Hi Pamela,

While open source gives some transparency, our direction is to move toward
more distributed AI where our data is not given to a centralized authority
before the AI is applied. Rather, we think that the AI should be more out
at the edge of the network with our sensors/cameras/microphones. The
derived information from the raw data could then be shared via agents
transacting on our behalf for collective action while maximizing privacy. A
Santa Fe Approach if you will :-)

We've been using Steve Mann's term Souveillance
<https://en.wikipedia.org/wiki/Sousveillance> (in opposition to
Surveillance) as a shorthand for this idea along with the serverless p2p
solutions we're calling Acequia - a more grounded social structure and
water distribution system in opposition to a faceless centralized Cloud eg
water vapor in the sky :-)

-S

_______________________________________________________________________
stephen.gue...@simtable.com <stephen.gue...@simtable.com>
CEO, Simtable  http://www.simtable.com
1600 Lena St #D1, Santa Fe, NM 87505
office: (505)995-0206 mobile: (505)577-5828
twitter: @simtable

On Sun, Jun 5, 2016 at 4:04 PM, Pamela McCorduck <pam...@well.com> wrote:

> I have some grave concerns about AI being concentrated in the hands of a
> few big firms—Google, FaceBook, Amazon, and so on. Elon Musk says the
> answer is open sourcing, but I’m skeptical. That said, I’d be interested in
> hearing other people’s solutions. Then again, you may not think it’s a
> problem.
>
>
> On Jun 5, 2016, at 3:22 PM, Robert Wall <wallrobe...@gmail.com> wrote:
>
> Hi Tom,
>
> Interesting article about Google and their foray [actually a Blitzkrieg,
> as they are buying up all of the brain trust in this area] into the world
> of machine learning presumably to improve the search customer experience.
> Could their efforts actually have unintended consequences for both the
> search customer and the marketing efforts of the website owners? It is
> interesting to consider. For example, for the former case, Google picking
> WebMD as the paragon website for the healthcare industry flies in the face
> of my own experience and, say, this *New York Times Magazine* article: A
> Prescription for Fear
> <http://www.nytimes.com/2011/02/06/magazine/06FOB-Medium-t.html?login=email&_r=0>
>  (Feb
> 2011).  Will this actually make WebMD the *de facto* paragon in the minds
> of the searchers?  For the latter, successful web marketing becomes
> increasingly subject to the latest Google search algorithms instead of the
> previously more expert in-house marketing departments. Of course, this is
> the nature of SEO--to game the algorithms to attract better rankings.  But,
> it seems those in-house marketing departments will need to up their game:
>
> In other ways, things are a bit harder. The field of SEO will continue to
>> become extremely technical. Analytics and big data are the order of the
>> day, and any SEO that isn’t familiar with these approaches has a lot of
>> catching up to do. Those of you who have these skills can look forward to a
>> big payday.
>
>
> Also, with respect to those charts anticipating exponential growth for AGI
> technology--even eclipsing human intelligence by mid-century--there is much
> reasoning to see this as overly optimistic [see, for example, Hubert
> Dreyfus' critique of Good Old Fashion AI: "What Computers Can't Do"].
> These charts kind of remind me of the "ultraviolet catastrophe" around the
> end of the 19th century. There are physical limitations that may well tamp
> progress and keep it to ANI.  With respect to AGI, there have been some
> pointed challenges to this "Law of Accelerating Returns."
>
> On this point, I thought this article in *AEON *titled "Creative Blocks:
> The very laws of physics imply that artificial intelligence must be
> possible. What’s holding us up?
> <https://aeon.co/essays/how-close-are-we-to-creating-artificial-intelligence> 
> (Oct
> 2012)" is on point concerning the philosophical and epistemological road
> blocks.  This one, titled "Where do minds belong?
> <https://aeon.co/essays/intelligent-machines-might-want-to-become-biological-again>
>  (Mar
> 2016)" discusses the technological roadblocks in an insightful, highly
> speculative, but entertaining manner.
>
> Nonetheless, this whole discussion is quite intriguing, no matter your
> stance, hopes, or fears. [image: 😎]
>
> Cheers,
>
> Robert
>
> On Sat, Jun 4, 2016 at 4:26 PM, Tom Johnson <t...@jtjohnson.com> wrote:
>
>> See
>> http://techcrunch.com/2016/06/04/artificial-intelligence-is-changing-seo-faster-than-you-think/?ncid=tcdaily
>> <http://techcrunch.com/2016/06/04/artificial-intelligence-is-changing-seo-faster-than-you-think/?ncid=tcdaily>
>>
>> Among other points: "...why doing regression analysis over every site,
>> without having the context of the search result that it is in, is supremely
>> flawed."
>> TJ
>>
>> ============================================
>> Tom Johnson
>> Institute for Analytic Journalism   --     Santa Fe, NM USA
>> 505.577.6482(c)                                    505.473.9646(h)
>> Society of Professional Journalists <http://www.spj.org/>   -   Region 9
>> <http://www.spj.org/region9.asp> Director
>> *Check out It's The People's Data
>> <https://www.facebook.com/pages/Its-The-Peoples-Data/1599854626919671>*
>> http://www.jtjohnson.com                   t...@jtjohnson.com
>> ============================================
>>
>>
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