Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
第一百零四条 检查的情况应当制作检查笔录，由检查人、被检查人和见证人签名、盖章或者按指印；被检查人不在场或者被检查人、见证人拒绝签名的，人民警察应当在笔录上注明。
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Овечкин продлил безголевую серию в составе Вашингтона09:40
乔布斯之所以否决一台触控 Mac，其实是因为他想得会更深远一点：如果要为 Mac 增加触控屏，那必须要围绕全新的「触控」交互，大改整个 Mac 的界面，进一步发挥触屏的价值，要不然就不加。
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