Issue 2026-09-19 ยท Voices

Sebastian Raschka @rasbt

Interesting new insights into the old AdamW vs Muon debate: Muon seems to do better because it reduces memorization. [ๅผ•็”จ @CalcCon]: ๐—”๐—ฑ๐—ฎ๐—บ๐—ช ๐˜ƒ๐˜€. ๐— ๐˜‚๐—ผ๐—ป: ฮฑ, ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐—ณ๐—ถ๐˜๐˜๐—ถ๐—ป๐—ด, ๐—ฎ๐—ป๐—ฑ ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป. A quick update on our WeightWatcher experiments comparing AdamW with the newer Muon optimizer. We trained a single-head nanoGPT model with both optimizers across five seeds. We then used WeightWatcher to study the weight-matrix spectra and several forms of memorization. The top plot shows the average raw ฮฑ.โ€ฆ

X43 d ago
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