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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Most ergonomic keyboard layouts fall into two categories: unibody (or Alice) and split. The former is a single board with the two halves of the keys rotated about 30 degrees apart at the bottom. The separation forms an A-shaped space between the keys — which has nothing to do with why it’s called an Alice layout, it’s just a happy coincidence. This subtle tweak pushes your elbows away from your ribs while keeping a straight line from your forearm to your middle knuckle. Using one, I pretty instantly felt more open along the front side of my body. This layout more closely resembles a traditional keyboard, so it should be easier for most folks to get used to than a fully split option.。业内人士推荐搜狗输入法下载作为进阶阅读
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