app/chip update ideas

app flow input graphic

app flow output graphic








each graphic above links to elements of a potential curiosity {app}\chip and its wear\able\ness – aka: a mechanism simple enough

2 convos & a suggested match-up ness – perhaps everyone does the 3 min by 9am. then there are a couple set assembly places (ie: library, school buildings, theatre/hall, park, ..) – where the app directed/suggested match-ups happen at 10am. (rather than a text – perhaps gps ness directs matches to each other) the 30 min home base group would be determined by that group of 7ish.

note: self-talk as data to maximize and keep maximizing energy ness. a means to leapfrog to a global do-over.

[ps in the open. io dance. decision life bits.]

perhaps chip as aa/ai (artificially augmented, artificially inseminated, placebo ish) rna – p 344 of Siddhartha‘s the emperor of all maladies.. restoring us to a natural state of self-organizing ness..

and this as – beyond word recognition – (even though assuming by word – google translate ness would be at play) – to idea recognition via some iconspeakish ness.. so there’s no exclusion.. tech simple enough to use.. but complicated (which is what tech loves/does well) enough to capture the 7 bill plus idiosyncratic jargons.. enough.. to match us up.. for the day.. as the day)


lots via Steven Johnson‘s emergence…. and Keller’s find via Turing.. ie:

Turing’s work on morphogenesis had sketched out a mathematical model wherein simple agents following simple rules could generate amazingly complex structures;

perhaps the aggregations of slime mold cells were a real-world example of that behavior. Turing had focused primarily on the interactions between cells in a single organism, but ti was perfectly resonable to assume that the math would work for aggregations of free-floating cells. and so … keller started to think…. what if shafer had it wrong… what if the community of slime mold cells were organizing themselves…

what if there were no pacemakers..?

keler and segel’shunch paid off dramatically. while they lacke dthe advance visualization tools.. they scratched out a series of equations..

p 16

.. that demo’d how slime cells could trigger aggregation w/o following a leader, simply by altering the amount of cyclic amp they released individually, then following trails of the pheromone that they encountered as they wandered through their environment.

whoa.. total app/chip idea… hosted life bits idea… trail rather than proof/prescription…
just huge

story in my head…
don’t need mtgs/assemblies/consensus… as we know them…
just need.. each unit/cell/person… listening/consensus ing/ deciding/assessing …. w self……. (self-talk as data) ……and then…. leaving a trail … (hosted-life-bits)… that can io dance…. w others…

as the day… no other orders…
from para…. importance of random wandering.. in that city/trail/forest/….

also… much on Brewster Kahle‘s bit – of alexa et al..

p 95

is there a way around this limitation? in fact, a solution exists already… works around the shortcomings of html to create a true learning network that sits on top of web…

first attempt to nurture emergent intelligence online began with the desire to keep the web from begin so forgetful..

brester kahle.. server farm in alexa internet’s basement….. now it houses what may well be the most accurate snapshot of the collective intelligence anywhere in the world: thirty terabytes of data, archiving both the web itself and the patterns of traffic flowing through it..

p 96

in just 3 years got bigger than library of congress.. kahle says.. so the questino is.. what dow e do now..?

obsessed with the impermanence of today’s datastreams, kahle.. founded alexa with the idea of taking ‘snapshots’ of the web… anytime a surfer encountered a 404 page not found error… he or she could swiftly consult he alexa archive and pull up the original page..

tool that accompanies you as you browse..more than just resuscitate old web pages.. could make connections between web sites.. that otherwise have been invisible….. how are these connections formed? by watching traffic patterns, and looking for neighbors

chip ness

in other words.. the associations are not the work of an individual consciousness, but rather the sum total of thousands and thousands of individual decisions, a guide to the web created by following an unimaginable number of footprints..


p 97

as kahle says, learning from users is only thing that scales to size of the web….. alexa’s *power of association – this site is like these other sites – emerges out of the **desultory travels of the alexa user base..

