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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。safew官方版本下载是该领域的重要参考
Americans are destroying Flock surveillance cameras
Глеб Макаревичсотрудник Центра Индоокеанского региона ИМЭМО РАН
▲METR 此前的研究显示 AI 工具对开发人员生产力的影响，导致生产力下降了 20%；但 METR 表示现在这一发现已经过时，生产力提升似乎更有可能｜图片来源：https://x.com/METR_Evals/status/2026355544668385373/