Re:The singularity is close?
by TheOtherHobbes on Friday April 01, 2022 @05:33AM
(#30876510)
Humans very much don't have AGI. It's one of our many flaws.
We define AGI as "human-like behaviour" but that usually means "AI researcher-like behaviour", which is why AI research concentrates on tasks like playing games and translating language, and not on having enough general intelligence to handle social situations.
So AGI seems to be defined as "Can self-tutor any academic or intellectual domain to a professional level."
The core human skillset is elsewhere. It's based on social awareness, emotional mirroring and empathy (except for Dark Triad types) and various kinds of ambition, goal-seeking, and drive regulation. And language semantics to drive all of this. All based on various kinds of contextual awareness of physical, emotional, and social location. And only once all of this is in place does intellectual learning happen.
It's actually quite a narrow. but deep set of skills. It's still broader than - say - playing bridge. But unlike bridge, winning optimal moves are very hard to define, and internal state and external actions may have long-delayed results, so training is very difficult. And there are multiple definitions of winning - from personal happiness to financial and political domination - some of which conflict with each other.
Which is why humans have 15-20 years of training on these problems before entering the adult human world.
In CS AI terms humans are already dumb as rocks. No human can play bridge, chess, or go to an AI standard.
In human terms many humans are also almost as dumb as rocks. But even stupid humans can still handle the core skillset to a passable level. AI hasn't really made any inroads into this space, but I strongly suspect true AGI won't be possible without it.
Otherwise you build a machine that can teach itself to write music and play chess and pick stocks, but it learns with no context or concept of usefulness. "Understanding" music would be exactly equal to "understanding" stamp collecting. It would know the computational cost of everything, but the value of nothing.
We define AGI as "human-like behaviour" but that usually means "AI researcher-like behaviour", which is why AI research concentrates on tasks like playing games and translating language, and not on having enough general intelligence to handle social situations.
So AGI seems to be defined as "Can self-tutor any academic or intellectual domain to a professional level."
The core human skillset is elsewhere. It's based on social awareness, emotional mirroring and empathy (except for Dark Triad types) and various kinds of ambition, goal-seeking, and drive regulation. And language semantics to drive all of this. All based on various kinds of contextual awareness of physical, emotional, and social location. And only once all of this is in place does intellectual learning happen.
It's actually quite a narrow. but deep set of skills. It's still broader than - say - playing bridge. But unlike bridge, winning optimal moves are very hard to define, and internal state and external actions may have long-delayed results, so training is very difficult. And there are multiple definitions of winning - from personal happiness to financial and political domination - some of which conflict with each other.
Which is why humans have 15-20 years of training on these problems before entering the adult human world.
In CS AI terms humans are already dumb as rocks. No human can play bridge, chess, or go to an AI standard.
In human terms many humans are also almost as dumb as rocks. But even stupid humans can still handle the core skillset to a passable level. AI hasn't really made any inroads into this space, but I strongly suspect true AGI won't be possible without it.
Otherwise you build a machine that can teach itself to write music and play chess and pick stocks, but it learns with no context or concept of usefulness. "Understanding" music would be exactly equal to "understanding" stamp collecting. It would know the computational cost of everything, but the value of nothing.