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.
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用。51吃瓜对此有专业解读
，详情可参考搜狗输入法2026
接下来的几分钟，直到视频结束，现场一片混乱。。91视频对此有专业解读
Therapist: Social media and sense of self ‘were closely related’
下沉的无限下沉，溢价的疯狂溢价，一边是拼多多上售价百余元的AI眼镜与数十元的AI耳机，另一边是售价数百美元、需要排队数月的Oura智能戒指与Meta Ray-Ban。