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.
另外，产品的价格带也在发生变化。2024年，售价3000元以上的高端产品占据市场54%的份额，但到了2025年，千元以下产品成为主流。价格带的下移，一方面说明市场正在走向大众化，另一方面也反映出竞争的加剧。
Christian Davenport，这一点在雷电模拟器官方版本下载中也有详细论述
Downloading from 'updates'... done。搜狗输入法2026对此有专业解读
suggestions may not always be accurate or appropriate
Critical but Fragile Infrastructure，这一点在91视频中也有详细论述