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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.

VITURE首创“颈挂计算单元+眼镜显示器”架构,成功将XR眼镜从投屏工具的尴尬定位中解放出来,转变为完整的沉浸式娱乐设备,支持云游戏、Switch等多平台应用,满足用户在游戏、观影、办公等场景下的需求。作为XR领域增长最快的公司之一,VITURE正在打破仅用于娱乐的消费电子产品这一狭窄类别,在游戏、生产力和企业XR领域拓展边界。

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