On Friday afternoon, Donald Trump posted on Truth Social, accusing Anthropic, the AI company behind Claude, of attempting to "STRONG-ARM" the Pentagon and directing federal agencies to "IMMEDIATELY CEASE" use of its products. At issue is Anthropic CEO Dario Amodei's refusal of an updated agreement with the US military agreeing to "any lawful use" of Anthropic's technology, as Defense Secretary Pete Hegseth mandated in a January memo, to the frustration of many tech workers across the industry.
Read the full story at The Verge.
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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: