Re:Geoffrey Hinton and Demis Hassabis: AGI is nowhere close ...
by odyssey7 on Wednesday December 19, 2018 @03:14PM
(#18719113)
Are there ways that an AI practitioner would be able to tell whether a neural network is doing human-style symbolic reasoning?
[ Parent
| on HN ]
Re:Geoffrey Hinton and Demis Hassabis: AGI is nowhere close ...
by bsaul on Wednesday December 19, 2018 @03:48PM
(#18719444)
As mentioned in the original article, being able to reuse part of a network trained on one task, on another different task that shares a subset of concepts, would indicate something like the understanding of a concept has emerged.
Re:Geoffrey Hinton and Demis Hassabis: AGI is nowhere close ...
by karmasimida on Wednesday December 19, 2018 @03:20PM
(#18719167)
Good question. I don't think we do actually.
The only reason I am convinced it is NOT doing a good job, is how utterly difficult to apply NN to dialog generation/management domain of business, often time it behaves much worse than rule-based systems.
Re:Geoffrey Hinton and Demis Hassabis: AGI is nowhere close ...
by darkmighty on Wednesday December 19, 2018 @04:30PM
(#18719869)
You'd be able to tell if every brain structure was replicated by a NN analogue (and we understood them sufficiently well). Otherwise you can only use behavioral replication (i.e. Turing tests) to infer it.
Re:Geoffrey Hinton and Demis Hassabis: AGI is nowhere close ...
by antidesitter on Wednesday December 19, 2018 @11:19PM
(#18722477)
IQ tests [1] and one-shot learning come to mind.