美国：企业自救，市场化封闭生态
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.
，更多细节参见WPS下载最新地址
3. You want a better-performing smartphone The new Qualcomm Snapdragon 8 Gen 5 Elite chipset has already set benchmark records compared with previous versions, and we expect it to outperform Google's Tensor G5 in general performance and power management. This goes hand in hand with Samsung's upgraded 60W wired charging rate, which lets the S26 Ultra top up from 0 to 75% in half an hour.，这一点在同城约会中也有详细论述
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