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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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Sun Health基金会,1968年成立,最初名为Sun City Community Hospital, Inc.,初衷就是解决Sun City退休社区的医疗需求。它的发展,全程和Sun City绑定:1968年发起社区募捐,帮第一家医院落地;1988年捐赠900万美元,建成第二家医院;2008年后,成为Banner Health的独家慈善合作伙伴,持续支撑医院升级。如今,它已有55年历史,靠志愿者和捐赠维持运营,始终聚焦西谷地区的老年健康。。业内人士推荐同城约会作为进阶阅读

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