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.
（五）在公共场所或者强制他人在公共场所穿着、佩戴宣扬、美化侵略战争、侵略行为的服饰、标志，不听劝阻，造成不良社会影响的。
。搜狗输入法2026对此有专业解读
Those who do not to take up the offer could face being stripped of their benefits.
Lex: FT's flagship investment column
Nearly £50m of taxpayers' money has been paid by the NHS to an outsourced firm assessing claims of medical harm caused by vaccines, the BBC has found.