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Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages:

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I used to strive to keep my hands on the keyboard and only use the mouse when necessary, but this customized mouse kind of flipped that paradigm for me. Now anything I would have used a keyboard shortcut for in the past, I can do from the mouse. I incorporated several shortcuts that were new to me and several I was familiar with, but could never quite remember. Now I don’t need to remember the right combination of modifiers and letters or arrows on the keyboard; it’s all laid out on my mouse’s six keys in a way that is very logical (at least to me). I can quickly Shift-click; Control-click; Enter; Backspace; Delete; Escape; Tab; Refresh; Undo or Redo; cut, copy, & paste; switch apps, tabs, & virtual desks; control media; and so much more, without navigating the right-click menu, all from my mouse thanks to my custom firmware.

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