ВсеСледствие и судКриминалПолиция и спецслужбыПреступная Россия
根据韩国国土资源部通过电子邮件发送的声明，现代汽车集团将向韩国西海岸新万金地区的人工智能、机器人和氢业务投资9万亿韩元（约合63亿美元）。现代汽车集团与政府27日签署了投资协议，，将斥资4000亿韩元建设机器人制造工厂投资5.8万亿韩元建设人工智能数据中心，投资1万亿韩元建立用于生产和供应绿色氢的水电解设施，投资1.3万亿韩元用于建设太阳能发电设施。（新浪财经），更多细节参见同城约会
Юлия Сычева (корреспондент)。快连下载安装对此有专业解读
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.