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We learned last year that Block had developed an AI agent called "codename goose" for interacting with LLMs. Leadership is clearly putting high expectations on that project and any other in-house tools to fill the shoes of thousands. "intelligence will be at the core of how the entire company works. How we make decisions, how we build trust and manage risk, how we build products, and how we serve customers," the shareholder letter states.
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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:。服务器推荐对此有专业解读
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