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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:
The atmosphere is a ruthless incinerator, and, no matter how the ISS comes down, most of it would be vaporized. But there’s still that chunk of station that could survive reentry. In the best case, where we’re prepared, air traffic controllers and maritime authorities can issue alerts. The station will shed pieces into the sky, and Australians might get a nice view before things kerplunk into the sea. Then the remains of this historic feat of human engineering will sink to the ocean floor, another carcass left to the algae and the microplastics.