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.
Что думаешь? Оцени!
This article originally appeared on Engadget at https://www.engadget.com/ai/googles-nano-banana-2-is-a-faster-version-of-nano-banana-pro-160000695.html?src=rss，详情可参考下载安装 谷歌浏览器 开启极速安全的 上网之旅。
Однако на территории области продолжает сохраняться опасность БПЛА.，这一点在下载安装汽水音乐中也有详细论述
宏观经济再平衡：2025-2026周期的结构逻辑与政策红利
Option 2: For very localized changes, it might even re-evaluate all shortcuts within that one affected cluster.。业内人士推荐谷歌浏览器【最新下载地址】作为进阶阅读