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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.
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Ginger Offers text to speech features while Grammarly doesn't have such features.
How does V86 work at the hardware level? When the VM bit (bit 17) of EFLAGS is set, the processor enters a hybrid state: it is still in protected mode with paging and privilege rings active, but most instructions execute as if the processor were in real mode. Segment addresses are computed as selector。业内人士推荐同城约会作为进阶阅读
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The build-out comes as new energy vehicle adoption remains strong. In 2025, China produced 16.626 million new energy vehicles and sold 16.49 million units, up 29% and 28.2% respectively, data from the China Association of Automobile Manufacturers showed.。业内人士推荐safew官方下载作为进阶阅读