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Lex Fridman PodcastRisto Miikkulainen: Neuroevolution and Evolutionary Computation | Lex Fridman Podcast #177
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Episode Details
EPISODE INFO
- Released
- April 19, 2021
- Duration
- 1h 56m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Risto Miikkulainen is a computer scientist at UT Austin. Please support this podcast by checking out our sponsors:
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EPISODE LINKS: Risto's Website: https://www.cs.utexas.edu/users/risto/ PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 1:07 - If we re-ran Earth over 1 million times 4:24 - Would aliens detect humans? 7:02 - Evolution of intelligent life 10:47 - Fear of death 17:03 - Hyenas 20:28 - Language 23:59 - The magic of programming 29:59 - Neuralink 37:31 - Surprising discoveries by AI 41:06 - How evolutionary computation works 52:28 - Learning to walk 55:41 - Robots and a theory of mind 1:04:45 - Neuroevolution 1:15:03 - Tesla Autopilot 1:18:28 - Language and vision 1:24:09 - Aliens communicating with humans 1:29:45 - Would AI learn to lie to humans? 1:36:20 - Artificial life 1:41:12 - Cellular automata 1:46:49 - Advice for young people 1:51:25 - Meaning of life SOCIAL:
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SPEAKERS
Lex Fridman
hostRisto Miikkulainen
guest
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Risto Miikkulainen, Risto Miikkulainen: Neuroevolution and Evolutionary Computation | Lex Fridman Podcast #177 explores Risto Miikkulainen Explores Evolving Intelligence, Creativity, and Artificial Life Lex Fridman and Risto Miikkulainen discuss evolutionary computation and neuroevolution as ways to simulate and understand how complex intelligence and behavior can emerge from simple rules over time. They explore parallels between biological evolution and digital evolution, including cooperation, deception, social behavior, and major transitions like multi-cellularity and societies. The conversation connects these ideas to practical AI topics such as optimizing deep neural networks, multi-task learning, robotics, and brain–computer interfaces. They close by reflecting on consciousness, emotion, mortality, meaning, and how exploration and diversity drive both evolution and a fulfilling human life.
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