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Taco Cohen

Taco Cohen appears in 1 indexed conversation across Machine Learning Street Talk. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.

1 EPISODE1 SHOW
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Machine Learning Street TalkEN · 44 min

Making Deep Learning Perform Real Algorithms with Category Theory

Tim ScarfeAndrew DudzikPetar VelichkovichTaco CohenBruno GavranovićPaul Lessard

Frontier models can spend “hundreds of billions of multiplications” per token yet fail arithmetic changes, separating scale-driven fluency from reliable computation.Category theory extends geometric deep learning’s data-saving symmetry priors toward partial composition, recursion, coherent weight sharing, and neural implementations of carrying.The commercial question is whether this yields more stable, efficient inference or hybrid systems with correctness guarantees, rather than another architectural abstraction.