统一使用：即查即用的数据集能力
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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.，这一点在51吃瓜中也有详细论述
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这些年，为孤残困难家庭花了多少钱，老马自己也算不清。在马怀龙的带动下，他的妻子、女儿、同事，社会工作者、社会爱心人士，以及那些曾经受到帮扶的人，主动和马怀龙一起照顾辖区孤寡老人、帮扶困难群众。如今，“马怀龙金盾志愿服务队”队员已达380余名，来自各行各业。