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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"Your heart is having an easy time, your muscles and bones are having an easy time. You're floating around the space station in this wonderful zero gravity environment.
Along with the deal, which values Warner Bros. Discovery at $31 per share, Paramount is making several commitments to assuage the fears of regulators and the entertainment community. Those include a guarantee that the new company will produce 30 theatrical films annually, that theatrical releases will have a minimum 45-day window in theaters before they’re brought to video on demand (something Netflix ultimately also agreed to) and that deal itself will close by Q3 2026.
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