OpenAI has closed another round of funding, totalling $110 billion being newly committed to the maker of ChatGPT, which it says has more than 900 million weekly active users and over 50 million consumer subscribers. Amazon is investing $50 billion and striking a deal that includes plans for custom models and more. Nvidia and SoftBank are each contributing $30 billion, as well, even as the Wall Street Journal notes that Nvidia's previous $100 billion investment plan is "on ice." This marks another massive influx of cash for the company that's now valued at $730 billion, and previously closed a $40 billion round in 2025. At the time, it was th …
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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.。业内人士推荐WPS下载最新地址作为进阶阅读
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