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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张弛从“谁规划营建了凌家滩”的追问出发，循着聚落格局、祭坛墓葬分布等多方材料，一步步揭示了5500多年前凌家滩先民惊人的城市规划意识和超大规模的社会动员能力。，这一点在旺商聊官方下载中也有详细论述