Thursday, June 3, 2021

g-f(2)307 The Big Picture of Business Artificial Intelligence (6/3/2021), MIT Technology Review, AI is learning how to create itself.




Extra-condensed knowledge


Humans have struggled to make truly intelligent machines. Maybe we need to let them get on with it themselves.
  • An artificial-intelligence researcher at Uber, Rui Wang likes to leave the Paired Open-Ended Trailblazer, a piece of software he helped develop, running on his laptop overnight. POET is a kind of training dojo for virtual bots.
  • But it’s not what the bots are learning that’s exciting—it’s how they’re learning. POET generates the obstacle courses, assesses the bots’ abilities, and assigns their next challenge, all without human involvement. Step by faltering step, the bots improve via trial and error. “At some point it might jump over a cliff like a kung fu master,” says Wang. 
  • It may seem basic at the moment, but for Wang and a handful of other researchers, POET hints at a revolutionary new way to create supersmart machines: by getting AI to make itself. 
  • Wang’s former colleague Jeff Clune is among the biggest boosters of this idea. Now dividing his time between the University of British Columbia and OpenAI, he has the backing of one of the world’s top artificial-intelligence labs.
  • Clune calls the attempt to build truly intelligent AI the most ambitious scientific quest in human history. 
  • Today, seven decades after serious efforts to make AI began, we’re still a long way from creating machines that are anywhere near as smart as humans, let alone smarter. 
  • Clune thinks POET might point to a shortcut. 
  • If AI starts to generate intelligence by itself, there’s no guarantee that it will be human-like. Rather than humans teaching machines to think like humans, machines might teach humans new ways of thinking.

ULTRA-condensed knowledge



Lesson learned, AI is learning how to create itself, MIT Technology Review
  • POET hints at a revolutionary new way to create supersmart machines: by getting AI to make itself.
Alert, MIT Technology Review
  • If AI starts to generate intelligence by itself, there’s no guarantee that it will be human-like. Rather than humans teaching machines to think like humans, machines might teach humans new ways of thinking.


Genioux knowledge fact condensed as an image


Condensed knowledge



Multiple updates for those traveling at high speed on GKPath
Humans have struggled to make truly intelligent machines. Maybe we need to let them get on with it themselves.
  • An artificial-intelligence researcher at Uber, Rui Wang likes to leave the Paired Open-Ended Trailblazer, a piece of software he helped develop, running on his laptop overnight. POET is a kind of training dojo for virtual bots.
  • But it’s not what the bots are learning that’s exciting—it’s how they’re learning. POET generates the obstacle courses, assesses the bots’ abilities, and assigns their next challenge, all without human involvement. Step by faltering step, the bots improve via trial and error. “At some point it might jump over a cliff like a kung fu master,” says Wang. 
  • It may seem basic at the moment, but for Wang and a handful of other researchers, POET hints at a revolutionary new way to create supersmart machines: by getting AI to make itself. 
  • Wang’s former colleague Jeff Clune is among the biggest boosters of this idea. Now dividing his time between the University of British Columbia and OpenAI, he has the backing of one of the world’s top artificial-intelligence labs.
  • Clune calls the attempt to build truly intelligent AI the most ambitious scientific quest in human history. 
  • Today, seven decades after serious efforts to make AI began, we’re still a long way from creating machines that are anywhere near as smart as humans, let alone smarter. 
  • Clune thinks POET might point to a shortcut. 
  • If AI starts to generate intelligence by itself, there’s no guarantee that it will be human-like. Rather than humans teaching machines to think like humans, machines might teach humans new ways of thinking.


Lesson learned, AI is learning how to create itself, MIT Technology Review
  • POET hints at a revolutionary new way to create supersmart machines: by getting AI to make itself.
Alert, MIT Technology Review
  • If AI starts to generate intelligence by itself, there’s no guarantee that it will be human-like. Rather than humans teaching machines to think like humans, machines might teach humans new ways of thinking.

POET: Endlessly Generating Increasingly Complex & Diverse Learning Environments and their Solutions





                Category 2: The Big Picture of the Digital Age

                [genioux fact deduced or extracted from MIT Technology Review]

                This is a “genioux fact fast solution.”

                Tag Multiple updates for those traveling at high speed on GKPath

                Multiple updates for those traveling at high speed on GKPath
                • Multiple updates (6/3/2021) for those traveling at high speed on GKPath!

                Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).

                Type of validity of the "genioux fact". 

                • Inherited from sources + Supported by the knowledge of one or more experts + Supported by research.


                Authors of the genioux fact

                Fernando Machuca


                References

                ABOUT THE AUTHORS



                Senior editor, AI
                LinkedIn and Twitter accounts

                I am the senior editor for AI at MIT Technology Review, where I cover new research, emerging trends and the people behind them. Previously, I was founding editor at the BBC tech-meets-geopolitics website Future Now and chief technology editor at New Scientist magazine. I have a PhD in computer science from Imperial College London and know what it’s like to work with robots. 


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