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.
2、新的鸿沟出现了从移动互联网到当下的AI时代，技术飞速迭代，老年人似乎总是每一轮技术浪潮里的最后一朵浪花。
。业内人士推荐WPS下载最新地址作为进阶阅读
Медведев вышел в финал турнира в Дубае17:59
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到了守岁的十二点了，又要放鞭炮，我没再追问宴席的细节。阿爸把那挂红鞭炮提到门口，鲜红的一长串，铺在水泥地上。火星一路蹿过去，红纸炸开，碎屑落满一地。