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第二个问题在于，狗加双臂是一个非标的构型，我觉得我们做机器人公司，一定要杜绝按照非标的构型思路。因为非标意味着无法放量——今天臂长要1.5米，明天要2米；今天精度0.1毫米，明天要1毫米——这样就会量上不去，成本降不下来，算法也无法复用。
A day before announcing OpenAI’s newest $110 billion funding round, OpenAI CEO Sam Altman took to X to comment on how even non-technical people can contribute to the development of AI, or at least at his company. One of the best ways for these non-technical candidates to get their foot in the door is through research recruiting, Altman said.，推荐阅读同城约会获取更多信息
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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.