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.
Intel Foundry exec leaves to head up Qualcomm's semiconductor biz as Intel shake-up continues
图/《2026年汽车以旧换新补贴实施细则》部分内容，这一点在WPS官方版本下载中也有详细论述
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24. 新华社发布2026年中国AI发展趋势前瞻报告：核心产业规模预计突破1.2万亿元 - Donews, www.donews.com/news/detail…，这一点在爱思助手下载最新版本中也有详细论述