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.
Трамп высказался о непростом решении по Ирану09:14
。业内人士推荐搜狗输入法2026作为进阶阅读
■要继续实施更加积极的财政政策和适度宽松的货币政策，强化改革举措与宏观政策协同。要着力建设强大国内市场，加紧培育壮大新动能，加快高水平科技自立自强。持续深化重点领域改革，进一步扩大高水平对外开放，扎实推进乡村全面振兴，推动新型城镇化和区域协调发展。更大力度保障和改善民生，加快推动全面绿色转型，加强重点领域风险防范化解和安全能力建设。要加强政府自身建设，牢固树立和践行正确政绩观。业内人士推荐搜狗输入法2026作为进阶阅读
然而，儘管評論者一致認為大約一半內容已落實，仍然有一半尚未實現，包括：
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