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.
食環署也非從未引用現有法律對寵物友善餐廳執法：2025年2月，大埔大元商場一家咖啡廳因兩度被抓獲允許狗隻進入，被法庭定罪罰款後，再被食環署吊銷牌照七天，引起輿論和狗主討論。
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Овечкин продлил безголевую серию в составе Вашингтона09:40
阿里千问将发布多款 AI 硬件
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