众议院交通和基础设施委员会以及国土安全委员会的民主党人周四晚间在声明中表示，“听到国防部据称使用高风险反无人机系统击落海关与边境保护局无人机的消息后，我们简直震惊不已。”
Content creation has become more demanding than ever. Whether you're a social media influencer, marketer, or business owner, keeping up with the constant need for fresh, engaging content can be overwhelming. That's where AI tools come in – they're not just fancy tech, they're your secret weapon for creating better content faster.
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"The depression and the anxiety I've had from this stupid decision to try and alter my posterior, it just wasn't worth it," she said.
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.