Encord raises €50M to build the data layer for physical AI

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Мощный удар Израиля по Ирану попал на видео09:41

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That depends on the type of keyboard. Since the Alice-split design simply rotates the keys apart, typing on it feels fairly similar to the regular keyboards you’re already used to. A fully split board will take a little more adjustment, particularly if it uses thumb clusters. The enter, shift and control buttons may now be operated by your thumbs instead of your other fingers and that can be tough to get used to. It took me a full month to get completely comfortable with a fully split keyboard with thumb clusters. But now, I prefer it to typing on regular boards.。下载安装 谷歌浏览器 开启极速安全的 上网之旅。是该领域的重要参考

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.