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From YouTube: W30 0mega WG: DAO Contractor time allocation and more!
Description
The 0mega Working Group examines the ethos of and ethics in token engineering as well as the shared vision and diversity of its communities.
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A
To
plug
in
those
assumptions
into
the
models
that
we
simulate,
so
I'm
super
curious,
like
everyone
else
who
joined
today,
I
assume
it
is
because
of
the
topic
very,
very
cool
and
then
sonia
had
mentioned
it's
about
30
minutes
or
so.
If
you
want
to
add,
if
there
are
any
questions,
we
can
also
take
them
and
we
do
have
two.
A
I
believe,
if
not
one
we
do
have
two
adjacent
topics
also
about
you
know:
how
do
these
structures
that
we
create
and
engineer
change,
behavior
and
whether
we
as
human
agents
alive
and
with
many
faculties
to
actually
stay
on
top
of
these
meta
games,
how
we
handle
these
situations
and
so
on?
Yes
from
merit
and
also
manu
right
manu,
you
will
also
add
something.
So
I
will
try
and
help
with
the
time
management,
but
we
should
have
30
to
40
minutes
for
sure.
B
That's
awesome:
chebnam!
That's
really
exciting!
Thanks
thanks
for
setting
the
agenda
and
the
container
there
as
well
so
I'll
just
give
a
little
intro
the
presentations,
mostly
going
to
be
carried
out
by
austin
here,
who's
been
working
on
the
agent-based
modeling
for
the
proposal
inverter.
B
Sort
of
so
really
interesting
approaches,
and
I
do
want
to
say
like
this-
is
in
the
grand
scheme
of
things.
This
is
really
early
work.
I
mean
obviously
the
whole
field-
token
engineering,
brand
new,
even
data
science,
even
that
concept
of
data
science.
You
know
really
only
over
the
past
decade,
has
it
been
becoming
a
field
in
its
own
right.
So
a
lot
of
these
concepts
are
brand
new,
they're
super
cool
and
I
hope
we're
able
to
communicate
the
magnitude
of
that
today,
but
still
really
early
stages.
B
So
just
setting
some
templates
and
patterns
that
can
be
followed
by
token
engineers
and
modelers
and
looking
to
really
expand
and
go
a
lot
deeper
and
utilize.
These
across
different
applications
in
the
coming
years
and.
A
B
Yeah
on
that
note,
I
think
I'll
go
ahead
and
hand
it
over
to
austin.
B
C
So
one
of
one
of
the
biggest
problems
as
people
who
are
working
on
projects
and
researching
is
the
time
that's
used
to
apply
for
funding
and
finding
funding
takes
up
a
lot
of
administrative
time.
C
So
kind
of
this
is
from
an
article
that
was
written
by
block
sciences
lead,
and
it's
just
showing
that
in
the
allotted
time
that
you
have
when
you're
for
a
lot
of
times
that
you
get
funding
for
a
project
or
a
research
proposal,
a
lot
of
that
time
is
spent
doing
admin,
work
and
the
actual
time
doing.
Work
is
greatly
reduced.
And
what
we
want
to
do
is
that
we
want
to
minimize
this.
A
C
Yeah
I
have,
I
have
a
little
bit
of
my
own
experience
when
I
was
doing
research
in
physics
and
when
I
was
working
on
a
project
involving
quantum
computing
and
the
d-wave
computer,
and
what
what
I
found
was
really
frustrating
is
that
there
was
a
lot
of
different
groups
all
all
around
the
world,
trying
to
achieve
something
somewhere.
We're
trying
to
find
the
quantum
advantage
we're
trying
to
find
specific
problems
that
are
better
using
the
quantum
computers
and
quantum
viewing.
C
C
C
And
we
want
to
reduce
the
administrative
burden
on
the
researchers
and
the
people
actually
doing
the
work,
and
one
of
the
other
problems
is
it's
difficult
to
oversee
collaboration
between
organizations
that
want
to
see
the
stuff
funded
like
just
this
little
event,
diagram
is
showing
that
you
know
like
if
there
are
two
or
more
organizations
are
interested
in
funding
a
project
that
has
you
know
something
that
they
alliance
with
their
interests
and
their
values,
it's
very
difficult
to
actually
collaborate
and
have
a
joint
venture
without
just
adding.
