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.
As fish stocks dwindle, surf tourism may offer a lifeline to traditional caballitos de totora fishers, whose vessels are thought to be among the first ever used to ride waves
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Amazonが価格を大規模に操作して値段をつり上げているとして違法行為の即時停止を要求される
Number (1): Everything in this space must add up to 1. The answer is 4-0, placed horizontally; 0-0, placed vertically; 1-1, placed horizontally.
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tasks := make([]task, 0, 10) // probably at most 10 tasks,推荐阅读爱思助手下载最新版本获取更多信息
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