*power – so chip/server.. sidewalking hosted life bits.. this curiosity/person.. like this curiosity/person.. in the neighborhood (local)…

h    u     g     e

**desultory – whoa… out of sedultory travels.. that’s whimsy.. as the day…

none of those users are deliberatley setting out to create clusters … to enow the web w much needed structure.. they simply go about their business and the system itself learns by watching… if only 1000… not enough data…. more data.. the system starts to learn..

let’s be clear… alexa makes no attempt to simulate human intelligence or consciousness directly…. you don’t teach the computer to read or appreciate web site design. the software simply looks for patterns in numbers, like the foraging ants counting the number of fellow foragers they encounter per hour

why we don’t want/need tech to be human like.. we’re better off if it’s not judgmental… biased..

we can do that.

we haven’t yet.. but we can.

p 98

intelligence of alexa is really the aggregated wisdom of the thousands, or millions of people who use the system..

worth noting.. alexa is not truly a ‘recommendation agent’ it is not telling you that you’ll like the five sites it suggest. it’s saying that there’s a relationship between the site you’re currently visiting and the sites listed on the pull down menu..the clusters that form via alexa are clusters of association, and the links between them are not unlike the traditional links of hypertext.

think about the semantics of a hypertext link embedded in an online article:  you don’t translate.. if you like this.. you’l like this.. the link isn’t *recommending another page; it’s pointing out that there’s a relationship… it’s still **up to you to decide if you’re interested in other sites… alexa’s simply there to ***show you were the clusters are

*recommending  – h  u  g  e

**up to you – like unschooling mom.. strewing things/options… about


p 99

a brilliant site called everything2 employs a neural-net-like program to create a user-authored encyclopedia, with related entries grouped together, alexa-style, based on user traffic patterns,… promising to bring like minds together…. digital-age heirs to the por santa maria..

for many people the distinction persists to this day: we look to our computers for number crunching; when we want cultural advice, we’re already blessed with plenty of humans to consult. other critics fear a narrowing of our aesthetic bandwidth, with agents numbly recommending the sites that everyone else is surfing, all the while dressing their recommendations up in the sheeps’ clothing of *custom-fit culture.

* h  u  g  e

if the computer is, in the end, merely making connections between diff cultural sensibilities, sensibilities that were originally developed by humans and not by machines, then surely the emergent software model is preferable to the way most westerners consume entertainment: by obeying the dictates of advertising….

software like alexa isn’t trying to replicate the all-knowing authoritarianism of big brother or hal, after all – it’s trying to replicate the folksy, communal practice of neighbors sharing info on a crowded sidewalk, even if the neighbors at issue are total strangers, communicating to each other over the distributed network of the web…


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below started from curiosity app specifics page..

resources/people/ideas/things that already exist:


•kosta – started – palomar5 – wifi bank – olovus
•gregory hill – st louis – wifi poverty-stricken – the disruption dept
•scharmer –theory u –
•optimizely – dan siroker from google, seth bannon – amicus


insta grok – kirill kireyev
•project m – marc obrien (pie lab) & john bielenberg
•hourschool – alex pappas and ruby ku
•i wish this was
•code academy
• – ish – to facilitate ongoing gatherings

instigator collective – more links to connections/ideas

live links here


gregory – 7 tools to build apps

Jodhbir –

G couros – possible webs – visuals


below from Rob

A few questions:

1. How about an analog option to the digital app (some examples included in the inspiration list below)?

2. How about pushing the user away from the app as much as possible? Send them to an interesting Twitter account (from a set of curated feeds) or push them to another app for recording thoughts, collecting bookmarks, taking pictures, etc.?

3. How about having the user co-create the app by reconfiguring it in some way or another (adjusting the font, the color, the order, the start page, etc.) or by actually constructing it on their own (not exactly sure how that would work with the digital, but I’ve been sitting on an ide for giving people a candy tin (like Altoids) and having them add things to it like a library card, a museum pass, a tiny compass, a map, a little notebook, a personal totem a la Inception, etc.)?

From Rob – live links here

And some inspiration for further steps, examples of some of the above (almost all of which, if digital, is free):

1. Brian Eno and Peter Schmidt’s “Oblique Strategy Cards”

2. IDEO’s Method Cards

3. Drift Deck

4. SuperBetter

5. A variety of Situationist-inspired and related apps:

Serendipitor and




Wanderlust Stories

Situationist App  [Banned :( ]


6. Even though I know you already know it and have it, Keri Smith’s How to Be an Explorer of the World:

7. Animal Superpowers



More app insight/thinking/doing: