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The tech world changes constantly. New hardware, new customer needs, new competitive dynamics. We expect everyone here to grow alongside it. Growth mindset (vs fixed mindset) isn't something we talk about in offsites and forget. We’re energized by learning new things and we aspire to get a little bit better each day.
第三條，何衛東、苗華「嚴重損害部隊政治生態」，而張又俠和劉振立則「嚴重助長影響黨對軍隊絕對領導、危害黨的執政根基的政治和腐敗問題」。
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.