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.
守住纪法底线,确保监督执纪不越位。数字技术只是辅助工具,必须在纪法框架内运行。不管是数据采集还是线索核查,都要严格遵循党章党规和法律法规,不能打着“科技赋能”旗号随意扩大监督范围,更不能用技术手段突破纪法红线。比如,在开展数据核查时,要严格履行审批程序,确保每一个环节都经得起纪法检验,实现政治效果、纪法效果和社会效果有机统一。
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