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Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
。关于这个话题，雷电模拟器官方版本下载提供了深入分析
Publication date: 10 March 2026
海外媒体随即跟进，复述了 Anthropic 的话术。然而这套叙事逻辑很快就翻车了：毕竟「蒸馏」这件事美国 AI 公司训练的时候也会做，更何况 Anthropic 自己也有类似行为：