In the months since, I continued my real-life work as a Data Scientist while keeping up-to-date on the latest LLMs popping up on OpenRouter. In August, Google announced the release of their Nano Banana generative image AI with a corresponding API that’s difficult to use, so I open-sourced the gemimg Python package that serves as an API wrapper. It’s not a thrilling project: there’s little room or need for creative implementation and my satisfaction with it was the net present value with what it enabled rather than writing the tool itself. Therefore as an experiment, I plopped the feature-complete code into various up-and-coming LLMs on OpenRouter and prompted the models to identify and fix any issues with the Python code: if it failed, it’s a good test for the current capabilities of LLMs, if it succeeded, then it’s a software quality increase for potential users of the package and I have no moral objection to it. The LLMs actually were helpful: in addition to adding good function docstrings and type hints, it identified more Pythonic implementations of various code blocks.
音頻加註文字，陸劇《甄嬛傳》「馬拉松」如何成為台灣年輕人過年的「文化習俗」？
。业内人士推荐同城约会作为进阶阅读
Advanced content generation，详情可参考服务器推荐
BRT — 11 a.m.，详情可参考搜狗输入法2026
Not a fan of AI? Tired of every app and device adding some sort of AI functionality?