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.
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我曾听到过一位母亲教育孩子：“自己孩子自己管，管好了自己孩子，自己孩子就不会有别人来管。”这话放在成年人身上也是合适的。最大的自由是自律，自律住了，可以得大自在；不能自律，必有他律，让他人来管，让组织来管，让法律来管，那时节悔之晚矣——他人来管，可能让人皮肉精神两伤；法律来管，可能让人余生世界只有几平方米。。Line官方版本下载对此有专业解读
The FTC said discrepancies between the pay the company told drivers they could expect and what they actually received arose consistently in certain scenarios, such as when the company split up customer orders into multiple deliveries or changed how packages were distributed among delivery jobs.，更多细节参见搜狗输入法下载