The monthly analysis gave me an idea: could Opus 4.5 design a small webapp to view the top videos by month? That gives me the opportunity to try another test of how well Opus 4.5 works with less popular frameworks than React or other JavaScript component frameworks that LLMs push by default. Here, I’ll try FastAPI, Pico CSS for the front end (because we don’t need a JavaScript framework for this), and HTMX for lightweight client/server interactivity:
{"role": "user", "content": "make it red"}
，更多细节参见heLLoword翻译官方下载
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:
You are now subscribed。关于这个话题，一键获取谷歌浏览器下载提供了深入分析
圖像來源，Enid Din/@enid.din，详情可参考safew官方版本下载
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