1/ Imagine you had your entire twitter history. As in, all the data necessary to replicate the entire feed at any point as well as replay all interactions. More than that — imagine you had everyone else’s data too. I can’t imagine a more fun way to probe social path-dependency.
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2/ How much model capacity do you need for how much uncertainty? How short is the horizon of predictability? How stable are the trained models? Such an incredible resource that I think is largely untapped.
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3/ But ignoring knowing for the sake of discovery, it really gets into issues that I think will occupy a lot of attention and consideration this century: do we want it?
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4/ If it turned out that we’re really predictable (we are) and our preferences are really durable (they are), then we’re mostly engaged in social grooming/preening.
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5/ I don’t think that’s bad — this is an expressive medium. But something about it feels like a self-constructed cage, too. Not really a filter bubble, but JIT, ur-generative-reality.pic.twitter.com/WqS0jbLSln
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Replying to @dweomer
No I have to ration — I did not stockpile responsibly.
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Replying to @generativist
Interesting thread though. I suspect others with very deep pockets have had similar thoughts.
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Yea. Like “digital exhaust” is valuable for a reason...
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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