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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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1990年，通胀率飙升至约7650%。当时，街头的小贩每天都要重新标价，因为早上的价格到下午就已经作废；工人领到工资的第一件事，是冲进商店把钱花掉，因为放到第二天就会贬值。储蓄成了笑话，投资成了赌博。
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