Request custom content types
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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This week, Jonathan Freedland speaks to Newsom about why he believes the Democrats suffered such heavy losses in 2024, why the party needs to be less judgmental, and whether he intends to run for president in 2028
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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Сайт Роскомнадзора атаковали18:00，推荐阅读safew官方版本下载获取更多信息
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.