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.
"Unfortunately no organ would save him but it was his final wish that his life should benefit others and indeed 17 people benefitted from him donating all of his organs when he died," she said.
在川渝1000千伏特高压交流输电工程建设中，一次，现场突发放线机故障，出现导线卡住不动的难题。危急时刻，该工程甘孜区域临时党支部书记、党员突击队队长张烨带着8名队员，冒着刺骨寒风攀爬6个小时，到达位于山顶的故障塔位踏勘。。体育直播对此有专业解读
def command_line():，这一点在体育直播中也有详细论述
Сын Алибасова задолжал налоговой более 1,8 миллиона рублей20:37，详情可参考体育直播
Then use Unreal! There's nothing wrong with that, but my projects don't require those kinds of features (and I would argue most of the things I do need can usually be learned fairly quickly).