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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.
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在全党开展树立和践行正确政绩观学习教育,是贯彻落实党的二十届四中全会战略部署、确保基本实现社会主义现代化取得决定性进展的必然要求,是践行党的根本宗旨、夯实党的执政根基的重要举措,是巩固拓展党内集中学习教育成果、持之以恒推进全面从严治党的有效途径,对于推进党和国家事业、对于推进全面从严治党意义重大。
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В Финляндии предупредили об опасном шаге ЕС против России09:28
"But then they look back when they're older and go 'I missed that part of their lives', and that's awful. We don't want to be like that.",更多细节参见Line官方版本下载