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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The selection bias here in replicating not just the data but the timeline, the order — that's the real mystery and what makes traditional web archiving methods miss the mark on the modern web - personalization is part of the fabric itself.
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I read that as sociopathic dependency
Thanks. Twitter will use this to make your timeline better. UndoUndo
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