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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Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36
To make my experiment more compelling, one should try to implement a Z80 and ZX Spectrum emulator without providing any documentation to the agent, and then compare the result of the implementation. I didn’t find the time to do it, but it could be quite informative.