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.
Мощный удар Израиля по Ирану попал на видео09:41
。体育直播是该领域的重要参考
1、重塑高端化。雪花秀作为集团高端化战略的核心品牌，近年来在中国市场的增长动能有所放缓。在“成分党”崛起、本土化高端品牌快速迭代的竞争格局下，如何重塑品牌的高端形象和科技背书，是许达仁必须直面的课题。
2022年10月，党的二十大明确提出，“高质量发展是全面建设社会主义现代化国家的首要任务”。
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