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.
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其中，2703 家企业扩大了研发人员规模，2328 家在收缩，另有278 家因首次披露而未被纳入比较。在研发人员整体增长的背景下，扩张与收缩的比例为1.16:1，低于上年的1.64:1。这表明，本年度扩张研发人员的平均增量，大于收缩企业的平均减量，企业之间研发投入存在分化现象。