instance.exports.run();
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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《法律深处是人心》一书，让枯燥的法史知识走向普通读者，让传统的法律智慧融入现代社会生活，让严肃的法律条款展现出人文关怀。诚如书名所言，“法律深处是人心”，只有读懂了人心，才能读懂法律的真谛；只有尊重人心，才能发挥法律的价值。，这一点在夫子中也有详细论述
这意味着，东西方一梯队的两家大模型公司，在模型能力竞赛尚未决出终极赢家的当下，不约而同地跳入了硬件这个更“重”、更“慢”的赛道。
Final Hurdle hintEbony and ___.