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.
根據媒體報道，自2023年以來，警方已就至少19名被當局稱為「潛逃者」的人士，向最少50名家屬問話，範圍涵蓋直系親屬、堂表親及姻親。
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This would allow for precise predictions of landing locations, reducing the risk of any debris impacting populated areas and protecting people and property while "managing the environmental impact of space debris".。关于这个话题，搜狗输入法2026提供了深入分析
В России сняли с продажи скандальную книгу СорокинаКнигу Владимира Сорокина «Голубое сало» сняли с продажи из-за риска претензий