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. > > > - .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC http://friam-comic.blogspot.com/
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