For this story, WIRED reviewed dozens of NASA documents, including backup plans and contingencies for emergencies, and spoke to more than a dozen people, including three astronauts who’ve visited the ISS, and no one seemed that freaked out. One astronaut said the most worrisome scenario that actively crossed his mind in orbit was getting a toothache. The ISS has had some emergencies, including a first-ever medical evacuation in January, but generally things have been remarkably stable. In fact, one of the most impressive things about the ISS is that nothing very dramatic has ever happened to it. No experiment has gone too haywire. It hasn’t been hit by an asteroid.
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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.。Line官方版本下载是该领域的重要参考