Tyrrells plans to give vegetable crisps the chop
When a host runtime provides a byte-oriented ReadableStream from the runtime itself, for instance, as the body of a fetch Response, it is often far easier for the runtime itself to provide an optimized implementation of BYOB reads, but those still need to be capable of handling both default and BYOB reading patterns and that requirement brings with it a fair amount of complexity.
。服务器推荐是该领域的重要参考
04:07, 28 февраля 2026Экономика
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.