演說頻頻被共和黨議員的歡呼打斷，但在特朗普談到關稅時，引發民主黨低語，以及共和黨議員的不自在沉默——許多共和黨人對關稅的經濟成本感到不安，也擔心其不受歡迎會影響選舉前景。
char phase[num_classes] = {0};
。夫子对此有专业解读
Not allowing the agent to access the Internet, nor any other compiler source code, was certainly the right call. Less understandable is the almost-zero steering principle, but this is coherent with a certain kind of experiment, if the goal was showcasing the completely autonomous writing of a large project. Yet, we all know how this is not how coding agents are used in practice, most of the time. Who uses coding agents extensively knows very well how, even never touching the code, a few hits here and there completely changes the quality of the result.
송광사 찾은 李대통령 내외…“고요함 속 다시 힘 얻어”
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: