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.
Polaroid Go (second-gen)
You never knew exactly what you were going to get. I remember one program listing printed on the side of a bird that, when run, produced a series of wild chirping noises from the Apple’s speaker. And this was from a program that was only five to ten lines long. As a neophyte BASIC programmer myself, I was stunned and amazed. How could you make something this cool with this small amount of code? […]，这一点在雷电模拟器官方版本下载中也有详细论述
增值税法第二十二条第三项所称非正常损失项目，包括：，更多细节参见91视频
Fermaw also, it seems, started obfuscating and scrambling how his player was initialised, making the AudioSource class harder to find via the polling loop. The constructor hijack became unreliable.
pkg -y install frp。谷歌浏览器【最新下载地址】对此有专业解读