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.
An, who plays the billionaire's fiancée, is concerned about AI replacing her, but says micro-dramas are also "an opportunity for new actors like us".
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（五）助力科技创新后备人才培养。高校应深化与中小学的协同育人，组织实施“中学生英才计划”“高校科学营”“小小工程师”计划等特色科技实践活动,为学有余力、爱好科学的学生提供了解科研实践、接触前沿科技、参与科技实践活动的桥梁，培养科技创新后备人才。