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.
Feb 27, 2026 4:36 AM
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Also: I found the best Linux server distros for your home lab
微软表示，一块 120mm 见方、2mm 厚的硅酸硼玻璃可存储约 4.8TB 数据，相当于约 200 万本印刷书籍的内容。团队在加速老化实验中推算，在 290℃ 条件下数据可保存 1 万年以上，而在室温下寿命将更长。