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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.
平均音声長:
27 minutes
英語
アメリカ合衆国
2026年6月23日から
episodic
このポッドキャストの内容 🔗
最新エピソード 🔗
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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