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Limited applicability of Muon beyond Transformers

Muon, a fast training method, is predominantly used in Large Language Models (LLMs) and Transformers, with little to no application in other areas like ConvNets. This raises questions about its scalability and effectiveness in other contexts. The lack of discussion around Muon's use in other fields despite its announced record in training speed for Cifar-10 is puzzling.

Computing & Technology, Computer Science, Machine Learning