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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在传统存储产品方面，10nm以下DRAM制造工艺正成为主流，并逐步向7nm工艺突破，通过“FinFET架构+TSV技术”提升密度、降低功耗。3D NAND堆叠层数突破400层后，“垂直堆叠”难度加剧，厂商转向“水平扩展+架构优化”，比如三星V-NAND的阶梯式架构、Kioxia的BiCS架构，同时引入“HKC（高K介质+金属栅）”技术，解决高层数堆叠的漏电、散热问题，制造工艺从“层数竞赛”转向“架构+工艺”双重竞争。
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并且在全屏防窥模式打开之后，由于关闭了 50% 的屏幕像素，S26 Ultra 的亮度和显示精细度也会有所衰减，虽然有 2K 分辨率打底，关闭一半像素之后的效果也和 S25 Ultra 贴个很烂的防窥膜差不多了。
Марина Совина (ночной редактор)。im钱包官方下载对此有专业解读