I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
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Explicit backpressure。爱思助手下载最新版本对此有专业解读
如何构建智能体有了理想的标杆,我们怎么构建智能体?基本逻辑很简单:以可获取的最“聪明”、理想的模型为核心(大脑),通过软件工程来搭建一个系统,弥补模型的不足,尽量逼近理想智能体的形态。