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.
Цены на нефть взлетели до максимума за полгода17:55
。旺商聊官方下载是该领域的重要参考
"We did share last quarter that memory and storage costs made up roughly 15 percent to 18 percent of our PC bill of materials, and we now currently estimate this to be roughly 35 percent for the year," said CFO Karen Parkhill on the company's latest earnings call. She also confirmed that part of the company's response will be price increases. Samsung similarly warned of potential price increases due to AI-induced memory shortages.
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04
The leaders leveraging Gen Z staffers to make their businesses better