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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.，更多细节参见51吃瓜
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报道同时提到，米哈游近年来多次公开表达对生成式 AI 的投入，包括去年发布的虚幻引擎 5 大型 MMO 项目预告片中展示的「人工智能生态模拟系统」「全地形战斗 AI」及「高智能 NPC」等特性。