Consciousness and Prediction
Juergen explores the fascinating idea that consciousness may arise as a byproduct of data compression during problem-solving processes in machines. He explains how recurrent networks create predictive models of the world, leading to internal self-representations that allow agents to plan their actions effectively. This perspective offers a compelling framework for understanding consciousness as a necessary side effect of efficient data processing.In this clip
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Lex Fridman Podcast
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11
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