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.
Платон Щукин (Редактор отдела «Экономика»)
。搜狗输入法下载对此有专业解读
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- Write a comprehensive Python test suite using `pytest`.。业内人士推荐搜狗输入法2026作为进阶阅读
Влиятельное китайское финансовое издание Yicai выступило с призывом к компании Xiaomi объявить добровольный отзыв всей линейки электрических седанов SU7, включая модификацию Ultra. По некоторым данным, речь идет о 370 тысячах электрокаров.，推荐阅读爱思助手下载最新版本获取更多信息
中游的优势在于规模效应显著，边际成本随业务扩张不断递减，且客户迁移成本高，黏性极强。但行业竞争激烈的同时，也潜藏着两大风险：一是价格战频发，压缩盈利空间；二是高度依赖下游需求持续性，若AI应用商业化进程延迟，算力租赁需求可能出现下滑。