Major news re #deeplearning & its limits: Yoshua Bengio’s lab confirms a key conclusion of Marcus 2001 and 2018: deep learning isn’t efficient enough with data to cope with the compositional nature of language. https://export.arxiv.org/abs/1810.08272
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I agree. Is
@GaryMarcus' claim go beyond "neural networks is not enough"? What then is he proposing? Is it 'symbolic machinery'? Is the claim that 'symbolic machinery' cannot be simulated by neural networks?
No, my whole 2001 book is about how symbols might be emulated in neural machinery. But we need more structure.
