143 - Guest: Melanie Mitchell, AI Cognition Researcher, part 2 - a podcast by aiandyou

This and all episodes at: https://aiandyou.net/ .

 

How intelligent - really - are the best AI programs like ChatGPT? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us?

Researching the answers to those questions is Melanie Mitchell, Professor at the Santa Fe Institute. Her current research focuses on conceptual abstraction, analogy-making, and visual recognition in artificial intelligence systems. She is the author or editor of six books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her book Complexity: A Guided Tour (Oxford University Press) won the 2010 Phi Beta Kappa Science Book Award and was named by Amazon.com as one of the ten best science books of 2009. 

Her recent book, Artificial Intelligence: A Guide for Thinking Humans is a thoughtful description of how to think about and understand AI seen partly through the lens of her work with the polymath Douglas Hofstadter, author of the famous book Gödel, Escher, Bach, and who made a number of connections between advancements in AI and the human condition.

In this conclusion of our interview we talk about what ChatGPT isn't good at, how to find the edges of its intelligence, and the AI she built for making analogies like you'd get on the SAT.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

 

 

 

 

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