除了懂常识，强大的「主体一致性」是这次 Nano Banana 2 更新的另一大杀手锏。
走进甘肃天水麦积区南山花牛苹果基地，勉励“要加强品种保护和培育，优化种植方式，创新营销模式”；
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I’ve got the Peak Design Qi2 wireless charging stand on my desk. It really is a very well-designed piece of equipment. I’ve been a fan of Shokz for a while. I usually prefer to use bone conduction rather than over-ear or in-ear headphones. Now I’ve got their OpenFit earbuds. They’re not bone conduction, but they don’t cover my ears or block out other sounds. They’re really comfortable. And the case nestles perfectly in the indentation in the back of the Peak Design wireless charging stand.
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.