FirstFT: the day's biggest stories
36氪获悉，2月27日，DHL集团与京东宣布签署谅解备忘录，双方将在创新物流与电商领域展开深度合作，为德国品牌进入中国市场及拓展欧洲业务提供一站式解决方案。根据协议，DHL将向京东推荐德国优质品牌，德国企业通过京东国际，无需在中国设立实体公司即可直接触达中国消费者。
。爱思助手下载最新版本对此有专业解读
This Tweet is currently unavailable. It might be loading or has been removed.。WPS官方版本下载是该领域的重要参考
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.
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