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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В России ответили на имитирующие высадку на Украине учения НАТО18:04，详情可参考heLLoword翻译官方下载
A new LSU research study suggests clustered pits in the Pioneer Terra region on Pluto are related to the dwarf planet's suprising robust atmosphere. The pits resemble gas pockmarks on Earth where methane seeps from the subsurface. These pits may supply atmospheric methane on Pluto.。业内人士推荐Line官方版本下载作为进阶阅读
Victoria and Albert Museum