There's another compelling reason to bring back a cheaper MacBook: It's the perfect way to court disgruntled Windows users, something Apple hasn't really done since its "Get A Mac" ads from the mid-2000s. I figure the unbridled success of the iPhone and iPad made Apple focus less on directly competing with Windows. The sleek designs of the 2011-2015 era MacBook Air and Pros were their main selling points, but Apple's push towards USB-C-only machines and unreliable butterfly keyboards later made it clear it wasn't totally focused on Macs.
"It is a proud moment to see this piece of digital history housed in the V&A where we hope it will inspire generations to come," Mohan said.，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。
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.。关于这个话题，同城约会提供了深入分析
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