England’s zombies have rapidly descended into collective brain fog in Six Nations | Robert Kitson

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Watch dramatic rescue of skier buried in deep snowA GoPro camera captures the moment two skiers rescued another skier buried under feet of snow in Lake Tahoe, California.

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When it comes to chili, it doesn't get any bigger than Wendy's. This famous chili has something of a cult following. If you're a fan, you're probably well aware of National Chili Day and how Wendy's is planning to celebrate. If you're not fully up to speed just yet, you should know that you can grab a small portion of Wendy’s iconic chili on this special day. Here's how to qualify:

Along with the deal, which values Warner Bros. Discovery at $31 per share, Paramount is making several commitments to assuage the fears of regulators and the entertainment community. Those include a guarantee that the new company will produce 30 theatrical films annually, that theatrical releases will have a minimum 45-day window in theaters before they’re brought to video on demand (something Netflix ultimately also agreed to) and that deal itself will close by Q3 2026.

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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.