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
From this podcast
Lex Fridman Podcast
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11
Related Questions
Can machines achieve consciousness as discussed in the episode Scott Aaronson: Computational Complexity and Consciousness | Lex Fridman Podcast #130 and the clip Consciousness and Computation?
How do deep learning models remember, as discussed in the episode Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 and the clip Importance of Depth?