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.
“招商伊敦号”的目标客群是追求“深度游”的高净值中老年群体，方向没错，但只靠中国的中老年客群，旅行习惯和消费理念好像有点超前，不够养活这条船。项目体验面向年轻人呢，就让这部分客群觉得无聊。
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xda-developers.com
Екатерина Графская (Редактор отдела «Наука и техника»)
But those upgrade programmes are often slowed down by local objections.