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Sutskever to @NewYorker: "If you train a system which predicts the next word well enough, then it ought to understand"
ML fans when I show GPT-2 has no idea what happens as events unfold over time: GPT-2 is just system for predicting next words; not fair to ask it to understand.
another example, in the very title of the paper that introduced BERT. not ealso discussion of QA and language inference, not just prediction by word, @tdietterichpic.twitter.com/zVP6PNcozn
Very evidently current #AI/#NLProc suffers from reading comprehension disability: https://www.verywellfamily.com/learning-disability-in-reading-comprehension-2162449 …
Reasons differ, of course, but probably there's something to learn from reasons of why this disability manifests in humans?
From what I’ve seen from GPT-2 so far is not much better if not worse than what the good old computer science paper generator could do - minus the syntactic and grammatical correctness. https://pdos.csail.mit.edu/archive/scigen/
What's the precise, measurable definition of "understanding" at play here? Should agree on definitions of essential concepts to focus discussion.
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