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.
最终结果就是——两头不靠岸。
，这一点在safew官方版本下载中也有详细论述
집 안 구조를 기억하는 로봇청소기가 외부 서버를 통해 노출될 수 있었다면 어떨까. 개인 개발자 한 명이 DJI 로봇청소기 통신 구조를 분석하던 과정에서 전 세계 약 7000대 기기의 데이터 응답이 확인되며 스마트홈 보안 우려가 커지고 있다. 일부 기기에서는 집 내부 평면도와 청소 위치 정보가 외부 요청에 응답할 수 있는 구조였던 것으로 드러났다.
looks kinda weird
，详情可参考51吃瓜
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Erika is prompted to use their passkey to enable these backups.