https://github.com/DenisovAV/flutter_gemma — 我的 Flutter 插件，用于在本地运行 Gemma 模型（以防你忘记了）:)
希望能有Mac mini M5。
。关于这个话题，safew官方版本下载提供了深入分析
pixels create mybox --image ubuntu/24.04 --cpu 4 --memory 4096
新系统将根据用户操作方式，在触控与传统光标点击之间动态切换界面逻辑。例如，手指点击按钮时，界面会在触点周围弹出更适合触控的菜单；菜单栏项目也会在触控场景下放大，便于手指选择。
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.