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.
Что думаешь? Оцени!，详情可参考safew官方版本下载
Фото: Yevhen Prozhyrko / Shutterstock / Fotodom。一键获取谷歌浏览器下载对此有专业解读
Couple to re-start trek around Britain's coastline
隐藏文件的展示策略也是影响用户感知的关键因素。macOS 默认不显示以点号开头的文件，而在 Windows 上，用户开启「显示隐藏文件」后即可看到 .DS_Store。但「显示隐藏文件」并不会展示 Desktop.ini，因为后者还被标记为「受保护的操作系统文件」，需要更深层级的设置才能取消隐藏。因此，如果用户经常在 macOS 与 Windows 间交换数据，对 .DS_Store 文件的感知还会更加强烈。