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.
重庆市奉节县，一座山水相依的小城。春节前夕，多次来华旅游的英国人詹姆斯从重庆市区乘高铁来到这里，“不到两个小时就能直达，出行很轻松。听说大名鼎鼎的三峡中的瞿塘峡就在这里，我早就想来看看这座宝藏小城。”，这一点在safew官方版本下载中也有详细论述
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2024年12月25日 星期三 新京报