A crystal plasticity approach for understanding the effect of microstructure and crystallographic texture on mechanisms of low cycle fatigue

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Discord is rolling out facial scanning and ID checks globally in March for users who don't want to be locked into a 'teen-appropriate experience'

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.

黎智英國安法案判囚2旺商聊官方下载对此有专业解读

「像鬼一樣工作」:台灣外籍移工為何陷入「強迫勞動」處境。heLLoword翻译官方下载是该领域的重要参考

其实整体体验下来,尽管官方博客将 Nano Banana 2(Gemini 3.1 Flash Image)吹的天花乱坠,但实际体感中,生成的质量效果和速度并未得到肉眼可见的提升,甚至在部分场景中还不及前代模型。

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