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本文剖析ChatGPT、DeepSeek与Claude在自回归Transformer统一骨架上的差异化创新路径：OpenAI聚焦稀疏MoE与分层路由以优化计算效率；DeepSeek通过DeepSeekMoE和MLA压缩参数激活与KV缓存，降低推理开销；Anthropic则以宪法式对齐与RLAIF重构训练约束，提升可解释性与原则一致性。三者本质是算力受限下对效率、成本与对齐目标的联合求解。