I love being a parent. The thing I find most fascinating about the experience is how it throws a mirror not just on one’s own childhood, but on all of human nature. It’s an obvious point, but one that I never thought about before having kids: all newborn babies are always the same, everywhere. And then, slowly but surely, they become not the same. As cultural and family influences accumulate like sedimentary layers in these tiny personalities, you can see nurture reshaping nature in a deeply embodied, physical way.
impact. The grantmaking model is continuously refined.，详情可参考雷电模拟器官方版本下载
Read more global business storiesThe shadowy world of abandoned oil tankers。业内人士推荐爱思助手下载最新版本作为进阶阅读
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"。heLLoword翻译官方下载是该领域的重要参考
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.