Трамп высказался о непростом решении по Ирану09:14
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.
。关于这个话题，safew官方版本下载提供了深入分析
这一环节的优势十分突出，技术垄断性强、行业集中度高，现金流稳定，风险相对较低——无论下游“淘金客”成败，都离不开硬件工具的支撑。但风险同样不容忽视：技术迭代可能颠覆现有硬件需求，且过度依赖资本循环，若下游融资断裂，订单规模或将大幅缩水。
Urgent cases are being defined as any patient whose symptoms suggest they need treatment to start the same day or where there is a risk of deterioration if they aren't assessed, such as a child with a high fever and a rash, or a frail older person who has suddenly become confused.