You
know,
like
a
intersection
organization
itself,.
C
So
the
whole
idea
is
that
you
know
we
have
some
organizations
that
kind
of
pour
funds
into
a
funnel,
and
this
allows
them
to
have
like
a
there's.
A
sort
of
pre-negotiated
contract
of
this
is
the
project
goal.
This
is
how
much
funds
are,
the
researchers
are
going
to
be
paid,
and
this
is
how
long
we
expect
research
or
projects
to
go
on
for,
and
the
funds
are
stored
in
this
funnel
and
it
kind
of
leaks
out
slowly
over
time
to
the
people
who
have
been
approved
and
are
trusted
to
work
on
this
project.
D
Yes,
awesome,
I
have
a
question.
Thank
you
for
being
here,
I
started
in
the
pool
of
fans.
There
is
a
percentage
allowed
it
to
to
the
pool
of
funds
that
go
to
the
to
the
contributors.
Has
this
been
thought
before?
Is
this
something
that
has
to
be
voted
again
and
this
implemented
new
mechanisms
to
so
to
speak?.
C
I'm
sorry,
I'm
not
sure
I
understand
the
question:
are
you
asking
if,
like
this
funding
model
has
been
done
before.
D
No,
if,
yes,
if
the
mechanism
for
the
proposal,
inverter
has
to
be
again
analyzed
for
the
contributors
that
come
to
the
proposal
or
either
if
the
previous
proposal
is
going
to
work
with
this
mechanism,.
C
Well,
I
suppose
that
there
still
could
be
more
than
one
proposal
that
is
aiming
to
do
a
similar
thing
in
the,
but
just
with
the
different
funding
model.
B
Yeah
yeah,
I
think
it's.
The
part
of
the
concept
is:
can
this
be
reused
for
proposals
that
are
already
existing
and
sort
of?
Can
this
just
be
plugged
into
existing
infrastructure?
And
I
think
the
answer
is
yes,
it's
very
much
there's
a
lot
of
overlap
between
how
this
is
going
to
look
in
practice
and
the
current
system,
like
you
know,
some
people
think
this
was
going
to
evade
completely
the
need
to
go
and
write
proposals
on
dows
and,
like
you
know,
win
over
the
the
sort
of
political
aspect
of
achieving
that
funding.
B
That
still
has
to
all
be
done,
and
you
can
still
just
go
to
a
dow
and
you're
going
to
write
a
proposal
on
that
dow,
the
same
as
you
would
today,
but
the
difference
is
instead
of
the
this
is
offering
a
standard
face
to
sort
of
receive
the
funding
and
then
allocate
it
continuously
on
a
standard
mechanism.
So
right
now
you
know
if
you
want
to
you
score
a
proposal
on
a
day.
B
Maybe
you
just
take
those
funds
into
your
own
personal
wallet
and
take
responsibility
for
sort
of
allocating
them
to
the
people
involved,
or
maybe
it
goes
to
a
gnosis
multi-sig,
and
you
can
have
some
multi-sig
voting
on
how
to
distribute
those
funds.
But
it's
it's
ad
hoc,
that's
a
different,
so
this
piece
is
going
to
be
the
receiver
of
funds
from
proposals
and
it
will
enable
a
one
one
entry
point
for
multiple
dows
to
be
to
know
that
they're
sending
those
funds
to
this
standard
mechanism.
B
That's
going
to
have
a
predefined
negotiation
with
the
brokers,
so
the
dows
have
assurance
of
how
those
funds
are
going
to
be
allocated
over
time
and
can
go
through
a
bit
of
a
negotiation
process
on
what
that's
going
to
look
like
over
time.
What
those
milestones
are
going
to
look
like.
So
it's
very
much
plugging
into
the
current
existence
as
it
exists.
It's
really
just
creating
that
pool
that's
going
to
receive
the
funds
it's
going
to
create
a
standard.
D
E
Great
thanks
would
the
trusted
contractor
squad
be
like
similar
to
the
signers
of
like
well
multisig?
I
guess
you
could
say
maybe
the
ones
approving.
B
Exactly
well,
I'm
sorry
go
finish
your
question.
Maybe
I
interrupted.
B
So
you
can
basically
think
of
the
proposal.
Inverter
like
we
see
there,
it
says
pool
of
funds.
