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.
分析指出，受人工智能任务对先进存储芯片需求的持续挤压，全球存储供应极度紧张，迫使手机制造商调整业务策略，削减利润微薄的入门级机型并推动消费者转向高端设备。
「中国铁路」公众号发布的文章显示，铁路 12306 技术中心对相关订单进行了核查，确认候补流程正常、通知及时，所谓「作废」系误读。，详情可参考搜狗输入法2026
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Even expanding her search to healthcare, where she previously worked and which is considered one of the economy's most resilient sectors, has not helped.
ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45，更多细节参见快连下载安装