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.
36氪获悉，百度发布2025年第四季度及全年财报。财报显示，百度2025年总营收达1291亿元，AI业务营收达400亿元，AI云收入同比增长34%。四季度营收327亿元，上年同期营收341.24亿元；其中AI业务收入占百度一般性业务收入的43%；萝卜快跑Q4全球出行服务次数达340万，同比增长超200%；季度内每周出行次数峰值超30万。
。关于这个话题，同城约会提供了深入分析
Ian YoungsCulture reporter, Mama Roux's, Birmingham。WPS下载最新地址对此有专业解读
Product migration