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.
「我在高二的時候，參觀了高雄歷史博物館的展覽，這才知道，二二八事件的時候，在高雄發生了大規模的屠殺，這才讓我真正踏進理解二二八的道路。」22歲的許靜玟發現，這個事情就發生在她熟悉的街頭，而她卻不知道，這個念頭讓她心生愧疚，才進一步研究跟了解高雄二二八事件。大學生陳彥蓉則是受香港反送中示威影響，才對二二八事件有感。她說，家人從不談政治，但升高中時香港爆發反送中運動，她那客家背景的母親因為關心這個議題，產生比較強的社會意識，甚至帶家人到電影院觀看電影《返校》。《返校》是以白色恐怖時期的告密者為核心的電玩遊戲，因為大受歡迎而被改編成電影，在當時成為熱門話題。陳彥蓉覺得電影有趣，讓她對過去歷史產生興趣。，详情可参考同城约会
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Visual representation of an RGB colour cube that has been equally divided into 216 coloured boxes (6 levels along each axis).
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