Tuesday, June 15, 2021

g-f(2)324 The Big Picture of Business Artificial Intelligence (6/15/2021), Ben Dickson, What Google’s AI-designed chip tells us about the nature of intelligence




ULTRA-condensed knowledge


Opportunity, AI and humans finding better ways to cooperate
  • If there’s a virtuous cycle, it’s one of AI and humans finding better ways to cooperate.
Lesson learned, AI + human intelligence
  • As Google’s reinforcement learning–powered chip designer shows, innovations in AI hardware and software will continue to require abstract thinking, finding the right problems to solve, developing intuitions about the solutions, and choosing the right kind of data to validate the solutions.
  • Those are the kinds of skills that better AI chips can enhance but not replace.
Lesson learned, A deep reinforcement learning technique for floorplanning
  • According to Google researchers, the new reinforcement learning model “automatically generates chip floorplans that are superior or comparable to those produced by humans in all key metrics, including power consumption, performance and chip area.” And it does it in a fraction of the time it would take a human to do so.
Warning, The fair interpretation of this AI progress
  • At the end of the day, I don’t see this as a story of “AI outsmarting humans,” “AI creating smarter AI,” or AI developing “recursive self-improvement” capabilities.


“genioux fact fast solution" condensed as an image


Condensed knowledge


Opportunity, AI and humans finding better ways to cooperate
  • If there’s a virtuous cycle, it’s one of AI and humans finding better ways to cooperate.
Lesson learned, AI + human intelligence
  • As Google’s reinforcement learning–powered chip designer shows, innovations in AI hardware and software will continue to require abstract thinking, finding the right problems to solve, developing intuitions about the solutions, and choosing the right kind of data to validate the solutions.
  • Those are the kinds of skills that better AI chips can enhance but not replace.
Lesson learned, A deep reinforcement learning technique for floorplanning
  • According to Google researchers, the new reinforcement learning model “automatically generates chip floorplans that are superior or comparable to those produced by humans in all key metrics, including power consumption, performance and chip area.” And it does it in a fraction of the time it would take a human to do so.
Warning, The fair interpretation of this AI progress
  • At the end of the day, I don’t see this as a story of “AI outsmarting humans,” “AI creating smarter AI,” or AI developing “recursive self-improvement” capabilities.

Category 2: The Big Picture of the Digital Age

[genioux fact deduced or extracted from TechTalks]

This is a “genioux fact fast solution.”

Tag Multiple updates 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


Ben Dickson

Ben Dickson is a software engineer and the founder of TechTalks, a blog that explores the ways technology is solving and creating problems. He writes about technology, business and politics. Follow him on Twitter: @BenDee983.  


TechTalks


At Tech Talks, we examine trends in technology, how they affect the way we live and do business, and the problems they solve. But we also discuss the evil side of technology, the darker implications of new tech and what we need to look out for.


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