Analyze engagement metrics
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.
Израиль нанес удар по Ирану09:28，推荐阅读爱思助手下载最新版本获取更多信息
摄像头 AirPods：在现有 AirPods 基础上加入摄像头，主要为 AI 提供视觉信息，而非拍摄照片视频。进展最快，最早可能今年亮相。
。关于这个话题，旺商聊官方下载提供了深入分析
bingbangboom-lab，推荐阅读heLLoword翻译官方下载获取更多信息
一文讀懂特朗普最新關稅措施：他宣佈的最新全球關稅將如何運作？2026年2月22日