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.
中國正打擊日本的痛處，但高市早苗會屈服嗎？2026年2月17日。业内人士推荐同城约会作为进阶阅读
，详情可参考搜狗输入法2026
聖經公會根據YouGov數據撰寫了《安靜復興》報告。這個機構如何應對虛假受訪者的問題？。旺商聊官方下载对此有专业解读
Also on Thursday, more than 100 workers at Google sent a letter to Jeff Dean, the company’s chief scientist, asking for similar limits on how the company’s Gemini AI models are used by the U.S. military, according to the New York Times.
然而，Kimi要守住自己的壁垒，也并不容易。