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.
這引發了他一場「尋找真理」的過程。原本是無神論者的他，開始閱讀福音書、感覺字句在頁面上向他「吶喊」，然後那一年稍晚的時候就受洗成為基督徒。
。旺商聊官方下载对此有专业解读
综合上述动向可见，国内民营酒店行业将在2026年全面进入“增优减劣”的双向调整阶段。
With that, I built a gigaprompt to ensure Opus 4.5 accounted for both the original Python implementation and a few new ideas I had, such as supersampling to antialias the output.
This article originally appeared on Engadget at https://www.engadget.com/gaming/playstation/marchs-ps-plus-monthly-games-include-monster-hunter-rise-and-slime-rancher-2-182644562.html?src=rss