I'm Andrew Smith. I live with my partner in Fayetteville, Arkansas, USA. Full-time, I work from home as a network security engineer for the Defense Health Agency, helping to protect the networks of U.S. DoD hospitals and clinics around the world. I'm also a data operations warrant officer in the Army National Guard.
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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:
Pentagon draws scrutiny with Anthropic threats, Defense Production Act