一个是放大了“垃圾工作”的数量，甚至出现指数级增长。
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If single-layer duplication doesn’t help, the middle layers aren’t doing independent iterative refinement. They’re not interchangeable copies of the same operation that you can simply “run again.” If they were, duplicating any one of them should give at least a marginal benefit. Instead, those layers are working as a circuit. A multi-step reasoning pipeline that needs to execute as a complete unit.
但拆解这些方法，其关键词多与“提升效能”、“合理分配算力”和“特定领域针对性优化”相关联，实际上，也意味着预训练阶段的性能跃迁不会再现。