The Importance of Symbolic Representation

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In the future of kind of everything is going to become more and more important as this phenomenon of computational responsibility. If you could reduce that computation, there isn't a sense no point in doing the computation. The only way we can figure out what's going to happen next is just let the system run and see what happens. There are always places, there are always an infinite number of places where you can jump ahead. We exist in a slice of all the possible computational reducibility in the universe. And I don't care about most of it - well, the air is still going to be reducible.

Stephen Wolfram is a computer scientist, mathematician, theoretical physicist, and the founder of Wolfram Research, a company behind Wolfram|Alpha, Wolfram Language, and the Wolfram Physics and Metamathematics projects. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:45) – WolframAlpha and ChatGPT
(26:26) – Computation and nature of reality
(53:18) – How ChatGPT works
(1:53:01) – Human and animal cognition
(2:06:20) – Dangers of AI
(2:14:39) – Nature of truth
(2:36:01) – Future of education
(3:12:03) – Consciousness
(3:21:02) – Second Law of Thermodynamics
(3:44:36) – Entropy
(3:57:36) – Observers in physics
(4:14:27) – Mortality