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.
It's also worth noting that Amazon's investment in OpenAI will be staggered. The funding begins with $15 billion, but the remaining $35 billion will only be invested when certain conditions are met.
。新收录的资料是该领域的重要参考
2026-03-02 00:00:00:0本报记者 颜 珂 孙 超3014295610http://paper.people.com.cn/rmrb/pc/content/202603/02/content_30142956.htmlhttp://paper.people.com.cn/rmrb/pad/content/202603/02/content_30142956.html11921 湖南持续用力打造科技创新高地（“十五五”开好局起好步）
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