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.
"status": "Incomplete"
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第一个就是马斯克讲的就是我们人类的世界是field for human beings。有很多的设备，它是按照人的身高。电力设备是按人的身高设计的，狗形态的机器人很难够到2米高的电柜。
The committee said the number of lives saved by screening does not outweigh its harmful effects on healthy men.，更多细节参见WPS下载最新地址
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