Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Surya Ganguli
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Led by @stanford.edu's @suryaganguli.bsky.social, our Simons Collaboration on the Physics of Learning & Neural Computation will study AI's fundamental scientific principles: www.simonsfoundation.org/simons-foundation-launches-collaboration-on-the-physics-of-learning-and-neural-computation/ #science
In this Stanford news article, @stanfordhai.bsky.social Senior Fellow @suryaganguli.bsky.social argues that universities are essential for understanding how AI works. Here, he outlines three reasons why: news.stanford.edu/stories/2025...
Simons Foundation Launches Collaboration on the Physics of Learning and Neural Computation on Simons Foundation
There is a “fierce urgency” to understand how artificial intelligence works, says Stanford physicist Surya Ganguli, who is leading a project to bring the inner workings of AI to light through transpar...
Under Trump, NOAA ran the most recent competition for their highly prestigious postdoc program in climate and global change — but funded no one, wasting huge amounts of applicant and reviewer time.
It gets a lot worse. Now current postdocs in the program are going unpaid.
New Year’s resolution: more personal coding projects this year. Just finished pretraining and instruction fine tuning my own GPT2 scale LLM from scratch in PyTorch. Was so much fun!
A nice starter pack of researchers in the @simonsfoundation.org Collaboration on the Global Brain
go.bsky.app/66dLpPs
Our new paper "High-capacity associative memory in a quantum-optical spin glass." Achieves 7-fold increased capacity thru a quantum optical analog of short term plasticity from neuroscience. Atoms (neurons) couple to motion and photons (synapses)!
arxiv.org/abs/2509.12202
