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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:
A decade after a new constitution promised a fresh start, many young people say those hopes remain unmet. By some estimates, about one in five young Nepalis is out of work.