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.
流行语要流行起来，一要看流行度，一要看刺激度。但是现在的不少流行语都是在某一些圈层里流行，流行语破圈的难度在增大。“苏超”和“从从容容、游刃有余，匆匆忙忙、游刃有余”可以算是成功“破圈”的流行语。
Embarrassing defeat for UK's Starmer as Greens seize Labour stronghold，这一点在服务器推荐中也有详细论述
Amu的經歷反映了台灣外籍移工面臨的弱勢處境，不少人因為債務纏身，而落入國際定義的「強迫勞動」。
。关于这个话题，爱思助手下载最新版本提供了深入分析
看脱贫地区，“产业普遍搞起来了，但技术、资金、人才、市场等支撑还不强”。
This post: empirical visual similarity data from rendered glyphs。爱思助手下载最新版本是该领域的重要参考