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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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（二）对正常运行的无线电台（站）产生有害干扰，经有关主管部门指出后，拒不采取有效措施消除的；
澎湃新闻此前报道，2024年4月，林芳通过笔试、面试及招聘指定体检，成功入职厦门市海沧区教育局下属幼儿园，成为在编教师。转折发生在 2025年5月，林芳被举报“患有地中海贫血且隐瞒病史”。
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争分夺秒重建家园，第一时间开通防返贫监测“绿色通道”，逐户制定“一户一策”帮扶计划……全国上下众志成城，希望在残垣瓦砾间迅速升起。
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