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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Assembly Bill No. 1043 was approved by California governor Gavin Newsom in October of last year, and becomes active on January 1, 2027 (via The Lunduke Journal). The bill states, among other factors, that "An operating system provider shall do all of the following:"
从中长期来看，纯粹押注 AI 颠覆一切的逻辑，和积极拥抱 AI 同时牢牢握住核心数据护城河的行业巨头，是两种截然不同的命运路径。前者的叙事更性感，后者的胜算或许更大。