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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:
With just your naked eye, tonight you'll be able to see the Mares Tranquillitatis and Crisium. With binoculars you'll be able to see the Mare Nectaris, the Alphonsus Crater, and the Alps Mountains. If you love your moon-gazing gear, get out the telescope to catch a glimpse of and with a telescope you'll see also see the Apollo 15 and 11 landing spots, and the Fra Mauro Highlands.