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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:，这一点在91视频中也有详细论述
一个秘鲁贫民窟的居民，在自己的房子里住了几十年，但当他拿着一张手写“地契”去银行贷款时，那张纸在银行眼里毫无价值。没有正式产权，就无法抵押贷款；没有贷款，就没有创业资本；没有资本，就只能在非正规经济中挣扎。这套住房对他来说只是资产，而不是资本，因为它无法进入市场体系，无法产生流动性，也无法参与资本计算。
Why Denmark is dumping Microsoft Office and Windows for LibreOffice and Linux