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Yeah, this is the correct reply, and the thing Gary doesn’t seem to grasp. This “text processing”, done more efficiently at massive scale, could produce real understanding. In philosophical terms, large amounts of syntax may prove sufficient for semantics. We just don’t know yet.
we have zero evidence that deep learning can build coherent models of complex discourse over time.
If large amounts of syntax may prove sufficient for semantics, why do we still get DL textual entailment systems inferrring "John killed Mary" implies "Mary killed John"
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