We've made a lot of noise about Pokémon's 30th birthday celebrations, and so has the rest of the world. We've seen genuine excitement over new Pokémon TCG releases, the first-ever Lego Pokémon sets, and the return of nostalgic Pokémon games, and it feels like there's more to come from this special anniversary.
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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Source: Computational Materials Science, Volume 266
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Among the 19 people killed in the capital, Kathmandu, on 8 September last year was a teenager in school uniform, who had been walking away from the crowd when he was shot in the back of the head. Dozens more were injured.