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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:

If you try to route from a map of France updated in May with a map of Germany updated in April, HH-Routing may not be compatible across the border. You would need to update all relevant maps to the same version.

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What confusable-vision does

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