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Now that the theory is laid out, I’ll show you how to use these tools to deploy a Fedora Silverblue.
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结语：从"淘金热"到"炼金术"AI产业链正在经历一场深刻的转型，从喧嚣的“淘金热”转向务实的“炼金术”：早期的混乱与暴富，属于“卖铲子的”硬件企业和“讲故事的”初创公司，但长期的超额收益，终将属于那些能把AI技术转化为真金白银、实现可持续盈利的企业。
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.
Заслуженная артистка РФ призналась, что немцы едят сплошь сосиски в тесте.