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30min chapter
Episode 96: Kenneth Stanley on the Pursuit of What’s Interesting
The Theory of Anything
Exploring Novelty Search in AI
This chapter investigates the intriguing concept of novelty search, highlighting its origins in the pick breeder experiment that led to unexpected discoveries. The speakers emphasize that pursuing novelty without strict objectives can lead to valuable insights, as illustrated through examples in artificial intelligence and robotics. The discussion also critiques traditional evolutionary mechanisms, advocating for a deeper understanding of open-endedness and interestingness in the quest for innovation.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode