Зеленский сделал предложение министру из команды Порошенко

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a separate allocator for each of your data structures — or rather, for

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.

A new Cali

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各地区各部门各单位表示,要以“立党为公、为民造福、科学决策、真抓实干”为总要求,坚持学查改一体推进,努力在深学、真查、实改上下功夫见成效。

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As for revenue, OpenAI has forecast a massive loss of $14 billion in 2026. It lost around $5 billion in 2024 and reports estimate a loss of $8 billion in 2025. Despite this trajectory, the company claims it'll be raking in $100 billion in revenue by 2029.

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