Remind me of this: https://www.nature.com/articles/s41586-022-05172-4 https://www.nature.com/articles/s41586-022-05172-4 > Improving the efficiency of algorith

Remind me of this: https://www.nature.com/articles/s41586-022-05172-4 https://www.nature.com/articles/s41586-022-05172-4 > Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one such primitive task, occurring in many systems—from neural networks to scientific computing routines. [...] We further showcase the flexibility of AlphaTensor through different use-cases: algorithms with state-of-the-art complexity for structured matrix multiplication and improved practical efficiency by optimizing matrix multiplication for runtime on specific hardware. Our results highlight AlphaTensor’s ability to accelerate the process of algorithmic discovery on a range of problems, and to optimize for different criteria. And I'll emphasis this sentence, as it seems to be the main goal/critics of the author in this post: > improved practical efficiency by optimizing matrix multiplication for runtime on specific hardware.