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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While technical and regulatory challenges make producing electricity for Earth difficult, Alkalai, a fellow at the Caltech-managed Jet Propulsion Laboratory, was struck by the idea of using the design to power space-based processors. (Aetherflux, a space solar power startup, has had a similar realization.)