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.
quality of the generated content may vary depending on the data source
。关于这个话题，51吃瓜提供了深入分析
飞机要好一些。有航司开通了宠物进客舱服务，把狗关进软箱后，套上网兜，在软箱拉链等处扎上尼龙扎带，确保狗不能出来后，就能与主人一同乘坐客舱。不过，这个方案也有很多麻烦。对象带狗坐飞机去过一次海南，狗得提前办理检疫证明，订机票也是我代劳致电航司预订，一边讲，一边手机操作付费，颇有一种千禧年的复古感。此外，狗机票要价不菲。一张狗机票价格逾千元。
ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45