Freed: 126.9 MB (pkgcache branches: 0)
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.
。一键获取谷歌浏览器下载对此有专业解读
As the economy grows increasingly reliant on spending by the very wealthy, it has also become more vulnerable to a sudden downward correction in share prices.
如上图所示，根据以往的模式，存储器市场增长率呈现四年周期性波动，在2017年中期达到峰值，2019年中期触底，2021年下半年再次达到峰值，2023年中期触底。按照这种模式，人们可能会预期峰值出现在2025年，谷底出现在2027年。
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