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.
入园适应期2025年9月1日，对孩子和我们一家来说都是重要的一天。这是孩子4年来，第一次离开我们身边，进入一个全新的环境。学校要求7点50左右到校（因为要吃早饭）；早上7点叫孩子起床，但是孩子好像知道什么，不愿意起，要让妈妈一起起床，让我们两个人一起送她去幼儿园。
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