You
can
pretty
much
think
of
that
as
a
gnosis
multispig,
but
with
additional
it's,
it's
like
a
gnosis,
multisig
plus
plus.
So
it's
going
to
have
predefined
conditions
on
how
much
funds
it's
allowed
to
distribute
per
epoch
and
you
define
the
length
of
an
epoch.
It
could
be
a
day
a
week
a
month.
B
And
then
you
kind
of
hinted
at
like
who
is
deciding
these
things?
I
I
don't
want
to
spoil
the
presentation,
or
maybe
this
we
don't
go
too
much
into
the
details
of
the
mechanism,
but
essentially
there's
three
roles
on
the
proposal:
inverter,
there's
an
owner
there's
payers
and
there's
brokers
who
are
doing
the
work
and
of
course
this
is
still
still
early
stages
and
we're
in
the
design
phases.
B
So
some
of
these
things
are
subject
to
change,
we're
just
trying
to
finalize
the
initial
minimum
viable
product
specification,
but
you
can
actually
customize
the
sort
of
governance
policy
per
instance
per
proposal
inverter.
So
you
could
have
a
case
where
the
owner
just
makes
all
the
rules
so
the
and
the
owner
is
essentially
the
person
who
starts
who
initializes
the
proposal
inverter.
B
So
the
owner
could
decide
who
are
the
brokers,
how
the
funds
are
allocated
and
all
of
these
things
you
could
also
have
a
sort
of
democratic
process
where
the
owner
or
the
payers,
all
get
to
vote.
You
can
even
have
a
bottom-up
approach
where
the
brokers
themselves
are
voting
on
how
new
brokers
can
join
and
how
the
funds
are
allocated.
F
Yeah,
it
was,
I
know
that
we
talked
about
at
some
point,
that
there
was
a
series
of
down-a-down
mechanisms
that
were
in
place.
You
know
I
do
wonder,
is
that,
like
is?
Is
this
thing
like
a
suite
in
that
toolbox,
or
is
it
a
completely
separate
thing
or
do
they
have
some
relationship
or
you
know,
maybe
you
can
kind
of
talk
about
that?
A
little
bit.
G
Yeah,
like
I
can
take
on
that,
so
for
the
initial
like
minimum
viable
product.
I
don't
think
we
have
discussed
that
this
will
be
connected
to
other
tools,
but
for
the
future
iterations.
We
have
been
talking
about
creating
joint
ventures
in
the
pool
phase
like
treasury
management
strategies
etc.
So
for
the
first
iteration
like
pl,
please
correct
me
if
I'm
wrong,
but
for
the
first
iteration
I
don't
think
it's
connected
to
any
other
tooling.
For
now,.
B
Yeah-
and
I
think
it's
important
to
note
that
it
is
sort
of
the
vision
of
prime
doubt
like
prime
dow's
sort
of
essence
is
doubt
doubt
to
dow
tooling,
so
this
is
in
contained
within
a
vision
of
sort
of
a
whole
suite
of
tools
for
like
launching
bootstrapping
and
empowering
doubts
and
and
doubt
to
doubt,
collaboration,
but
yeah
you're
right
mer
this
this
as
we're
designing
so
far.
It
it
lives
independently.
You
could
launch
the
proposal
inverter,
and
so
so
it's
kind
of
both.
I
guess.
C
C
In
which
case
you
know,
the
project
is,
is
stopped
and
the
funds
are
you
some
of
it
is
allocated
to
the
the
workers
and
any
anything
that's
remaining
would
be
returned
back
to
the
funders,
and
the
funders
and
owners
also
have
the
additional
rules
of
voting.
So
this
is
kind
of
like
this
is
the
governance
mechanism
of
how
we
decide
who
are
the
trusted
group
of
contributors.
C
So
it's
just
a
way
to
vote
so
that
you
can
say.
Okay,
this.
This
wallet
is
a
trusted
wallet
and
we
put
them
on
the
white
list
and
they're
free
to
join.
C
C
Okay,
so
one
of
the
things
we've
developed
is
kind
of
a.
This
is
just
a
simple
model
where
we
take
all
of
the
parameters
of
the
proposal.
These
are
the
pre-negotiated
terms
of
the
proposal
like
how
how
much
each
broker
or
each
contributor
is
the
minimum
epoch.
