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.
第一百一十五条 公安机关作出治安管理处罚决定的，应当制作治安管理处罚决定书。决定书应当载明下列内容：
，详情可参考51吃瓜
展望长期，两个关键变量值得关注。一是国产存储厂商（长鑫存储、长江存储）的产能提升能否平抑价格。目前看，在LPDDR5X等高端领域，国产渗透率尚低，短期内难以撼动定价权。二是端侧AI能否真正普及，证明“大内存”的体验价值。如果用户花了钱却没感受到AI的便利，后续换机动能将进一步枯竭。
Parser--Crawler: Article