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.
CopySmith is an AI content generator that can be used to create personal and professional documents, blogs, and presentations. It offers a wide range of features including the ability to easily create documents and presentations.
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我們需要對AI機器人保持禮貌嗎？
当通用对话模型的及格线被拉平，巨头与创企们不约而同地将目光投向了下一个战略高地，也就是垂直专业领域，尤其是代码（Coding）与智能体（Agent）赛道。与吟诗作对的闲聊不同，写代码和执行复杂任务，要求模型必须具备慢思考的能力。而这也是检验大模型是否能从“玩具”变成“生产力工具”的唯一标准。