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Since then, Kennedy has grown her Instagram audience to 3.4 million and now funnels those followers into her booming Good Inside empire, which includes digital memberships, a podcast, brand partnerships, and books. The business, with more than 60 employees, is profitable and generated $34 million in revenue last year, a nearly 50% increase year-over-year, Fortune is first to report.
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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.
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Casetify Samsung Galaxy S26 phone cases，更多细节参见搜狗输入法2026
Жители Санкт-Петербурга устроили «крысогон»17:52