Re: New ways of understanding the world

Posted by Jochen Fromm-5 on Nov 30, 2020; 9:14pm
URL: http://friam.383.s1.nabble.com/New-ways-of-understanding-the-world-tp7599664p7599669.html

The success of Google's deep learning program in predicting protein folding is impressive. Maybe that is what he meant.

https://www.nature.com/articles/d41586-020-03348-4

-J.

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

From: Steve Smith <[hidden email]>

Date: 11/30/20 21:55 (GMT+01:00)

To: [hidden email]

Subject: Re: [FRIAM] New ways of understanding the world

Or a "model of nothing fit to everything we know: useful or merely wrong?"

On 11/30/20 1:41 PM, Jochen Fromm wrote:

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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