Is
you
know
how
long
they
have.
C
That's
how
many
funds
are
allocated
to
all
of
the
contributors
at
every
epoch.
The
minimum
horizon
is
like
it's
like
the
minimum
amount
of
funds
that
must
be
in
the
project
or
in
in
the
funnel
at
all
times,
and
this
this
just
didn't
share
that
this
is
just
ensure
that
the
contributors
have
some
sort
of
like
safe
safety
net
of
you
know,
I
I
know
that
I
will
be
paid
for
this
amount
of
time
in
advance.
C
C
B
So,
just
I'll
just
comment
on
that,
so
minimum
horizon
is
kind
of
like
an
insurance
for
the
workers.
It
benefits
them
in
two
ways.
Firstly,
it
kind
of
guarantees
work.
B
You
did
the
brokers,
so
it's
almost
kind
of
like
a
completion
bonus.
But
if,
if
payers
have
put
in
more
funds
like
even
excess
past
the
horizon
and
the
work
is
finished,
then
the
worker.
C
Okay,
so
now
I'll
kind
of
go
on
to
the
the
modeling
that
we've
done
so
far.
B
So
on
the
left
here,
where
each
line
is
an
individual
agent
right
in
a
wallet,
so
it's
something
to
note
in
the
simulations
and
kind
of
in
general,
like
one
wallet
equals
one
agent.
So
all
we
know
on
the
blockchain
is
there's
a
whole
bunch
of
wallets
out
there
and
they
can
take
actions
they
can
like
send
their.
They
can
make
a
transaction,
they
can
send
their
tokens
from
their
wallet,
someone
else's
wallet
and
a
wallet.
B
Theoretically,
it
could
be,
a
person
could
be
someone
on
their
metamask
or
it
could
actually
smart
contracts
or
wallets.
Also,
every
smart
contract
can
hold
tokens,
so
the
idea
is
that
one
wallet
equals
one
agent
in
this
case.
We're
really
imagining
agents
to
be
people.
You
know
either
workers
or
or
dows.
In
this
case
an
agent
can
be
a
it's
a
wallet,
so
it
could
be
a
multi-sig
wallet.
B
It
could
be
a
dow
treasury,
it
could
be
an
individual,
and
so
that's
what
we're
seeing
over
here,
we're
tracking
all
the
wallets
or
you
can
call
them
agents.
Basically,
one
wallet
equals
one
agent,
and
this
like
austin,
was
saying
the
those
with
less
funds
tend
to
be
tracking
upwards,
and
those
with
more
funds
tend
to
be
tracking
downwards.
Pretty
interesting.
C
I
B
Yeah,
so
it's
the
white
list
function
of
the
proposal,
inverter,
which
means
not
anyone,
there's
a
barrier
to
becoming
a
broker.
A
broker
needs
to
be
approved
through
some
sort
of
governance
policy,
which
is
determined
at
the
initialization
of
the
contract.
B
So,
for
example,
the
simplest
governance
policies
that
the
owner
manages
the
white
list
so
for
any
broker
to
register
on
the
as
a
broker
they
would
need
to
their
wallet
address
would
need
to
be
manually
approved
by
the
owner
and
there's
other
governance
policies
like
all
the
payers
can
vote
on
approval
of
the
white
list
as
well,
but
yeah,
it's
the
white
listing
mechanism,
that's
going
to
prevent.
So
then
we
kind
of
kind
of
bleeds
into
off-chain
dynamics
of
you
know
how
how
or
why
is
someone
going
to
be
approved
as
a
broker?
B
You
know
in
this
in
and
around
the
tec.
We
we
all
kind
of
have
identities
here.
You
know
we
have
our
discord
identities
and
we
do
tend
to
build
up
trust
amongst
each
other.
So
it's
it's
pretty
intuitive
in
this
kind
of
environment,
but
in
a
purely
decentralized
sort
of
trustless
environment.
It
might
be
more
interesting
like
how
how
could
some
completely
anonymous
programmer
come
in
and
become
a
broker
on
a
project?
B
B
It
very
well
could
be
and
it
could
be
intertwined
like
I
could
imagine
someone
creating
a
project
and
they
just
say
you
know
what
the
white
list
for
this
project
is.
