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The mistake is viewing AI as somehow on the same curve as human intelligence. As if AI gets better and better and edges closer on the curve to human intelligenc
by Joeri 8y ago
The mistake is viewing AI as somehow on the same curve as human intelligence. As if AI gets better and better and edges closer on the curve to human intelligence.
It’s more a different kind of intelligence which happens to be able to do some of the same tasks. It already far exceeds human ability, at the tasks that particular flavor of intelligence is good at. We don’t need to be looking at things people do and asking how deep neural nets can do those as well, we need to be looking at deep neural nets and asking which tasks they’re uniquely capable of doing.
- sorokod 8y agoThere is a comment up this thread saying that the blockchain technology is a solution looking for a problem. You comment here sounds very similar.
- taneq 8y ago> We don’t need to be looking at things people do and asking how deep neural nets can do those as well, we need to be looking at deep neural nets and asking which tasks they’re uniquely capable of doing. I remember seeing a post here a while ago, talking about essentially this process. The poster was disappointed that AI researchers tend to get to the point where a new approach starts bearing fruit, and then get sidetracked finding applications for the new approach and forget about the search for 'real' AI. IIRC this was also suggested as an explanation for the "once we can do it it doesn't count as AI" phenomenon.