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.
They never did. The flag disappeared eventually, though I received no confirmation.
。im钱包官方下载对此有专业解读
https://feedx.site
“省市县乡领导班子将陆续换届，强调政绩观也很有针对性。”在开局之年的“第一课”上，习近平总书记道出了树立和践行正确政绩观的另一层深远考量。
Unconsumed bodies: Pull semantics mean nothing happens until you iterate. No hidden resource retention — if you don't consume a stream, there's no background machinery holding connections open.