<b>What's the best way to change research fields? These three scientists have ideas</b>

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Meta's handling of scammy advertisers has come under increased scrutiny in recent months after Reuters reported that researchers at the company at one point estimated that as much as 10 percent of its ad revenue could be coming from scams and banned products. The fact that Meta has made billions of dollars from problematic advertisers has also caused the company to be slow to take action against repeat offenders.。关于这个话题,夫子提供了深入分析

Inside their cleanroom, the team is busy building more modules for future Artemis missions. Each one takes about 18 months to put together but has taken thousands of engineering hours to design. Everything on board has to work perfectly.

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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.