{ 63, 31, 55, 23, 61, 29, 53, 21 } };
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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节日期间，海南区域门店也统一张贴「迎福贴」并设置「财运接头处」，强化节日体验。
12+[cal]: https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202520260AB1043
Late flurry of runs from all-rounders proves crucial