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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That means, for example, not wasting other members’ time by asking questions that could be easily answered by doing a Google search, or scrolling up or searching through the previous posts.。WPS下载最新地址对此有专业解读
这五年，用水方式实现深度变革。在经济总量稳步攀升的背景下，我国年用水量稳定控制在6100亿立方米以内。2025年，初步测算全国万元国内生产总值用水量、万元工业增加值用水量较“十三五”末分别下降20%和25%，节水相关产业市场规模估算超7600亿元。拧紧“水龙头”，水资源利用效率的跃升，彰显了新发展理念的生动实践。，推荐阅读heLLoword翻译官方下载获取更多信息
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