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

[George Duncan]

Ambulances, at least, in Rome look like this
[image: image.png]
George Duncan
Emeritus Professor of Statistics, Carnegie Mellon University
georgeduncanart.com
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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> 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
> https://wordpress.clarku.edu/nthompson/
>
>
>
> -----Original Message-----
> From: Friam <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>
> 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 on behalf of 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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