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.
До 31 марта для тигров будет введена система ротационного интервального голодания. Она подразумевает, что каждый день один из вольеров объявляется «постным» и кормить зверей в нем запрещено. При этом посетители могут наблюдать за хищниками и даже угощать их разрешенной едой в определенные дни.
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集思广益，关键在一个“实”字。民主，说到底是要用来解决问题的。聚焦高质量发展中的卡点堵点问题出实招，瞄准民生领域的痛点难点问题谋良策，拿出更多“金点子”“好方子”，就能在解决问题中推动发展向新向优。
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