Before you share your location, you'll get to choose how long you want to share -- one hour, today only (ending at midnight), until you turn it off, or for a custom time period less than 24 hours. You can also stop sharing at any time.
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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A recent study by Fortune magazine stated that AI search engines are confidently wrong over 60% of the time, with various widely-used AI tools exhibiting significantly high error rates. This trend often extends to AI-generated captions, as run-on sentences, misheard phrases, and dialogues compressed into an incomprehensible stream of text may be familiar features across […]
与 Kindle 的反射式墨水屏不同，智能手机的屏幕本身就是光源。
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