xAI spent $7M building wall that barely muffles annoying power plant noise

· · 来源:dev资讯

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我其实分不清,阿爸说的开心,是真的还是假的。活了快三十年,我和他真正待在一起的时间,加起来可能不到两年。我们通电话,通常不超过五分钟。他在外地的时候,每天轮流给我、阿弟、阿妈打电话,雷打不动。我们也雷打不动地敷衍。有时候阿弟嫌烦,把他拉黑,他打不通,只能借阿妈的手机转一圈。

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"When you look at the date on the bottom of the 16oz bottles, some were manufactured in the 1960s and 70s. It's really cool to see them still going through our washer today. We'd love to keep the tradition alive as long as we can."

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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