中国工业用电比美国低30%到40%，中西部绿电甚至低50%到70%。加上中国工业用电盘子大，可以充分利用谷电训练模型，这构成了中国AI企业的物理成本护城河。
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After OpenAI released GPT-5.3-Codex (high) which performed substantially better and faster at these types of tasks than GPT-5.2-Codex, I asked Codex to write a UMAP implementation from scratch in Rust, which at a glance seemed to work and gave reasonable results. I also instructed it to create benchmarks that test a wide variety of representative input matrix sizes. Rust has a popular benchmarking crate in criterion, which outputs the benchmark results in an easy-to-read format, which, most importantly, agents can easily parse.
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