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.
在這波補課潮下，還是大學生的李靜玟提出反問：與其受到一部傷害台灣社會的電影影響而去補課，為什麼不一開始就把這門課學好？但她也認為，對這個社會而言，補課是遲早的事情，「如果傷痕沒有被好好的撫平，歷史的真相沒有被社會所看見，那這話題爭議就會像舊傷復發一樣，反覆發生。」
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So, a lot of attention will be paid to the latest version of Tesla's humanoid robot, Optimus, when it is launched this year.
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