The
trusted
seed
like
if
you're
a
trusted
seed
member,
then
you're
eligible
to
join
this
project,
and
so
the
trusted
seed
is
really
cool
like
identity
trust
curate,
almost
like
a
curation,
it's
a
white
list
in
its
own
right.
So
it's
a
good
good
analogy
to
draw
yeah.
E
Or
I
guess,
like
the
people,
approving
brokers,
to
be
part
of
the
white
list.
B
Interesting
very
interesting
concept
because
we
only
have
three
roles:
we
have
the
owner,
the
payers
and
the
brokers,
but
this
is
a
conversation
we
had
of
like
do.
We
want
to
whitelist
the
payers
like
what,
if
we
don't
want
money
or
funding
from
a
certain
person
or
organization
for
some
reason
like?
Is
there
any
reason
we
would
want
to
block
people
from
paying
into
a
contract?
B
And
then
we've
also
talked
about
on
sort
of
the
opposite
of
the
spectrum
having
the
power
with
the
brokers
like,
maybe
the
the
brokers
should
have
full
autonomy
over
a
project
like
you
know,
maybe
the
owner
and
the
payers
are
just
not
going
to
be
involved
at
all
and
the
brokers
are
gonna,
decide,
hey.
We
need
more
roles
here.
We
need
more
funding
here.
B
We
need
to
go
in
this
direction,
so
I
don't
think
I'm
really
answering
your
question,
but
I
think
it's
it's
a
concept,
that's
really
rich
and
we're
having
like
really
active
dialogue
over
these
different
possible
governance
policies.
C
Okay,
so
I
guess
the
other
thing
I
want
to
show
is
on
the
right
side.
This
is
just
for
one
single
proposal,
so
this
was
kind
of
the
step
from
going
from
simulating
how
multiple
brokers
would
interact
with
one
proposal
and
going
towards
multiple
brokers,
interacting
with
multiple
proposals.
C
Yeah,
so
this
is
just
on
the
right
side.
It's
just
showing
how
the
the
brokers,
who
join
very
early
will
tend
to
have
more
funds
by
the
end,
as
time
goes
on
as
they
allocate
more
funds
and
then
the
ones
to
be
later
have
a
smaller
share
that
they
they
could
leave
and
join
again
at
any
time.
A
lot
of
that
behavior
is
just
random
right
now,
since
I'm
just
taking
it
as
a
probability
function.
C
C
C
I
guess
that
close
analogy
would
be
kind
of
like
people
with
similar
tastes
or
films
and
similar
genres,
but
the
machine
learning
would
be
able
to
find
similarities.
That
would
be
more
difficult
for
us
to
find,
and
so
we're
approaching
this
in
kind
of
a
similar
way
where
what
an
action,
what
an
agent
would
want
to
do
with
with
certain
proposals,
we
could
factorize
that
as
well.
C
That's
it
depending
on
you
know
like
if,
if
an
agent
is
primarily
in
a
contributor,
a
researcher,
then
they're
more
likely
to
join
proposals
and
what
kind
of
proposals
would
they
refer
and
that
might
be
based
on
things
like
like
their
qualifications
or
who
else
is
in
that
proposal?
Or
maybe
it's
like
something
very
local
and
it
affects
something
that
they.
A
C
Taking
any
machine
learning
pretty
much
any
machine
learning
approach
is
that
we
need
data
data
data
right,
so
we've
been,
you
know,
we've
been
looking
for
and
we
have
some
data
on
proposals
and
we're
kind
of
using
that
as
like
a
first
best
guess
on
how
to
categorize
different
proposals,
and
we
match
that
to
kind
of
imaginary
agents
and
we're
just
we're
just
assigning
them
random
numbers
at
this
moment
all
right.
A
And
no,
this
is
so
so
so
interesting.
It
could
be
also
that
you
know
once
these
models
are
also
fed
with
data
that
these
agents
literally
get
notified.
If
there
are
proposals
matching
you
know,
you
might
want
to
try
that
proposal.
A
It
looks
like
they
could
use
your
your
your
yeah,
your
contribution,
super
cool.
C
C
You
know
different
actual
real
wallets
doing
things
with
the
proposal
invader
and
then
we
could
actually
use
that
as
a
recommendation
engine
so
that
researchers
are
able
to
more
easily
find
projects
that
they'll
want
to
and
can
contribute
to,
and
maybe
the
other
way
as
well,
so
that
daos
can
find
projects
that
already
exist
and
collaborate
with
the
other
groups
that
were
interested
in
it.
