With respect to Rust, working with agents and seeing how the agents make decisions/diffs has actually helped me break out of the intermediate Rust slog and taught me a lot about the ecosystem by taking on more ambitious projects that required me to research and identify effective tools for modern Rust development. Even though I have technically released Rust packages with many stars on GitHub, I have no intention of putting Rust as a professional skill on my LinkedIn or my résumé. As an aside, how exactly do résumés work in an agentic coding world? Would “wrote many open-source libraries through the use of agentic LLMs which increased the throughput of popular data science/machine learning algorithms by an order of magnitude” be disqualifying to a prospective employer as they may think I’m cheating and faking my expertise?
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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（二）明知他人从事违法犯罪活动而为其提供个人信息或者数据支持的。
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The rest of the material produces digestate which can be used as fertiliser by nearby farms.，这一点在旺商聊官方下载中也有详细论述
Дарья Устьянцева (редактор отдела «Мир»)