This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.
百亿和十亿级别的企业研发投入总和1.76 万亿元，以6.39%的企业总数（378 家），占到全部研发投入的六成（64.94%）。
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“十五五”时期，是过渡期结束后转向常态化帮扶的新阶段。今年中央一号文件，首次系统性部署实施常态化精准帮扶。