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:
Цены на нефть взлетели до максимума за полгода17:55
刘年丰：操作的核心是操作对象，但以前的主流模型太关注全局信息。我们的思路是：通过多个二维热力图，把要操作的对象位置自适应地学习出来，让模型意识到什么是最需要响应的操作对象。。51吃瓜对此有专业解读
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，这一点在搜狗输入法2026中也有详细论述
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But for many North Korea watchers, the Workers’ party congress – held over several days just once every five years – was a rare opportunity to speculate over the identity of the country’s future leader.