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.
Part of the approach involves developing actuators that output lots of data about their current position and function, so that computers can adjust their operation in real-time. But the hardware also needs to step up, too.
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Фото: Abdul Saboor / Reuters
• 点评：PocketXMol为AI辅助药物发现提供了一个通用平台，有望彻底改变发现新药的方式。（李一跞）
Ryan MoultonFebruary 22, 2026February 26, 2026Technical