. @Ylecun are you arguing that your team has a robust solution to the problem of getting deep nets to understand the causal consequences of events as they unfold over time, or just pointing me to a toy model? Have you tried it on the examples in this thread?https://twitter.com/ylecun/status/1188902027495006208 …
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This all-or-nothing approach to progress is pretty silly. I'm sure it's a toy model, and I'm sure you'll find flaws with it, but that doesn't mean it's not progress.
Hey, I'm all for taking steps, but Dr @ylecun told me the problem was solved, period, and that's completely ridiculous.
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Fortunately
@haldaume3 will spare me the effort on this one.Thanks. Twitter will use this to make your timeline better. UndoUndo
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Not only did
@ylecun claim the problem of buiding models of causal consequences from discourse was solved, he said it's been solved for 3 years! Spoiler: It hasn't been. -
Did he really? My read: You claimed no robust event representations in GPT-2, he claimed (albeit rudely) that older work exhibited this property.
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