Lucas Beyer counters Nesterov's generalization pessimism with the transformer inductive-bias argument

giffmana · x · 2026-10-23

Google DeepMind researcher Lucas Beyer responds to Nesterov's concise framing on generalization, offering a 'wishful' counterargument: the pessimistic claim is general, but with the right inductive biases and a reasonably organized parameter space — i.e., the transformer architecture — reality could be far less pessimistic.

Related event: Researchers Debate Nesterov's Claim: Inductive Biases May Rescue Neural Network Generalization(2 posts)→

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