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.
Afghanistan has become Indian 'colony' - Pakistan
，更多细节参见搜狗输入法2026
12月20日，民航西藏机场集团通报，20日，西藏航空TV9873航班在拉萨贡嘎国际机场起飞过程中遇鸟击，机组立即决定返航，飞机安全落地，无人员受伤。经机务现场勘查，飞机驾驶舱左座风挡玻璃等部位有鸟类残骸及血迹，飞机各项参数正常、无损伤。SourcePh" style="display:none"
Ранее стало известно, что сильнее всего за год новостройки в Москве подорожали в районе Филевский парк, а готовые квартиры — в районе Марфино.
Россиянам пригрозили тюрьмой за неправильную пропискуЮрист Русяев: За фиктивную регистрацию собственник жилья рискует сесть в тюрьму