NEUROSCIENCE BEHIND AN ARTIFICIAL GENERAL INTELLIGENCE

NEUROSCIENCE BEHIND AN 

ARTIFICIAL GENERAL INTELLIGENCE

2,846 views

Apr 24, 2021

ORBAI Media

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This video gives and overview of human neuroscience and applies it to the design of an artificial general intelligence named Eta.

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What we usually think of as Artificial Intelligence today, when we see human-like robots and holograms in our fiction, talking and acting like real people and having human-level or even superhuman intelligence and capabilities - is actually called Artificial General Intelligence (AGI), and it does NOT exist anywhere on earth yet. What we do have is called Deep Learning, that has fundamental limitations that will not allow it to become AGI.

For an AI to pass the threshold of human intelligence, and become an artificial general intelligence requires an AI to have the ability to see, hear, and experience its environment. It needs to be able to learn that environment, to organize it’s memory non-locally and store abstract concepts in a distributed architecture so it can model it’s environment, events, and people in it.

It needs to be able speak conversationally and interact verbally like a human, and be able to understand the experiences, events, and concepts behind the words and sentences of language so it can compose language at a human level.

It needs to be able to solve all the problems that a human can, using flexible memory recall, analogy, metaphor, imagination, intuition, logic and deduction from sparse information.

It needs to be able to do the tasks and jobs humans can and express the results in human language in order to be able to do those tasks and professions as well as or better than a human.

This is a video that goes into these requirements, where deep learning falls short today, and a high-level overview of our planned approach to develop an Artificial General Intelligence.

brent.oster@orbai.com

www.orbai.com

Credit for clips and quotes goes to: Neuroscientifically Challenged, Eleanor McGuire (Royal Institution), Antonio Zadra & Robert Stickgold, and the "Neuroscience Meets Social and Emotional Learning" Podcast by Andrea Samadi

 

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