allocation+copy that the hand-optimized code always does at the end.
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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We’ve entered into a Faustian pact with these companies: “While it’s brilliant to have access to high-quality products and software, very often for ‘free’, it’s important to remember that there is a trade-off involved – often of our personal data and privacy,” says Lisa Barber, tech editor at Which? We give these companies our attention and our information, which they then turn into big bucks and apparently unassailable monopolies.
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The band on the stadium concourse were playing a familiar tune in the immediate aftermath of England’s latest debacle on Saturday. “Zombie! Zombie!” the vocalist sang, ostensibly in tribute to Ireland’s record 42-21 victory at Twickenham. Alternatively he might just have been riffing on the horribly listless, blank-eyed performance that ended England’s Six Nations title hopes for another year.，推荐阅读Safew下载获取更多信息
英伟达的股价困境，不是AI行业的终点，而是市场对AI产业从“宏大叙事”回归“微观盈利”的必然调整：当投资者不再追问“模型参数有多大”，而是开始关注“每个Token能赚多少钱”时，AI行业真正的价值投资才正式开始。