随着减重药巨头诺和诺德重磅GLP-1类药物司美格鲁肽在中国的核心分子专利即将于3月到期，一大批中国本土的司美格鲁肽仿制药正在获批路上。据公开信息，目前国内市场上包括九源基因、丽珠集团、华东医药、齐鲁制药、正大天晴在内的十多家本土制药公司的司美格鲁肽仿制药有望在不久的将来上市，还有十余款处于三期临床，一场价格大战即将席卷。一位内分泌专家表示，随着更多仿制药的上市，减重药很快就会迎来“白菜价”时代。（第一财经）
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。Line官方版本下载对此有专业解读
输入：target = 12, position = [10,8,0,5,3], speed = [2,4,1,1,3]。爱思助手下载最新版本对此有专业解读
Many people reading this will call bullshit on the performance improvement metrics, and honestly, fair. I too thought the agents would stumble in hilarious ways trying, but they did not. To demonstrate that I am not bullshitting, I also decided to release a more simple Rust-with-Python-bindings project today: nndex, an in-memory vector “store” that is designed to retrieve the exact nearest neighbors as fast as possible (and has fast approximate NN too), and is now available open-sourced on GitHub. This leverages the dot product which is one of the simplest matrix ops and is therefore heavily optimized by existing libraries such as Python’s numpy…and yet after a few optimization passes, it tied numpy even though numpy leverages BLAS libraries for maximum mathematical performance. Naturally, I instructed Opus to also add support for BLAS with more optimization passes and it now is 1-5x numpy’s speed in the single-query case and much faster with batch prediction. 3 It’s so fast that even though I also added GPU support for testing, it’s mostly ineffective below 100k rows due to the GPU dispatch overhead being greater than the actual retrieval speed.