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@leloykun

The Case for Muon 1) We can descend 'faster' in non-Euclidean spaces 2) Adam/Shampoo/SOAP/etc. dynamically learn the preconditioner and, equivalently, the norm & space to descend in 3) Muon saves a lot of compute by simply letting the norm to vary within a fixed range https://t.co/PKpXrKSYpT

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  "full_text": "The Case for Muon\n\n1) We can descend 'faster' in non-Euclidean spaces\n2) Adam/Shampoo/SOAP/etc. dynamically learn the preconditioner and, equivalently, the norm & space to descend in\n3) Muon saves a lot of compute by simply letting the norm to vary within a fixed range https://t.co/PKpXrKSYpT",
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