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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《台湾百科全书·历史》的出版，历经10余年编纂，是《台湾百科全书》中最早推出的一卷。它通过词条形式讲清楚台湾历史的基本面貌，是一本内容详实、方便查阅的严肃读物。本书时间范围从史前文化延续至1949年，共有条目1369条，由概述性文章、正文、大事年表、索引四部分组成，总字数约96万。，推荐阅读旺商聊官方下载获取更多信息
“以前过了‘破五’（初五）就闲了，现在是订单催着走，得趁着天好多赶几套版。”张廷旭和儿子张晨云手中的活计不敢停歇。