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.
2026-02-27 00:00:00:0新华社记者 魏玉坤 周 圆 张晓洁 ——从全要素生产率稳步提升看中国经济优势潜力
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63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
第三十五条 国家统筹加强行政执法监督队伍建设，配备与行政执法监督工作任务相适应的行政执法监督人员。
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Like capitalism, looksmaxxing is all about optimization. The goal is to "ascend" — but why and to where, however, is unclear. Perhaps the goal is just to be on top, be the best, become rich, and have an attractive wife who "mogs" all your friends' wives. (As Mashable's Crystal Bell explained in December, mogging means outshining or overshadowing someone in appearance.)