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Jamie Simon
Deep learning theorist and research fellow at Imbue with a PhD in physics from Berkeley, focused on first-principles understanding of neural network learning dynamics and physics-inspired theory.
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52 snips
Apr 24, 2026
• 1h 33min
There will be a scientific theory of deep learning
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Josh Albrecht, Imbue co-founder and applied ML engineer; Daniel Kunin, Berkeley postdoc studying mathematical principles of intelligence; Jamie Simon, Imbue research fellow and physics-trained deep learning theorist. They explore a proposed “learning mechanics” — a physics-like theory of deep learning. Short takes cover why theory is needed, scaling and limit behaviors, progressive sharpening and edge-of-stability, universality of representations, and how theory and mechanistic interpretability can work together.
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