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:
Google 图书是个索引工具,而生成式 AI 直接消化书籍内容,然后输出文字,在某些情况下与作者产生直接竞争。性质变了,但援引的法律逻辑还是同一套,这本身就值得思考。
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