China's 450kmph bullet train is the fastest ever built

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Muon outperforms every optimizer we tested (AdamW, SOAP, MAGMA). Multi-epoch training matters. And following work by Kotha et al. , scaling to large parameter counts works if you pair it with aggressive regularization -- weight decay up to 16x standard, plus dropout. The baseline sits at ~2.4x data efficiency against modded-nanogpt.

What’s changed in recent years is the speed and the scale at which they are being built. McKinsey estimates data center investment could reach a cumulative $6.7 trillion globally by 2030 to meet AI-driven demand—triggering a wave of construction unlike anything the industry has seen.。关于这个话题,旺商聊官方下载提供了深入分析

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