🔥 Global AI-Brain Initiative (AI and the Brain) https://t.co/7xj7G6bXh3 (a post for our new students; some links in it may be more widely interesting!)

.@BerenMillidge's blog is insanely good. https://t.co/3LygGXUYUJ

Please RT! I am looking for a PhD candidate in the area of Computational Cognitive Neuroscience to start in early 2026. The position is funded as part of the Excellence Cluster "The Adaptive Mind" at @jlugiessen. Please apply here until Nov 25: https://t.co/s8ZxH4oLfQ

Don’t miss Dr. Olaf Sporns (@SpornsLab) on “Networks, Dynamics, Information”! He’ll share insights from his pioneering work on the connectome & Network Neuroscience. 🧠🚀 🗓️ Fri, Oct 31, 2025 🕐 1 PM ET 💻 Virtual Talk

The @karpathy interview 0:00:00 – AGI is still a decade away 0:30:33 – LLM cognitive deficits 0:40:53 – RL is terrible 0:50:26 – How do humans learn? 1:07:13 – AGI will blend into 2% GDP growth 1:18:24 – ASI 1:33:38 – Evolution of intelligence & culture 1:43:43 - Why self

Teaching a new course @Stanford this quarter on explainable AI, motivated by neuroscience. I have curated a paper list 4 pages long (link in comment). What are your favorite papers on explainable AI/mechanistic interpretability that I am missing? Please comment or DM. thanks!

CAN YOU BUILD AI MODELS that give you (verifiable) uncertainty estimates in their outputs? How can you verify these estimates? If you want to see a brilliant talk on machine learning, classifiers, and calibration, watch this talk [1] by scikit-learn architect @GaelVaroquaux 🔥

Reviewer 3: it’s just a yo-yo

We were asked to write a commentary on NeuroAI for Nat. Rev. Neuro. with Sadra Sadeh, so here it is:

If you're getting into LLMs, PyTorch is essential. And lot of folks asked for beginner-friendly material, so I put this together: PyTorch in One Hour: From Tensors to Multi-GPU Training ( https://t.co/OpJnPkrGK9) 📖 ~1h to read through 💡 Maybe the perfect weekend project!? I’ve

Nature Communications A network correspondence toolbox for quantitative evaluation of novel neuroimaging results https://t.co/iPDCQiJLz9

In a recent paper, the physicists Mason Kamb (left) and Surya Ganguli found that the creativity in diffusion models is a consequence of their architecture. https://t.co/WrTKqPRzjA

🧵 What if two images have the same local parts but represent different global shapes purely through part arrangement? Humans can spot the difference instantly! The question is can vision models do the same? 1/15

This! 👉 Inter-Brain Neural Dynamics in Biological and Artificial Intelligence Systems https://t.co/J1PfRLgxaB #Social #NeuroAI #Hyperscanning

Nature Multi-timescale reinforcement learning in the brain https://t.co/psakliHKg0

📅OHBM BrainHack registration closes on June 14th 🚨 BrainHack 2025 registration closes in just 3 days 🧠 Hack. Learn. Connect. ⚠️ Slots are already limited. Register today and secure your spot now! 🔗

The Kempner Institute's Frontiers in NeuroAI symposium is about to start! Register to attend virtually here: https://t.co/uvSZCQYvdi #NeuroAI2025 #AL #ML #NeuroAI #neuroscience

I'm not sure what a representation is anymore... or maybe I never knew. These fine folks have some thoughts...

Looking forward to speaking today at Harvard’s @KempnerInst NeuroAI conference on theories of learning, creativity and reasoning. Looks like a great set of speakers. Virtual attendance is possible:

𝗡𝗲𝘂𝗿𝗼𝗻–𝗮𝘀𝘁𝗿𝗼𝗰𝘆𝘁𝗲 𝗮𝘀𝘀𝗼𝗰𝗶𝗮𝘁𝗶𝘃𝗲 𝗺𝗲𝗺𝗼𝗿𝘆 It's astrocyte month! https://t.co/G8aV3764TA