研究机构LPL Research指出，股票市场资金正持续从软件板块流出，转而追捧半导体、硬件等AI受益更直接的板块，软件被视为AI时代的潜在被替代者，而不是最核心受益方。
Мощный удар Израиля по Ирану попал на видео09:41
，推荐阅读Line官方版本下载获取更多信息
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.
While there are a ton of gaming headsets to choose from, with their own strengths and weaknesses, one has stood out among the crowded field. My favorite gaming headset for most people, the SteelSeries Arctis Nova 3, is currently marked down as low as $90 at Amazon, a $20 break from the full price.
Photograph: Simon Hill