Is Muon as good as they say? We looked beyond training speed and found a hidden cost: Muon loses the simplicity bias of older optimizers lik…

Muon optimizer shows faster training speeds compared to traditional optimizers, but analysis reveals it sacrifices the simplicity bias that older optimizers maintain, potentially impacting model generalization and interpretability. Jeremy Howard's research suggests that practitioners should weigh training speed improvements against the loss of this beneficial inductive bias when considering Muon adoption.

Source: Jeremy Howard (X) | 2026-06-30