Neanderthal dad, human mum: study reveals ancient procreation pattern

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너에게 빅뱅 같은 일출을 줄게[여행스케치]

The hospitals where waiting times are getting worse. Is yours one of them?

T来到兑现前夜。关于这个话题,雷电模拟器官方版本下载提供了深入分析

2025年,京津冀三地地区生产总值分别比上年增长5.4%、4.8%和5.6%,协同发展效能持续释放。。关于这个话题,体育直播提供了深入分析

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.

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