[FRIAM] Optimizing for maximal serendipity or how Alan Turing misdirected ALife

[thompnickson2 at gmail.com]

Thank God for that!  

 

Nick 

 

Nicholas Thompson

Emeritus Professor of Ethology and Psychology

Clark University

 <mailto:ThompNickSon2 at gmail.com> ThompNickSon2 at gmail.com

 <https://wordpress.clarku.edu/nthompson/> https://wordpress.clarku.edu/nthompson/

 

 

From: Friam <friam-bounces at redfish.com> On Behalf Of George Duncan
Sent: Thursday, May 28, 2020 11:06 AM
To: The Friday Morning Applied Complexity Coffee Group <friam at redfish.com>
Subject: Re: [FRIAM] Optimizing for maximal serendipity or how Alan Turing misdirected ALife

 

Ambulances, at least, in Rome look like this



George Duncan

Emeritus Professor of Statistics, Carnegie Mellon University
georgeduncanart.com <http://georgeduncanart.com/> 

See posts on Facebook, Twitter, and Instagram

Land: (505) 983-6895  

Mobile: (505) 469-4671

 
My art theme: Dynamic exposition of the tension between matrix order and luminous chaos.

 


"Attempt what is not certain. Certainty may or may not come later. It may then be a valuable delusion."


>From "Notes to myself on beginning a painting" by Richard Diebenkorn. 


"It's that knife-edge of uncertainty where we come alive to our truest power." Joanna Macy.

	

 

 

On Thu, May 28, 2020 at 10:49 AM <thompnickson2 at gmail.com <mailto:thompnickson2 at gmail.com> > wrote:

Marcus, 

Somewhere I thought I learned that if you have a heart attack in rome, the van that comes to pick you up IS black, and the attendants are similarly dressed.  Can you imagine the horror?  

Does anybody know if this is true, or just another recent nightmare. 

Nick 

Nicholas Thompson
Emeritus Professor of Ethology and Psychology
Clark University
ThompNickSon2 at gmail.com <mailto:ThompNickSon2 at gmail.com> 
https://wordpress.clarku.edu/nthompson/



-----Original Message-----
From: Friam <friam-bounces at redfish.com <mailto:friam-bounces at redfish.com> > On Behalf Of Marcus Daniels
Sent: Thursday, May 28, 2020 10:40 AM
To: The Friday Morning Applied Complexity Coffee Group <friam at redfish.com <mailto:friam at redfish.com> >
Subject: Re: [FRIAM] Optimizing for maximal serendipity or how Alan Turing misdirected ALife

I would say that companies like Twitter should massively annotate serious offenders and cancel accounts as needed.    It doesn't have to come from top, but it isn't going to come from the bottom.   There should be processes to keep conspicuous liars from ever gaining visibility.   They don't have to involve black vans, as satisfying as that might be.   But maybe advanced natural language processing codes that escalate issues to editors.

On 5/28/20, 9:15 AM, "Friam on behalf of uǝlƃ ☣" <friam-bounces at redfish.com <mailto:friam-bounces at redfish.com>  on behalf of gepropella at gmail.com <mailto:gepropella at gmail.com> > wrote:

    The additional power is to mislead someone into thinking an expression is about one thing, when it's really about another thing. I.e. in this context, it's a way to troll and "riff" off some arbitrary string you found in some other post. In some contexts, however, it's more serious. Conspiracy theories use metaphor liberally in order to *trick* suckers into thinking something that's simply not true.

    On 5/28/20 9:08 AM, Marcus Daniels wrote:
    > It seems to me like the value of metaphors fits into a sparse dictionary learning approach.   If you want to compress a picture of, say, the new Apple headquarters, it helps if one has seen a circle or a torus in some form, and can just refer to that.   It would also help to have seen pictures of trees and shrubs to tweak, and to have seen solar panels.   Some features will be unique, and simple atoms are needed to refine the image.  I'm skeptical that metaphor is the best enduring representation though.   After one has seen many circles and ovals (or conic sections), a parameterized (even dependent) type becomes evident. 


    -- 
    ☣ uǝlƃ

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