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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.，详情可参考快连下载安装
在 AI-Native 时代，开发者的角色正在从“代码编写者”向“架构设计者”转变。Claude Code 作为 Anthropic 推出的下一代命令行 AI 助手，不仅仅是一个代码补全工具，更是一个具备 Agentic Workflow（代理工作流）能力的智能终端。