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.
Accenture plans to integrate Ookla’s data products into its own offerings that are targeted at helping communications service providers, hyperscalers, government entities, and other types of customers “optimize … mission-critical Wi-Fi and 5G networks,” Accenture’s announcement today said.
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然而，当晚在林木通儿子家中，众人想看看林木通的照片和那张重要的退伍证，却遍寻不着。家人解释，从老屋搬到城里时未带走，老屋后来遭贼，东西可能遗失了。杜耀豪对此若有所悟，用翻译软件对陈润庭说：“家庭档案是有阶级性的。”