The papers called Co-evolutionary hybrid intelligence, and its a work of art that belongs in a museum.
The research is only four pages long, but the team manages to pack a lot in that space.
They dont beat around the bush.
You want to know how to solve AGI?
Thats kind of romantic.
But whats it really mean?
When AI researchers talk about strong AI they dont mean a robot that can carry heavy objects.
Theyre talking about the opposite of a narrow AI.
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All modern AI is narrow.
A strong AI would be capable of doing anything a person can do.
They say we should combine our natural intelligence with the machines artificial intelligence and become permanently linked in aco-evolutionaryparadigm.
Per the paper:
The development of data-centered intelligence is approaching its limits.
Instead of a datacentered approach it is required to use intelligence-centered approach.
Hybridization of human and machine intellectual capabilities based on cognitive interoperability and coevolution is a new frontier.
Thereby, the analog of the Turing test for the strong intelligence can be created.
Consequently, solving a problem that human intelligence is unable to solve, may be a good benchmark.
To accept the fact the problem is solved the human intelligence must be developing synchronously with artificial one.
In other words, a hypothetical model of the strong artificial intelligence can only be hybrid.
And, even if we did, we wouldnt be smart enough understand it.
That sounds a lot like the way we train humans.
Were all for such a paradigm.
Its hard to imagine how putting more humans in the loop will directly lead to strong AI however.
you’ve got the option to read the whole paperhere.
