Что думаешь? Оцени!
Lambert 指出了一个根本矛盾：美国的学术界和开源模型开发者也在做蒸馏行为，但包括 Anthropic 在内的大厂并没有对它们做出实质性的打击。如果仅因为对方是中国公司，未免地缘的意味太重了。
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小麦的能量还远不止这些。“加工过程中产生的副产物，活性营养成分、膳食纤维和微量元素含量占整粒小麦的90%以上，堪称‘营养金库’。”丹志民说。如今，麸皮用作饲料、食用醋发酵原料，麦胚提取小麦胚芽油走向食用油、化妆品领域，次粉定向供应水产养殖企业……主食领域之外，跨界应用让小麦的身价倍增。，这一点在同城约会中也有详细论述
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.