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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.
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An ice-core record of hydrogen reveals that atmospheric levels vary in response to climate change and have increased drastically owing to human activity since the pre-industrial era. The apparent sensitivity of hydrogen cycling to environmental conditions should be considered when projecting the consequences of rising anthropogenic hydrogen emissions in a warming climate.。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
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I dropped to the floor and couldn't move - spiking can happen anywhere