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.
Apple computersThe answer is Macs.
，更多细节参见51吃瓜
触控能力将推动 macOS 引入全新的动态界面：系统会根据用户的操作方式在界面更大的触控模式与传统鼠标点按模式之间切换。系统还将支持与 iPhone、iPad 类似的快速滚动与双指缩放。
FT App on Android & iOS。服务器推荐对此有专业解读
automate the process of creating written or spoken content，这一点在爱思助手下载最新版本中也有详细论述
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