В Домодедово задержали иностранца с куском метеорита в чемодане14:57
The strikes were conducted by the US and Israel as part of Operation Epic Fury.
，详情可参考谷歌浏览器下载
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.
We now have two CRDTs in our toolbox: LWW Register and LWW Map. How do we actually use them? We’ll cover that in the next post: Building a Collaborative Pixel Art Editor with CRDTs Building a Collaborative Pixel Art Editor with CRDTs | jakelazaroff.com CRDTs sound cool, but how are they actually used? Let's learn by building a collaborative pixel art editor. jakelazaroff.com/words/building-a-collaborative-pixel-art-editor-with-crdts/ .
，推荐阅读快连下载安装获取更多信息
.pipeTo(slowSink); // Buffer grows without bound，这一点在谷歌浏览器下载中也有详细论述
Студенты нашли останки викингов в яме для наказаний14:52