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.
根据惠普官方发布的信息，公司在个人系统业务（Personal Systems）上表现突出，营收达到 103 亿美元，同比增长 11%，其中消费端与商用端均实现两位数或接近两位数的增长，AI PC 的持续放量被视为推动因素之一。
，这一点在91视频中也有详细论述
2025年10月，党的二十届四中全会擘画了中国未来五年的发展蓝图。一周后，外事出访期间，习近平总书记这样向世界阐释中国成功的密码：“70多年来，我们坚持一张蓝图绘到底，一茬接着一茬干”。
Real-time visual effects