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在理想模型中,如果一台机器人月均能接十单,每单两三千元,半年左右即可回本。这种测算足以让许多人产生强烈的参与冲动。

In the months since, I continued my real-life work as a Data Scientist while keeping up-to-date on the latest LLMs popping up on OpenRouter. In August, Google announced the release of their Nano Banana generative image AI with a corresponding API that’s difficult to use, so I open-sourced the gemimg Python package that serves as an API wrapper. It’s not a thrilling project: there’s little room or need for creative implementation and my satisfaction with it was the net present value with what it enabled rather than writing the tool itself. Therefore as an experiment, I plopped the feature-complete code into various up-and-coming LLMs on OpenRouter and prompted the models to identify and fix any issues with the Python code: if it failed, it’s a good test for the current capabilities of LLMs, if it succeeded, then it’s a software quality increase for potential users of the package and I have no moral objection to it. The LLMs actually were helpful: in addition to adding good function docstrings and type hints, it identified more Pythonic implementations of various code blocks.,详情可参考夫子

2026

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算法层面,团队核心成员均来自中科院自动化所。除刘年丰外,联创及算法总监刘京、青年首席科学家黄岩均为谭铁牛院士的博士生,深耕人工智能与多模态智能领域,毕业后曾就职于微软、华为等企业;联创曹恩华为中科院自动化所硕士,曾任阿里达摩院算法专家。,更多细节参见谷歌浏览器【最新下载地址】

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