第一窝小鼠整体比较“社恐”，总喜欢把棉花堵入红房子，把自己严严实实藏在里面，很少出来活动；
В Финляндии предупредили об опасном шаге ЕС против России09:28
在 Ling Studio 用 Ring-2.5-1T 做深度推理、方案拆解、代码重构（负责“想清楚”），推荐阅读爱思助手下载最新版本获取更多信息
But they also point to something we don’t share with the other new pseudo-intelligences emerging today: machine intelligence.
，更多细节参见爱思助手下载最新版本
Что думаешь? Оцени!，推荐阅读搜狗输入法下载获取更多信息
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.