Re: New ways of understanding the world

Posted by Jochen Fromm-5 on Nov 30, 2020; 9:07pm
URL: http://friam.383.s1.nabble.com/New-ways-of-understanding-the-world-tp7599664p7599668.html

Dennis Overbye recently had a similar NY Times article. It claims that "in 10 years, machine-learning will be as essential to doing physics as knowing math". What do you think? 

https://www.nytimes.com/2020/11/23/science/artificial-intelligence-ai-physics-theory.html

-J.

-------- Original message --------

From: Jochen Fromm <[hidden email]>

Date: 11/30/20 21:42 (GMT+01:00)

To: The Friday Morning Applied Complexity Coffee Group <[hidden email]>

Subject: [FRIAM] New ways of understanding the world

Chris Anderson, the editor in chief of Wired, asks if a computer can find a theory of everything merely by learning from data. Unfortunately most deep learning models are like a black box which delivers good results but is hard to understand. Would a theory of everything be a theory of nothing? It reminds me of Russell Standish's book "theory of nothing".

https://www.wired.com/2008/06/pb-theory/

-J.

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