Lex Fridman Podcast
Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI
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Show Notes
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Daniel Kahneman is winner of the Nobel Prize in economics for his integration of economic science with the psychology of human behavior, judgment and decision-making. He is the author of the popular book “Thinking, Fast and Slow” that summarizes in an accessible way his research of several decades, often in collaboration with Amos Tversky, on cognitive biases, prospect theory, and happiness. The central thesis of this work is a dichotomy between two modes of thought: “System 1” is fast, instinctive and emotional; “System 2” is slower, more deliberative, and more logical. The book delineates cognitive biases associated with each type of thinking.
This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.
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Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
– Introduction
– Lessons about human behavior from WWII
– System 1 and system 2: thinking fast and slow
– Deep learning
– How hard is autonomous driving?
– Explainability in AI and humans
– Experiencing self and the remembering self
– Man’s Search for Meaning by Viktor Frankl
– How much of human behavior can we study in the lab?
– Collaboration
– Replication crisis in psychology
– Disagreements and controversies in psychology
– Test for AGI
– Meaning of life
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