Никита Абрамов (Редактор отдела «Россия»)
“한국은 ‘얼죽아’의 본고장”… 스타벅스, 韓서 세계 최초 ‘에어로카노’ 출시
刘年丰：我们的最终定位是软硬一体的公司，我们也认为具身智能在“脑”不在“型”。可以参考苹果，最核心的竞争力不是摄像头、不是主板，而是操作系统和生态。这条路虽然难，但也是我们想走的路。，这一点在91视频中也有详细论述
Use it on any device
，更多细节参见一键获取谷歌浏览器下载
Google 官方「豆包手机」曝光：可让 Gemini 直接操控 App。safew官方版本下载是该领域的重要参考
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.