尽管如此，在夜总会赚钱也比理发店容易得多，也多得多。每晚，她的任务是安静地坐在客人身边，只要一只手搭在客人腿上略表温柔，她就可以整晚发呆、不说话。只有在啤酒溢出杯子的时候，她会拿一块毛巾垫在杯子底下。只要陪客人坐上3小时，她就能赚到500块。
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.
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Александра Лисица (Редактор отдела «Забота о себе»)