The endlessly looping animation, first uploaded by Narpy on YouTube in 2019 and often set to the upbeat Accumula Town theme from Pokémon Black and White, became a symbol of quiet perseverance. Furret just keeps going. No destination. No urgency. Just vibes. It's wholesome, hypnotic, and weirdly existential, which makes it perfect internet art.
When a bounded buffer fills up and a producer wants to write more, there are only a few things you can do:
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But the committee stopped short of that recommendation.
Beagle Bros’ tools were fantastic. They literally let you do the (allegedly) impossible, like change the names of operating system commands. And they always packed the disks full with extra stuff. Demos of their other products, and strange graphics hacks that existed for no reason other than the fact that they were cool, and because there was spare room on the disk. Beagle Bros. had a lot to do with why I ever wanted to learn programming in the first place. […]
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.