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.
The FTSE 100 is sailing ever higher on a big wave of enthusiasm for London listed stocks. The blue-chip index has opened at fresh record levels. It’s been on a breathtaking run upwards, accelerating its surge higher since the start of the year, rising by more than 9%. Momentum appears to be on its side with the psychologically important 11,000 mark now in its sights. Its mining constituents have been benefitting for demand for metals in particular, as signs indicate that a commodities super-cycle is underway, with huge demand for metals and minerals needed to power the green revolution and build AI infrastructure. Geopolitical tensions and rising debt levels are keeping demand for safe precious metals intact, while defence contractors continue to benefit from the big uplift in spending on military capabilities.
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access to Emacs functions … write your shell scripts in Lisp?
Need something brilliant to read this weekend? Here are six of our favourite pieces from the last seven days
depending on the prompt given.