# ANTHROPIC_API_KEY = "sk-ant-..."
率先建立多井型立体井网，率先应用多分支水平井技术，首次实施巨厚碳酸盐岩油藏分层注水技术，率先开展气举采油……哈法亚油田以技术创新赋能高质量发展，在伊拉克创造多项首次。哈法亚公司开发部副经理蔡磊表示，项目积极服务共建“一带一路”，推动中伊能源合作互利共赢，为国际油气合作提供了可借鉴经验。
，更多细节参见safew官方版本下载
SaaS 管理平台 Zylo 的数据显示，大型跨国企业与 AI 相关的支出同比跃升 400%，而原有基础软件投资并未缩减。AI 正在成为企业账本上最昂贵且最难追踪的「隐形员工」。
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.