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.
發言人當時說：「儘管蓋茨先生承認與愛潑斯坦見面是判斷上的重大錯誤，但他完全否認有任何與愛潑斯坦相關的不當行為，也否認與愛潑斯坦的可怕行徑有任何牽連。」
，详情可参考新收录的资料
本次评审团成员包括源码律动管理合伙人黄云刚、光合创投合伙人蔡伟、北极光合伙人林路、锦秋基金合伙人臧天宇、贝恩公司全球合伙人/大中华区高科技业务主席成鑫、波士顿咨询公司（BCG）董事总经理/全球合伙人俞晨骜、中欧国际工商学院决策科学和管理信息系统学教授/人工智能应用与产业专家谭寅亮、长江商学院市场营销学副教授/MBA项目副院长李洋、模速空间副总经理张韵、北京大学信息技术高等研究院视觉智能实验室主任王钊、北航国际创新研究院基础教育通用人工智能实验室首席科学家刘志毅、尼尔森IQ科技及耐用消费品商务总经理赵博阳、36氪科技主编苏建勋、36氪研究院院长邹萍。
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