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.
创新科技展区并非对现有展区的简单补充，而是与AWE既有板块形成清晰分工与有机协同，共同构成了AWE智慧生活生态。相较于以智能白电、家庭场景化解决方案为核心的智能家电展区，以消费电子、软硬件融合为重点的智能科技展区，以及厨电、卫浴和健康电器所组成的智慧健康展区，创新科技展区将重点覆盖具身智能与机器人、AI硬件、新型人机交互、前沿视听与智能娱乐等方向，重点展示正在快速走向应用化与商业化的先进技术形态与产品，呈现当前全球消费电子与智能产业竞争中最具变量和想象空间的关键赛道。
。关于这个话题，safew官方版本下载提供了深入分析
Мощный удар Израиля по Ирану попал на видео09:41
The family resemblance with his father is clear in a promotional photo from his record label