The Importance of Detail in the Modeling of Molecular Dynamics

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There's a lot of very, as represented by natural language, for example, there’s a lot of really crappy approximation. Well, yes. But the ambiguity could be maybe a feature of it. Right. Is that thin summary, nevertheless true is, can it be a crappy approximation? Sure. That average is correct. You're just measuring the aggregate impacts of these molecules. But there is some tiny, tiny probability that molecules will arrange themselves in some really funky way. And that just measuring that average isn't going to be the main point. Yeah.

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