The bandwidth problem
但无论如何，如果这条路跑通，苹果最恐怖的「生态护城河」将顺势流淌进 AI 时代，与之相随的，是数十亿用户的肌肉记忆和操作习惯。这对于任何一家致力于打造 AI 硬件的厂家来说，都是致命威胁。
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Затем Елизавета подала на развод. Жить они начали раздельно, но бывший сотрудник ГАИ несколько раз врывался к ней домой и избивал ее на глазах у ребенка.
When a crash happens, we don’t just get an error message. We get a crash log containing the initial input and the execution trace complete with all outputs.
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.