A
And
also
the
meta
profile,
no,
how
is
it
called?
I
always
mix
the
name,
but
basically
the
the
profiles
of
meta
gamers,
for
example,
or
that
taking
on
the
skill
tree
working
group
or
people
really
looking
into
okay.
How
can
we
actually
self-identify?
A
So
all
of
these
are
actually
really
good
sources
that
we
should
be
fun.
You
know
get
off
the
ground
so
that
this
type
of
research
can
really
become
useful
right.
G
Also,
shame
I'm
related
to
what
you
recommend.
We've
we've
been
talking
about,
for
example,
not
just
recommending
proposals
to
wallets
user,
but
we
will
also
planning
to
recommend
proposals
to
other
dollars
that
are
doing
proposal
through
nlp
mechanism.
G
G
H
Because
you
mentioned
my
meta
profiles.
H
So
you're
correct
me
if
I'm
wrong,
but
what
you're
proposing
is
taking
the
data
from
the
profiles
and
the
way
the
users
customize
their
profiles
and
their
preferences
and
then
feed
back
from
all
the
info.
That's
on
the
profiles.
A
A
Seeing
this
work,
at
least
from
my
perspective
before
that,
for
example,
I
was
unable
to
put
it
all
together,
like
what
is
it
for
other
than
you
know,
showing
or
getting
more
reputation,
but
actually
really
putting
all
of
those
data
refineries
together
and
making
use,
especially
in
the
topic
of
cooperation,
because
the
way
the
proposal
funding
mechanisms
work
everywhere
right
now
is
the
same
as
they
have
worked
before
dollars
and
that's
yeah.
What
austin
also
said
nothing
new
there.
A
It
will
then
just
cause
competition,
waste
of
resources
and
so
on,
but
now
yeah
all
of
these
are
coming
together.
Super
cool.
H
F
I
have
a
question:
are
we
gonna?
Is
this
like,
for
example,
in
terms
of
projects
or
whatever,
like,
let's
say,
for
example,
I
got
a
bunch
of
po
apps.
Would
this
be
able
to
be
like
okay,
hey
you,
you
looked
at
these
poe
apps
and
now
maybe
here's
some
recommendations
about
whatever
else
we're
doing.
B
That's
so
cool,
yes,
we
haven't
quite
made
that
connection.
Actually,
in
the
early
days,
we
were
talking
a
lot
about
nfts
and
how
nfts
could
be
used
with
this
and
and
we're
talking
about
the
skill
trees
and
everything,
though
I
feel
like
those
conversations,
are
a
bit
on
the
back
burner.
These
days,
we've
been
so
much
focused
on,
like
I
don't
know,
treasury
management
inside
the
vaults
and
the
ability
of
like
okay.
You
have
all
these
different
tokens
coming
in.
B
F
E
I
wonder
if
we
could
tie
into
the
library
and
the
apprentice
ships
idea
as
well,
because,
like
maybe
depending
on
the
content,
that
people
feel
more
cold
towards
devouring
from
the
library
they'll
be
able
to
help
other
community
match
them
with
communities
who
are
in
need
of
help
in
that
area
of
the
crypto
economic
flower
and
then
like
it.
B
Absolutely
that's
so
great
to
build
a
bridge
there.
It's
good
that
we're!
I'm
really
happy
that
we
have
this
cross-pollination
in
this
session
right
now,
because
I
think
there's
so
many
rich
ideas
in
omega
that
carry
over
and
yeah.
I
think
bridging
this
having
the
foresight
to
build
this
in
collaboration
with
things
like
the
library
is
really
important.
A
Just
to
summarize,
I
think,
once
this
is
up,
we
will
get
a
lot
of
data.
There
are
a
lot
of
sources,
so
yeah,
no
perfect,
perfect,
I'm
just
looking
at
the
time
we
have
ten
more
minutes.
I
would
say
my
tomato
just
take
it
in
for
the
whole
of
this
presentation.
If
that's
okay
with
you
and
I'll,
make
it
up
to
you
next
time
by
hosting
yeah,
yeah
sure
boston
gets
to
present
yeah.
