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:
与“买一个品牌”不同,这种方式更像是在现有能力边界上做延伸,风险更可控,但回报节奏也相对较慢。
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