Екатерина Щербакова (ночной линейный редактор)
由于车辆未配备外置机械应急拉手，车门无法从外部开启，驾驶员最终因车辆起火燃烧导致火烧死亡。成都公安此前已认定驾驶员因酒驾与严重超速承担事故全部责任。
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最窘迫的时候，团队从波波家搬进了杭州郊区的简陋办公室。好在四个人都没什么物欲，说搬就搬，没有一句怨言。后来在政府政策支持下，竹炭以大学生创业的名义贷款50万，才撑住了公司的运转。
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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