hi I'll tell you about backside and
proof of value so let's just start we
have 15 minutes and very simple plan so
I'll talk about the centralized
decision-making or the centralized
governance sit more specifically about
the back feed protocol for that purpose
and finally some example real example
okay so let me try to tell you about
what back fit is with respect to what
the theorem is which you already quite
familiar with so if a liam or if your
blockchain is basically a machine to
machine concerns protocol by that I mean
that the concede it concerns us that let
many nodes distributed around the globe
connect and agree an exchange value this
consensus is basically triggered by
algorithmic measurable quantities a
break a grading the quantifiable data
such as proof of work proof of stake etc
in essence that makes this distributed
computer which allows all those nodes in
the network share a state together with
respect to that backseat protocol is
basically human to human concerns
protocol so it's again it's consensus
protocol it's you know in a way from the
same family but now this consensus is
based and triggered by information that
is only quantifiable or measured
measurable by human human beings that
makes a distant us governance or instead
us decision-making and we'll look into
it more in more details and that
basically makes a shared decision in
some some of different words worse
theorem in order to emphasize the
difference between these two kind of
protocols that comes to
they really address different questions
so the theory of auction addressed the
question of let have many many nodes
this with around the globe and let's ask
how can they agree about this state like
I I do an action I transfer some ethers
to my friend how Oh everyone else will
do we'll know about that the Blackfoot
protocol is a addressing completely
different question you can imagine
minimum people are gathered in the same
room they all see the same data the same
information when I say something
everybody hear me so there is no
question about what the state is we all
see the state but still these millions
of people can ask the question how do we
share or distribute value or allocate
resources shared resources together in a
decentralized way without any hierarchy
or at least rigid hierarchy or or
centralized Authority the most powerful
thing it happens when you put them
together when you put them together just
get what we call the centralized
collaborative organization this is the
true the central network that we have in
mind
so it's distributed in terms of
geographically distributed it also has
completely ceased real governance what
this kind of machinery includes it
includes the Sandra's reputation system
a distributive value distribution
collaborative human curation like decide
what is better what is worse and quality
decision-making now let me emphasize one
thing reputation systems are being have
been in the space or you know in a
broader space or for decades the point
is that every single reputation system
so far is crucially relying on the fact
that it sits on a centralized topology
any reputation system ranking system
that you will take as for today and put
it on this central network will
miserably fail due to simple attacks and
I will argue today that we have built
the first
Cybil resilient reputation system for
the centrist networks which will be
crucial for any possible distant wise
interaction between your movie it has
many nice features it has the emerging
coordination which means in the
reclamation there is no need for agents
to directly coordinate with each other
if the coordination happens
spontaneously just like and coordinate
indirectly and make seemingly
intelligent structures it has economic
incentive for good behavior
economic resilience has scalability if
you remember from Greg's talk via
compositionality and factorization it
has a driving force into micro alignment
which means every subset of the network
is being driven into alignment and
homogeneity well as there is macro
diversity and we get a diversity of
themit at the network level or network
of networks with this kind of machinery
together with the blockchain we can now
imagine many many gigantic networks
whether it's the centers Insurance
network of millions of people who ensure
each other without any centralized
Authority the central startups what it
look like if millions of people will
actually work on a project together with
some centrist collaborative platform in
Turners journalism of millions of free
freelance journalists just post content
edit others content etc it's a reserved
ENB search engine and even multiplayer
games and it's just the just random list
so I won't get into the deep details of
the protocol is it it won't fit in that
time but let me just give some some of
the crux of it so how how it becomes
super easy resilient the point is that
and then identity in the sandra's
network is nothing but the accumulation
or the history of one's action you are
what you do and if you don't do anything
from the network perspective you are
nothing so stable by definition is
nothing and nothing means that he has no
reputation and cannot affect Network
it doesn't always be seated by making a
valuable contribution when I say
valuable I mean by as perceived by
already reputable agents and then
valuable condition is also rewarded with
tokens tokens and reputation the crucial
point is that when one is making a
variation of contribution of another
he's actually putting his reputation on
stake it's kind of proof of stake of
reputation or another way to think about
it as a prediction market for reputation
