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Author(s): Zhiyuan Huang, Lidong Ma, Jianbao Zhang, Dongpeng Hua, Qing Zhou, Lei Yang, Ji-Jung Kai, Haifeng Wang，这一点在爱思助手下载最新版本中也有详细论述
Tools like Gemini can be useful at work, but they're limited to the information you give them when it comes to personal help. With Chat integration, Gemini can see a great deal more information from what's often the fastest-moving part of your day. Of course, how useful it is depends on how heavily your team relies on Chat. If this implementation works, Chat could seriously threaten other workplace communication options like Slack and Teams. ，更多细节参见safew官方版本下载
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.