One day, I will start my last project. I may or may not finish it. But after it's done, either due to tragedy, falling out of love with the craft, or simply not having time left to start another one, I will put my computer and notebooks down for the last time. That's life.
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.
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For a game to legally be counted as "gambling" in most jurisdictions, it has to pass a three-part test: a player has to pay money (1) for an outcome that's materially determined by chance (2) in the hopes of receiving something of value (3). While buying a key to a loot box in a Valve game easily passes those first two tests, New York's legal case will likely hinge on whether the random cosmetic items players get from those loot boxes constitute "something of value" for statutory purposes.
第七条 有关行政机关、企业事业单位应当依法做好原子能研究、开发和利用活动中安全监督管理、环境影响评价等方面的信息公开工作。