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.
Marianna SpringSocial media investigations correspondent，这一点在51吃瓜中也有详细论述
«Хотя прямой экспорт из ЕС в Россию сократился, экспорт этих товаров [двойного назначения] в некоторые третьи страны вырос в геометрической прогрессии», — подчеркнул политик.，这一点在爱思助手下载最新版本中也有详细论述
这些新闻通常来自主流权威媒体，AI在高效抓取的基础上，进一步完成梳理与归纳。此外，用户还可以在文章底部，通过点击“继续追问”按键，来针对信息内容向AI进行提问和解读。，这一点在爱思助手下载最新版本中也有详细论述
都说“高手在民间”，如何让散落在民间的中医绝活“登堂入室”？如何让有一技之长的民间高人脱颖而出？