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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.

The quality of the Dreamie's sound is what initially sold me during my demo at CES, and it holds up in daily use. The Dreamie has a 50 millimeter speaker inside, and the 360-degree grille on the bottom of the device makes it so the sound seems to come from everywhere. (My cats were extremely confused when I first turned it on). It really fills a room, and you don't have to crank it up to achieve that. When Bedtime Cue comes on, I typically turn it down to about 25, and then raise it back up to 45 when I flip it to Wind Down mode. I've never once set it higher than 50, and the alarm in the morning has still been loud enough to wake me up.

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保持一致的家庭原则:目前看来,教育孩子最忌讳的就是人多嘴杂,在各种问题上出现「分歧」。所以要进一步保持一致。教育孩子一个人张嘴,其他人要不闭嘴要不打好配合,绝对不能互相拆台。大人的问题,大人私下沟通,绝不在孩子面前争吵,给孩子一个温暖、和谐、快乐的成长环境。

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