Tiny Recursive Models Beat the Giants - Alexia Jolicoeur-Martineau (Microsoft)
Alexia Jolicoeur-Martineau
Hosted by Ravid Shwartz Ziv, Allen Roush
Published Sep 15, 2026
52 min
Description
Microsoft researcher Alexia Jolicoeur-Martineau explains the Tiny Recursive Model and the reasoning behind her work on small networks that repeatedly refine an internal state and proposed answer. The conversation examines truncated gradients, puzzle-solving benchmarks and the differences from autoregressive language generation. It also considers molecular modelling, limits of data scaling and which research directions she would prioritize. Hosted by Ravid Shwartz Ziv and Allen Roush. Watch the full conversation on the publisher’s YouTube channel.
Keywords
recursive reasoningsmall neural networksalgorithmic generalization
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