Hmm.  Every third number in this apparently random sequence is even.
Order?  What's order? Nonrandomness?

On Mon, Nov 30, 2020 at 2:25 PM <[email protected]> wrote:

> All,
>
>
>
> I feel like this relates to a discussion held during Nerd Hour at the end
> of last Friday’s vfriam.  I was arguing  that given, say, a string of
> numbers, and no information external to that string, that no AI could
> detect “order” unless it already possessed a theory of what order is.  I
> found the discussion distressing because I thought the point was trivial
> but all the smart people in the conversation were arguing against me.
>
>
>
> n
>
>
>
> Nicholas Thompson
>
> Emeritus Professor of Ethology and Psychology
>
> Clark University
>
> [email protected]
>
> https://wordpress.clarku.edu/nthompson/
>
>
>
>
>
> *From:* Friam <[email protected]> *On Behalf Of *Jochen Fromm
> *Sent:* Monday, November 30, 2020 3:15 PM
> *To:* The Friday Morning Applied Complexity Coffee Group <
> [email protected]>
> *Subject:* Re: [FRIAM] New ways of understanding the world
>
>
>
> 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 <[email protected]>
>
> Date: 11/30/20 21:55 (GMT+01:00)
>
> To: [email protected]
>
> 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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-- 
Frank Wimberly
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505 670-9918

Research:  https://www.researchgate.net/profile/Frank_Wimberly2
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