Agreed. But how would you define comprehension?
if you think deep learning has solved the problem of understanding, I hope you will read this tweet.https://twitter.com/GaryMarcus/status/1187588059048529920 …
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Comprehension is a process that at least begins with a perception that can be broken down into units that already exist in memory. Current observation has x in common with memory y and z. That's the root of all comprehension.
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It is surprising that some tasks require much less understanding than one might expect. Does anybody remember „Whither Speech Recognition“? https://pdfs.semanticscholar.org/0155/01c4d26a92993332ada795e27b126ae3028a.pdf …
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I think this is Searle’s Chinese Room argument https://en.m.wikipedia.org/wiki/Chinese_room …
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No Searle’s argument is about AI never being able to understand even if it “uses” language in a functionally perfect way. Marcus is saying more that current AI is far from being able to use language perfectly (or even well)
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Hmm. I’m not convinced, actually. I used to agree, but like: what model of “understanding “ would undervalue this kind of stuff? How is this not *understanding*?https://thenewstack.io/ai-makes-new-scientific-discoveries-by-analyzing-old-research-papers/ …
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