[FRIAM] Predictive coding basedon deep learning

[Gary Schiltz]

Boy howdy (I've always wanted to say that) does that ring true here in
Ecuador. There are just so many things that I took for granted back in the
USA that I can't get here, be it technology, tools, food ingredients. If
something I brought from there breaks, I make sure to tear it apart to see
if it is something I can fabricate from what I can get here. It really pays
to be a Jack/Jill of all trades. I've come to appreciate the value of
knowing a little of everything, and not much of anything in particular.

On Mon, Jul 29, 2019 at 1:29 PM Marcus Daniels <marcus at snoutfarm.com> wrote:

> Steve writes:
>
> < What I'm trying to expose is the meta-heuristic of being a facile model
> builder/adopter/fitter... and how our technological prosthetics (precut
> colored plexiglass and stain-by-number patterns or GPS/routing systems that
> present opaque-to-the-user preferences or predictive SDE programming
> environments).  >
>
> When technology doesn’t work, take it apart and figure out what is wrong
> with it or how it could be improved.    Human experts, or skilled
> practitioners, can hurt more they help because they have no incentive to
> unpack their expertise into reusable automated systems.   The trick is to
> look at skills as technology and to be facile evolving the technology.
>
> Marcus
> ============================================================
> FRIAM Applied Complexity Group listserv
> Meets Fridays 9a-11:30 at cafe at St. John's College
> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
> archives back to 2003: http://friam.471366.n2.nabble.com/
> FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://redfish.com/pipermail/friam_redfish.com/attachments/20190729/d28f0e30/attachment.html>