where I think the field went astray in the past, how language models changed things, and where the real challenges remain. infinitefaculty.substack.com/p/what-a…
Using AI in neuroscience labs. Great article at @thetransmitter.bsky.social by @nicoschuck.bsky.social. www.thetransmitter.org/artificial-i...
Over half of internet traffic is now non-human. With Dan Hendrycks and Leo Wu, I look at agent IDs, deployment cards, personhood, and payments. It mostly comes down to how much we let agents do and how much oversight we keep. buff.ly/AQjYo3k
1/15) What could drive AI agents to cooperate with each other, even if there is no chance for reciprocity or pay back? 🤔 🧵 Our team at Google, Paradigms of Intelligence, uncovered new paths to cooperation and a new game theory for foundation models 👇
Sanders' proposal for the government to take a 50% stake in AI companies is, IMO, a good idea. AI will be a critical piece of infrastructure, one which should be built with appropriate safe-guards and environmental planning. Trying to cancel AI is foolish - but leaving it to market forces is too.
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