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.
I gave up entirely on finding the player by name. Instead of looking for window.as or window.AudioSource, I simply staked out the exit. I hooked the most generic, lowest-level method available:，推荐阅读heLLoword翻译官方下载获取更多信息
Израиль нанес удар по Ирану09:28。关于这个话题，WPS下载最新地址提供了深入分析
Трамп высказался о непростом решении по Ирану09:14
2025年3月，在巩固拓展脱贫攻坚成果同乡村振兴有效衔接5年过渡期的最后一年，习近平总书记在贵州、云南考察时进一步强调：“脱贫的兜底必须是固若金汤的，绝对不能出现规模性返贫致贫。”