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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.。关于这个话题，豆包下载提供了深入分析
"Integrating these revised immigration metrics into our comprehensive model—which accounts for fluctuating labor participation rates—produces significantly lower employment equilibrium figures than prior assessments," the report stated. "The equilibrium rate reached its zenith at 250,000 monthly positions in 2023, diminished to approximately 10,000 by mid-2025, and approached zero thereafter, averaging negative 3,000 positions from August through December 2025."
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