手机业则完美符合千里科技未来商业化的两个锚点：亿级终端，AI赋能。
我的狗如今1岁半了，是美国可卡犬与贵宾犬结合所生的后代。因此类犬长相甜美可爱，兼具不掉毛、体味小等优点，在国内又数量稀少，这几年在网上声量不小，称得上是网红犬种。这位“女网红”到家后，的确给我与我对象的生活增添了不少乐趣，但每年年关，我们都要被一个问题所困扰：我与对象都是在京工作的南方人，我们回家了，狗去哪里？
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the US, and in 1998 Diebold bought out IBM's share.
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.