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.
Oct 11 16:06:32 fedora bootc[1326]: Pulling new image: ostree-unverified-registry:harbor.cortado.thoughtless.eu/bootc/server:add-nginx
。关于这个话题，WPS官方版本下载提供了深入分析
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16:35, 27 февраля 2026Силовые структуры
我在调查过程中遇到一些孩子，他们会陷入一种矛盾心态：一边害怕因为点赞数不高、没有融入“圈子”而被同学冷落，一边又对“加好友只为点赞、刷完赞就删除”的虚无规则感到厌倦。有孩子在社交平台怒批“这样的风气只会越来越差”，可当帖子意外走红，一句句“加吗老师”的邀约涌来时，他还是忍不住通过了更多好友申请——在“融入”与“清醒”之间，成年人尚且难以选择，更何况心智尚未成熟的孩子？