A review of What Is Life?: Evolution by Computation, and What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds, by Blaise Agüera y Arcas
A conversation with Blaise Aguera y Arcas (Google) and Michael Levin (Tufts University) about two recente papers on the computational foundations of life and intelligence.
A conversation with Maggie Jackson, author of Uncertain
We talked with Steven Sloman, Professor of Cognitive, Linguistic and Psychological Sciences at Brown University who, along with Philip Fernbach, popularized this idea in a book called the Knowledge Illusion.
On a scale of 1 to 10, rate how well you understand how a toilet works. Now, take a moment to explain how it works. Now, after you’ve tried to explain it, does your rating of how well you understand change?
If you’re like most people, the act of trying to explain will highlight that you don’t understand it as well as you thought you did. This is called the Knowledge Illusion and it’s where we feel we know more than we do because we get our knowledge from our community—both human and machine.
What’s so interesting about this illusion is that it says so much about how we should approach others and it also says a lot about how we should approach having our knowledge inside of machines.
We talked with Steven Sloman, Professor of Cognitive, Linguistic and Psychological Sciences at Brown University who, along with Philip Fernbach, popularized this idea in a book called the Knowledge Illusion. How does a conscious recognition of our knowledge being derived from our community affect our experience in the world?
Writing and Conversations About AI (Not Written by AI)
