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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此外，他還承諾降低「壓垮性醫療成本」，稱這是「我們時代最大騙局之一」。他將高昂醫療費用歸咎於《平價醫療法案》（Affordable Care Act，又稱Obamacare），指責保險公司利用該政策致富，讓美國人負擔沉重。