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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:
Anthropic was the only AI company cleared for use in classified settings—until Elon Musk’s xAI agreed to let the Pentagon use its AI in lawful situations. Google and OpenAI are used in unclassified settings but are in talks with the Defense Department about classified work.