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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炒股想赚钱要先学什么？认错。这条视频我想复盘一下我2025年炒股的思路，分析一下在低频次出手的情况下，如何在机构和趋势股上赚钱，同时也想根据同学、朋友亏钱的操作来聊聊普通股民如何减少在股市里亏钱，选择更适合自己的思路。，更多细节参见旺商聊官方下载