J
Yeah
yeah
yeah,
definitely
and
it'd,
be
better
for
me
to
to
think
about
how
what
I'm
working
on
regarding
the
capability
approach
will
be
applied
to
what
long-term
financial
representation.
Thank
you.
G
G
A
little
abstract
on
the
working
document
about
the
research
question,
you
can
take
a
look
afterwards.
It
may
be
connected
to
a
proposal
inverter
as
well
as
like
we.
F
A
Very
cool
we
have
an
follow-on
session
for
sure
I
think
so,
let's
take
it
all
in
austin,
please
feel
free
to
take
the
the
rest
of
the
time.
C
Okay,
this
is
that's
pretty
much
the
as
far
as
we've
gotten
in
terms
of
current
progress.
C
You
know
like
we're
looking
for
more
data
that
we
can
use
to
the
more
realistic
a
simulation
we
can
get
before.
Actually
launching
the
proposed
inverter,
the
better.
C
So
kind
of
this,
this
is
kind
of
where
we're
at
right.
Now
we
are
looking
to
develop
the
ui
ux
and
we're
looking
to
develop
on
the
back
end,
which
would
kind
of
be
how
we
interact
with
the
blockchain,
either
through
solidity
or
we've
been
talking
to
radical
drips
because
they
have
kind
of
like
a
similar
way.
They
they
have
a
more
like
a
blockchain
patreon
kind
of
model
where
it
just
flows.
Out
to
that,
you
know
it's
very
similar
where
they
have
funds
going
into
a
funnel,
and
then
it's
distributed
out.
C
And
the
other
other
part
is
we're
developing
this
model
as
both
a
digital
twin,
and
I
also
want
to
expand
it
out
as
more
of
like
a
planning
tool.
So
before
you
know
like
before,
you
actually
deploy
a
proposal,
you
can
kind
of
look
at
how
how
things
will
go
in
the
future,
how
long
the
project
is
expected
to
last
or
how
long
do
you
have
until
you
have
to
go
back
and
add
more
funding?
C
We
have
the
dog
food
model,
which
is
this
is
just
the
idea
that
companies
that
develop
products
should
use
their
own
product,
so
you
know,
like
a
company
that
creates
dog
food,
should
believe
in
their
product
enough
to
feed
it
to
their
own
dogs.
So
that's
kind
of
fun.
A
It's
been
used
in
software
like
it's
the
most
common
term,
right,
we're
dogfighting
here,
tech
as
well,
but
I
didn't
know
that
is
actually
coming
from
dog
producing
companies
having
to
eat
their
own.
C
B
Coming
soon
coming
soon,
there
is
a
there
is
a
proposal
up
under
advice
process.
It's
been
there
a
few
weeks,
there's
been
some
really
great
comments
on
it
and
we're
working
on
a
next
iteration
of
it.
We've
had
tons
of
insights
since
we
threw
that
up.
So,
I
think,
probably
early
next
week
there.
Actually
we
might
do
one
more
round
of
conviction
of
advice,
process
and
then
and
then
into
the
conviction.
Voting
so
yeah
keep
your
eyes
out.
There'll
be
announcements
coming
when
the
proposal
is
live.
G
And
one
last
thing:
I
want
to
mention
guys
if
you
like
this
product
token
engineering
commons
is
also
part
of
not
just
funder,
but
also
contributor,
as
well
so
combs
working
group
has
been
doing
like
it
has
will
be
starting
to
doing
more
marketing
etc
for
the
proposed
inverter.
G
A
Very
very
cool,
and
do
you
already
know
like
what
type
of
proposals
would
be
perfect
or
would
like?
Is
there
already
topic
or
areas
where
we
know
create
a
lot
of
value,
gain.
B
There's
been
a
really
clear,
concrete
case
where
there's
been
a
few,
but
with.
B
Rewards
research
group
hosted
by
the
african
engineering
academy.
It
was
exactly
the
proposal
inverter,
it
was
it's
sponsored
by
various
dows
near
dao.
Ocean
protocol
and
gnosis,
probably
could
have
even
got
it
launched
before
the
tec
was
live.
So
if
the
tc.
F
B
Sort
of
a
treasury
like
a
little
micro,
dow
treasury
and
then
distribute
those
tokens
evenly
to
the
contributors.
