Patrick Mineault (@patrickmineault) / X

Patrick Mineault

5,546 posts

Patrick Mineault

@patrickmineault

NeuroAI researcher @ Amaranth Foundation, safety, open science. Previously engineer @ Google, Meta, Mila.

New York City

Joined April 2011

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Patrick Mineault
@patrickmineault
Dec 2, 2024
Excited to release what we’ve been working on at Amaranth Foundation, our latest whitepaper, NeuroAI for AI safety! A detailed, ambitious roadmap for how neuroscience research can help build safer AI systems while accelerating both virtual neuroscience and neurotech. 1/N
Patrick Mineault
@patrickmineault
Jul 9
There's a surprising amount of neurosymbolic work at the edge of capabilities in robotics. There's a case to be made that there are > 0 odds that (embodied) AGI won't look like undifferentiated end-to-end trained networks.
Kaiyuan Eric Chen ✈️RSS🇦🇺
@keplerccccc
Jul 7
Graph-as-Policy (GaP) is a new variant of Agentic Robotics from @nvidia and @UCBerkeley that builds computation graphs (like ROS) to ensure modularity, manage complexity, and facilitate interpretability. 🧵Open code and paper: graph-robots.github.io/gap/ #Robotics #Automation
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Patrick Mineault
@patrickmineault
Jun 18
This rules out many models of predictive coding
André M. Bastos
@BastosLabNeuro
Jun 18
1/ Update from the Lab: a multi-species, laminar-resolved test of Hierarchical Predictive Coding (HPC) in spiking activity. We (@jake_westerberg, @SophyXiong, et al. ) recorded across the visual cortical hierarchy in NHPs (at Vanderbilt) and in mice at the Allen Institute via
Patrick Mineault
@patrickmineault
Jun 4
We can't sprinkle AI on top of existing structures and expect *a country of geniuses in a datacenter* to then solve neuroscience. We need a clear-eyed view of how AI neuroscience is supposed to work. I wrote an optimistic but hype-free essay on what ought to be funded.
Patrick Mineault
@patrickmineault
May 21
nature.com
A critical initialization for biological neural networks
Nature - Basic properties of symmetric random matrices can explain the emergence of macroscopic patterns in neural networks, suggesting that initialization conditions of connected neural...
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