Earlier quoted context omitted.
Yeah honestly I don't get what he is really contributing (and I'm sort of an AI skeptic). In 2000 in undergrad, I recall checking out some of his books from the library because people said he was important, and I learned about the "Chinese Room" argument [1] in class. How is it even an argument? It doesn't illuminate anything, and it's not even clever. It seems like the most facile wrong-headed stab at refutation, by…
I thought the idea was that because the only part of the room actually doing things (the person), doesn't understand chinese? I mean, agree with it or not, but I think that's a bit stronger than just, making it seem intuitively worse because its a room instead of "a computer"? I think the important part isn't the swap of "room" for "computer", but instead the swap of "person" for "cpu"?
Consciousness resides in the minds that created the lookup tables: they were constructed by conscious beings to map queries to meaningful responses.
The lookup tables are the very sophisticated part of Searle's Chinese Room.
The recent emergent semantic vector algebra discovered in human languages by Mikolov's word2vec [Mikolov et al] demonstrate that some of the computational power of language is inherent in the language ( but only meaningfully interpretable by a conscious listener.
Meaning requires Consciousness but language is unexpectedly sophisticated and contains a semantic vector space which can answer simple queries ("What is the Capital of...") and analogise ("King is to What as Man is to Woman") algebraicly. [Mikolov et al]
This inherent semantic vector space is discoverable by context encoding large corpii.
Language is a very sophisticated and ancient tool that allows some reasoning to be performed by simple algebraic transformations inherent to the language.
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[Mikolov et al] : Efficient Estimation of Word Representations in Vector Space Mikolov, Chen, Corrado, & Dean http://arxiv.org/abs/1301.3781