There
was
a
few
contributors
from
the
olivia
is
a
major
contributor
to
the
rewards,
research
and
then
long
tail
financial
provided
about
three
facilitators
as
well,
and
so
that
production
of
the
rewards
research
group
was
exactly
a
sort
of
manifestation
of
the
proposal.
Inverted
process.
Just
of
course
done
all
manually.
F
B
Yeah,
the
the.
F
B
They
don't
have
so
much
patience,
they
move
too
fast
for
us.
I
I
think
we
had
a
conversation
like
six
months
ago
and
of
course,
they've
they've
they're
doing
gravity
moves
fast,
which
is
pretty
cool.
So
I
think
when
the
proposal
inverter
is
live,
they
would
love
to
get
their
hands
on
it,
but
meanwhile
they're
totally
setting
up
their
own
infrastructure.
A
If
you
need
genetics
to
put
dog
food
too,
just
kidding,
but
I
mean,
with
the
knowledge
hub,
a
kind
of
a
te
library
and
also
the
topic
of
token
engineering
ethics.
Both
topics
is
something
we
want
to
have
more
engagement
of
token
engineers
and
actually
provide
these
things
for
token
engineers
across
the
space
right.
So
I
believe
such
such
a
process
of
inverting
proposals
could
also
be
almost
like.
A
I
don't
want
to
say
marketing,
but
communication
and
dissemination
opportunity
as
well,
especially
the
better
the
recommendations
get
basically
the
easier
it
is
because
today
you
have
to
go
everywhere
and
knock
on
each
door
and
so
on.
So
if
we
could
really
connect
these,
but
what
do
you
think
how
long
it
will
take.
B
Yeah
first,
I
just
want
to
say
you're
spot
on.
I
think
that's
kind
of
the
grand
vision
that
a
lot
of
us
are
are
seeing
and
we
want
to
go
for-
is
like
the
front
page
of
decentralized
work
or
sort
of
a
dashboard
for
finding
your
people
and
finding
your
projects
and
getting
funding
and
all
that
kind
of
stuff.
B
Our
current
roadmap
runs,
I
think,
until
march
10th
and
around
the
end
of
that
roadmap
is
like
the
smart
contract
development,
but
I
don't
think
it's
enough
time
to
actually
deploy
the
contracts,
but
if
we
do,
if
we
are
able
to
assemble
a
really
strong
solidity
team
kind
of
around
the
end
of
february
and
through
march,
it's
possible
that
we
could
have
v1
contracts
out
in
april.
Of
course,
this
is
software,
and
you
know,
usually
things
take
a
trip
at
least
three
times
they.
B
Yeah
but
yeah:
that's
what
we're
aiming
for.
A
Super
super
cool,
and
one
more
like
work
is,
would
be
something
that
you
would
be
integrating
for
us.
This
is
also,
of
course,
not
in
setting
storm,
but
is
it
yeah
our
integrations.
B
A
H
A
Cool
cool,
no
fantastic,
I
look
forward,
so
these
are
the
things
that
will
get
us
from
old
behaviors
into
new
cooperative
schemes
or
help
us
to
to
get
there.
I
mean
we
are.
Definitely
we
definitely
have
those
intentions,
but
if
the
tools
keep
you
in
the
old
olden
tracks,
there
is
really
a
lot
of
additional
work.
You
need
to
do
on
top
to
actually
go
and
get
to
collaboration.
So
super
cool
that
you
picked
this
up
and
wonderful.
Also
it's
based
on
work
of
gem
and.
J
F
B
Origination
of
the
ideas
and
how
it's
un
evolved
and
and
kind
of
been
handed.
B
Kind
of
a
name
that's
been
carried,
and
then
it
off
and
kudos
to
prime
dao
for
really
really
carrying
the
flame
and
growing
it
into
a
full
blowtorch.
At
this.
J
B
H
B
Yes,
the
if
you
find
the
mvp
spec
we
that
we're.
We
would
truly
appreciate
comments
on
that
doc.
A
Very,
very
cool
with
that
I
would
say
thank
you
for
coming.
It's
yeah,
it's
perfect!
We
should
have
more
of
these
sessions
where
we
yeah,
where
we
find
this
progress
towards
tools
that
actually
help
us
to
to
create
more
human-centered
organizations.
Wonderful,
thank
you.
Everyone
thank
you
for
making
those
connections
as
well.
Nick.