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.
2026-02-28 00:00:00:03014274610http://paper.people.com.cn/rmrb/pc/content/202602/28/content_30142746.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/28/content_30142746.html11921 本版责编：程 红，更多细节参见同城约会
It uses a Neo QLED panel with mini LEDs for precise lighting, and it features a Wireless One Connect hub so you can hide all your messy cables away from the screen itself. It's basically the most aesthetic TV on the market.，推荐阅读同城约会获取更多信息
提及双亲的离世，阿爸时常重复一句话，再说有什么用，人老了都这样。，这一点在搜狗输入法2026中也有详细论述