Directed by Phil Lord and Christopher Miller, Project Hail Mary stars Ryan Gosling as Ryland Grace, a middle school science teacher who wakes up on a spaceship millions of miles from Earth with no recollection of how he got there. As his memory slowly returns, he pieces together his mission: save Earth from the alien microorganisms causing the sun to die out. Those who have read the book (which I couldn't recommend more — particularly the audiobook) know the gripping story is about a whole lot more than just science. It's a story about survival and unexpected friendship, and you may want to bring some tissues along.
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，这一点在服务器推荐中也有详细论述
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.
Creating and consuming streams