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.
她希望在游戏里，这个陷入低谷的角色能在玩家的陪伴下重新找到生活的意义。但团队其他成员担忧，这个角色的缺陷过于尖锐，负面情绪太重，会让玩家感到不适。经过多次沟通，她们最终达成共识：保留角色的矛盾感与成长性，适当削弱过于尖锐的部分。，更多细节参见safew官方版本下载
16 February 2026ShareSave，更多细节参见heLLoword翻译官方下载
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