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.
Stewart Brand thinks big and long. He thinks on a planetary scale – as suggested by the title of his celebrated Whole Earth Catalog – and on the longest of timeframes, as with his Long Now Foundation, which looks forward to the next 10,000 years of human civilisation. He has had a lifelong fascination with the future, and anything that could get us there faster, from space travel to psychedelic drugs to computing. In fact, he was arguably the bridge between the San Francisco counterculture of the 60s and present-day Silicon Valley: in his commencement speech at Stanford University in 2005, Steve Jobs eulogised the Whole Earth Catalog and Brand’s philosophy, and echoed its farewell mantra: “Stay hungry. Stay foolish.”
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🌏 Part 4. 落地场景延伸:从 Tool 到 Partner
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