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EigenState is a long-form science and technology podcast exploring the physical foundations of intelligence, computation, mathematics, and emerging technologies.
Each series investigates a fundamental question shaping the future of civilization: Why does intelligence require energy? Why does AI live inside geometry? What are the limits of computation? And what happens when physics becomes the bottleneck?
Through deep narratives, scientific history, and first-principles reasoning, EigenState connects information theory, artificial intelligence, physics, mathematics, robotics, and complex systems into a coherent picture of how reality computes itself.
Hosted by Shinde Aditya.
Each series investigates a fundamental question shaping the future of civilization: Why does intelligence require energy? Why does AI live inside geometry? What are the limits of computation? And what happens when physics becomes the bottleneck?
Through deep narratives, scientific history, and first-principles reasoning, EigenState connects information theory, artificial intelligence, physics, mathematics, robotics, and complex systems into a coherent picture of how reality computes itself.
Hosted by Shinde Aditya.
평균 오디오 길이:
27 minutes
영어
미국
2026년 6월 23일부터
episodic
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Why does the human brain operate on roughly twenty watts while modern artificial intelligence systems consume megawatts?
The answer begins with an unexpected claim: information is physical.
For decades, information was treated as an abstract mathematical object—a sequence of symbols detached from t…
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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Shinde Aditya에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
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