of for tokens and then if the evaluation
was good or bad we'll make him gain or
lose his reputation now what good and
bad is so good but is defined by a line
with the community rather than this line
of the community the consequence of that
is that it creates a feedback loop
towards alignment those who were the
majority of alignment before will define
the excess of alignment then they will
gain reputation from that step in the
next step they will even have will even
composed a larger majority and that's
what they finalize the access of I might
even strongly more strongly which means
creates a feedback loop of alignment so
what happens about the misaligned agents
the misaligned edge agents has the
incentive to fork the network just as
you for code on github you can fork a
network in new reputation system a new
token system and by that you get micro
alignment and macro diversity that
results in if you follow this process
this is just exactly how evolution works
and if you just follow the process of
the process you get the fractal network
of networks that's how the program
dynamics look like in a very abstract
way you can make a contribution from
that configuration it can get rewarded
with tokens and reputation
once you have reputation you can make
evaluations and then with this
evaluation
now you can evaluate a more contribution
and that it goes on like that sliding
with more details again not too
technical but you can present the
poor protocol in the diagrammatic
fashion which are physicists are very
used to so these are this is a
dictionary for Network collaborated
contribution contributing evaluating a
rotation it looks like that something
like that so this is a network and then
there is an agent who has all of the
reputation of that network and then he's
making some contribution and since he
has all the rotational network he also
he also has all the tokens of that
network and now there is a new
contributor he's making a new
contribution now the first agent can
evaluate that contribution and since he
has all of the reputation as a result
now the second agent received some
tokens and reputation now he can
evaluate back the first contribution and
maybe the first contributors token
rotation will grow and finally there can
be a third könig yeutter right now but
maybe he's already the system so
he is he's part of a new network and he
owns all the reputation there but maybe
the second agent evaluated his
contribution but he's still not the
majority but now also the the first
agent evaluated it and now he's also
getting reputation in the first Network
and his process basically can go on and
on and you can draw it you can make
diagrams there is concrete calculation
behind it and you can prove it it's
fully a super resilient resilient
let me quickly show you three proof of
concept that we've built so far and
there are some more in the pipeline so
basically this is a decentralized chess
game so thousands of people can play
together one hand against the machine so
you can suggest the move yeah let's see
what is better okay that move and then
everyone can see that move and make
evaluation of that move and your
evaluation is of course weighted by
reputation if you make a good move as
judged by the community your passion
will increase if you make a bad move
your reputation will be decreased
at the end of the day or at the end of
the turn the move with most reputation
or most the most potent move for will be
chosen and will be played let's see yeah
yeah so that's especially how it happens
so that's just a proof of concept let me
show you another one oh so that's that's
more specific like a the centrist
application you can also check it out in
chess make dot IO another another
application we've made more more towards
the center of gravity organization is
designing a Chrome extension for slack
so that teams on slack can collaborate
in the sanitized way so they can submit
contribution they can evaluate each
other contribute contribution they can
gain reputation tokens see statistics
and so on so I'll just skip the rest of
that the last application I want to show
you is the most important one this is a
project together with etherium and the
idea here is it basically that we want
to make a proof of concept and more
deeper proof concept of these protocols
and where and for that we're looking for
a wide participation of the community
this is called curate and the idea and
curate is really to curate the content
of the web so it's basically the
centralized library you can add links
you can add links to the library you can
search tags by tags for example so let's
just with Def Con let's see what we get
we get some result about uber make it
Dow etc you can you can vote on the
tagging whether tagging are relevant or
not you can vote about the quality of
the links and for each time you're
making a vote each time you're making a
tag
basically putting your reputation on
stake if the rest of the community
agrees with you your reputation will be
increased if the rest of community
disagree with you your patient will be
it will decrease and gradually we're
getting a humanely humanely curated
database for the web specifically here
for this project central space but more
generally anything you can just
basically can just make a better search
engine by that oh I see the guy that has
made this oh this demo gave two stars
for colony which means it gonna lose a
lot of reputation become because colony
are really awesome so that's our you add
links etc so any end by that and just
saying Keep Calm nothing is under
control and basically that the I would
say gateway for real governance of the
central Network thank you