Более 100 домов повреждены в российском городе-герое из-за атаки ВСУ22:53
Иран назвал путь к прекращению войны14:05
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更深层的原因在于生态的差异。与美国碎片化的应用生态不同，中国的腾讯、阿里、字节，每一个都拥有无所不包的“超级入口”。在这种土壤下，AI在中国最顺滑的落地方式，不是创造一个新入口，而是嵌入已有的超级入口。
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.