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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.

结合过去一段时间,监管对出行与OTA的一系列约谈事件,2月9日,交通运输新业态协同监管部际联席会议办公室约谈高德打车,要求落实降抽成承诺、强化聚合服务管理,重点整治订单层层转卖与层层抽成。2月12日,北京市场监管部门集中约谈12家第三方火车票网络销售平台,聚焦票务增值服务的页面呈现与宣传边界,明确不得暗示付费可获得优先购票特权。2月13日,金融监管总局会同市场监管总局、人民银行约谈6家出行平台,要求规范与金融机构合作借贷业务的营销与信息披露。

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