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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FT Videos & Podcasts。搜狗输入法2026对此有专业解读
第五条 中央和地方基层群众自治指导监督部门负责指导和监督城市基层群众自治工作。，这一点在safew官方下载中也有详细论述
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Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08，这一点在雷电模拟器官方版本下载中也有详细论述