The Benefits of a Large Language Model for AI Tutoring

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A large language model type technology combined with computational language is going to be able to do pretty well at teaching us humans things. And it's going to be an interesting phenomenon because you know, sort of individualized teaching is, is a thing that has been kind of a, you know, a goal for a long time. I'm also surprised how quickly I was able to generate this idea. You know, I swear I swear I did not think about this before and it's funny how quickly which is a very concerning thingbecause that that probably this idea will probably do quite a bit of damage and there might be a very large number of other such ideas.

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