According to Geoffrey Hinton (University of Toronto, AI professor since the 1970s) and Demis Hassabis (DeepMind founder): Artificial General Intelligence (AGI) is nowhere close to being a reality.
" We don’t have systems that can … transfer in an efficient way knowledge they have from one domain to the next. I think you need things like concepts or extractions to do that,” Hassabis said. “Building models against games is relatively easy, because it’s easy to go from one step to another, but we would like to be able to imbue … systems with generative model capabilities … which would make it easier to do planning in those environments.”
Hinton argues that AGI won’t so much make humans redundant, though. Rather, he says, it will remain for the most part myopic in its understanding of the world — at least in the near future. And he believes that it’ll continue to improve our lives in small but meaningful ways.
“[AI in the future is] going to know a lot about what you’re probably going to want to do and how to do it, and it’s going to be very helpful. But it’s not going to replace you. If you took [a] system that was developed to be able to be very good [at driving], and you sent it on its first date, I think it would be a disaster." Hinton says.
" We don’t have systems that can … transfer in an efficient way knowledge they have from one domain to the next. I think you need things like concepts or extractions to do that,” Hassabis said. “Building models against games is relatively easy, because it’s easy to go from one step to another, but we would like to be able to imbue … systems with generative model capabilities … which would make it easier to do planning in those environments.”
Hinton argues that AGI won’t so much make humans redundant, though. Rather, he says, it will remain for the most part myopic in its understanding of the world — at least in the near future. And he believes that it’ll continue to improve our lives in small but meaningful ways.
“[AI in the future is] going to know a lot about what you’re probably going to want to do and how to do it, and it’s going to be very helpful. But it’s not going to replace you. If you took [a] system that was developed to be able to be very good [at driving], and you sent it on its first date, I think it would be a disaster." Hinton says.
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