在基础配置方面，S26 Ultra 和去年的 S25 Ultra 变化不大——
2025年以来全球开源智能体生态的加速爆发。2026年1月走红的OpenClaw项目，以14万GitHub Star和2万Fork的速度，向市场普及了“AI能干活的想象力”，它能跳出浏览器，深入操作系统底层移动文件、管理日历、执行脚本。但OpenClaw直接操作宿主机的模式，也让不少企业在安全层面望而却步。
。WPS下载最新地址是该领域的重要参考
But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.
The Hunt for Dark Breakfast