它的技术突破是真实的：Moonshot团队重写了Transformer的注意力机制，打破所有层必须使用全注意力的惯例，在128K到1M超长上下文中将解码速度提升5-6倍。它解决了Muon优化器在万亿参数规模训练时的Logits爆炸问题，实现2倍于传统AdamW的Token效率。
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