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Back to UC Berkeley's Alison Gopnik: "Babies are the ultimate supercomputers", with Alison Gopnik.

Why Are People Who Work in Artificial Intelligence Coming Up Against Many Barriers

Techniques that have been used aren't powerful enough to do the type of learning that humans do. The people who do most of that learning are babies and young children.

Transcript

UC Berkeley's Alison Gopnik: "Babies are the ultimate supercomputers" ·

Danny in the Valley

More from this episode

  1. How Do Children LearnFrom small amounts of data, they can make very impressive generalizations. Studies show that they are often better than adults at coming up with unlikely ideas.
  2. What Does Alison Gopnik's MESS Acronym Say Children Do That Current AI Does Not?Alison Gopnik tells Danny Fortson that children solve problems differently from current AI.
  3. What Is Alison Gopnik's Curiosity-based Learning?On Danny in the Valley, Alison Gopnik of UC Berkeley describes work with Berkeley computer scientists, including Pulkit Agrawal and Deepak Pathak.
  4. Why Are Children Such Good Models for Artificial IntelligenceBabies and young children are born with a lot of ideas of how the world works.
  5. What Is the Next Step in How Artificial Intelligence AdvancesPart of it may involve determining if it is best to develop systems that humans can't do well vs. what they can do well (i.e.
  6. Is Artificial Intelligence Heading Back to Baby Brains?Yes. The general idea of the way to go is to continue to develop these structured models surrounding the brain development of babies and young children.

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