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From YouTube: W53 0mega WG: Initiatives Updates
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.
We gather every week on Wednesday at 8pm CET.
Steward: Sebnem
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A
A
A
A
Was
mostly
in
cello
event
and
also
I
went
to
sustainable
blockchain
Summits
me.
B
B
We
met,
but
we
could
really
bump
into
each
other,
but
it's
true
that
I
was
super
tired,
also
yeah,
the
our
third
third
event
and
I
was
in
Barcelona
as
well.
B
And
but
yes,
I
think
we
should
have
our
gathering.
This
is
one
of
the
I
mean
we
want
to
create
some
Dynamic
connection
together.
A
A
But
yeah
like
will
come
in
like
two
minutes.
C
C
A
C
C
C
B
C
A
C
C
Yes,
well
I
I
yeah
I
mean
I.
I
knew
it
that
I
won't
be
there.
I
couldn't
be
around
because
I
had
to
come
in
on
Friday
already.
C
B
Yes,
on
the
weather
on
Monday,
so
yeah.
C
But
for
that
I
I
need
to
excuse
I
I
at
the
at
the
heat
of
the
last
days,
I
forgot
to
tell
everybody
Pro
from
Tech
that
we
had
this
event
for
Unity
crypto.
C
C
That's
really
value,
That,
You,
Don't
See,
the
value
that
create
you
create
by
doing
not
doing
something
so
yeah,
but
it
was
just
too
much
as
you
can
imagine
too
too
many
too
many
things,
and
and
that's
actually
one
of
the
one
of
the
yeah
one
of
the
insights
that
I
have
like
with
two
actual
full-time
projects
that
are
really
that
in
in
which
I'm
actually
100
needed.
C
I
really
have
you
know,
I
will
I
will
have
a
less
time
or
for
token
engineering
comments
or
just
you
know,
the
the
Omega
working
group,
at
least
as
Steward
I,
would
love
for
us
to
continue
this.
This.
You
know
the
the
safe
space
that
that
we
have
to
come
in
and
really
ask
for
wisdom.
A
B
B
C
There
will
be
two
more
the
next
one
is
about
private
profit
versus
common
benefit
and
I.
Think
Felix
is
going
to
lead
that
one,
but
you
know
Lydia
is
also
always
there
and
what
they
do
is
really
super
structured
focus
group
and
they
also
analyze
the
the
what
we
share
with
them,
and
it
will
also
create
a
research
report
on
that
and
the
first
one
was
about
the
value
system
of
token
engineering
comments.
C
It
was
super
insightful
also
for
me,
for
example,
I
don't
know,
I
I
came
in,
you
know
from
token
entering
Community
or
way
before
there
was
the
the
the
institutionalization.
C
Of
it
and
just
the
questions
that
they
asked
for
sign
up
made
me
remember:
oh
wait.
I
am
not
even
part
of
this,
the
talking
Commons
Association,
which
is
actually
Swiss,
Association
and
so
actually
I.
You
know
when
I
had
this
question
like
since,
when
are
you
part
of
token
engineering
comments,
I
actually
had
to
say,
I
am
not
part
of
it
like
as
an
institution
but
obviously
I'm
I
am
this
community
of
token
engineering.
You
know
it's
I
feel
the
unity
with
it,
so
that
was
pretty
insightful
I,
don't
know
how.
C
Maybe
we
can
make
a
short
round
of
people
who
were
there
and
and
if
of
people
who
might
have
questions
Matt,
do
you
want
to
share
more.
A
Like
maybe
I
couldn't
give
like
a
super
structured
argument,
but
like
what
I
feel
like
there
is
like
definitely
the
sense
of
like
descent
Etc
but
I
need.
We
need
some
sort
of
like
more,
like
maybe
British
environment
I
feel
like
like
you
know
like,
for
example,
we
were
thinking
about
transparency,
I
couldn't
really
comment,
but
what
transparency
involved
like,
for
example,
even
lots
of
people
don't
know
about
like
what
praise
come
from
Etc
so
like
who
is
trade
service
like
what
is
common
stack
doing
about
it?
A
So
maybe
like
these,
the
general
idea,
like
introducing
the
general
idea,
will
be
better
I
feel
like,
but
other
than
that
I
feel
like
this
was
super
like
good
takes
like,
for
example,
from
Jeff
from
you
from
Lydia,
like
I,
couldn't
formulate
an
argument,
but
I
feel
these
need
to
be
done
more
so
that
we
can.
We
can
feel
that
we
can
Target
what
we
have
think
about
what
we
already
think
about
and
maybe
change
it,
and
it
may
reflect
to
a
practical
considerations
of
TC.
C
But
but
I
have
one
question
because
you
know
you
are
working
lead
and
you're.
Also
part
of
this,
you
are
actively
participating
in
in
in
the
scrum
process.
What
is
the
difference
between
the
scrum
process,
like
you
know,
doing
sprints
every
two
week
and
updating
each
other
on
the
work
being
done
and
so
on
versus
such
a
session
like
yesterday?
What's
the
difference,
if
any.
C
A
C
C
I
think
that
that
might
be
inside
that
these
regular
or
making
groups
regular
could
add
more
qualitative
and
then
more
and
more,
this
direction.
Finding
maybe
like
that's
what
we
do
or
what
we
practice
in
in
Omega.
All
the
time
like
this
compass
and
I
yeah.
C
A
Think
humans
are
work
in
an
environment
that
led
them
to
be
creative,
so
as
as
like
a
participant
of
any,
though,
like
I,
believe
decentralized
work
so
like
if
you
are
not
subject
to
the
bureaucracy,
Etc
it's
good,
but
at
the
same
time
I
was
like.
Maybe
you
read,
the
proposed
inverter
article
there
like
I,
was
explaining
the
Stafford
Beer's
idea
of
like
creating
practical
restrictions
that
allows
you
to
be
creative
at
the
same
time,
conduct
work
so
I
feel
like
in
Omega.
A
C
D
C
C
Some
came
in
later
and
some
had
to
leave
a
bit
earlier
or
earlier
and
I
think
we
were,
on
the
whole
five
to
seven
at
all
times,
if,
if
I'm
not
mistaken,
but
what
I
thought
was,
it
was
cool
to
see
Jeff,
so
there
was
more
or
less
coming
in
from
the
trenches,
but
it
was
mostly
talking.
Angeline
comments,
regulars
like
Stuarts,
which
was
also
good.
Marriage,
was
also
there
I
think
when
it
comes
to
talk,
ninja
and
comments
values.
It
was
clear
also.
C
The
communication
was
quite
short
term
so
for
next
one
is
August,
15th
or
18th
at
you
from
Community
test
is
going
to
help
also
with
communication,
and
it's
also
more
about
getting
hatchers
like
people
who
are
have
participated
and
hatching
the
token
and
drink
comments
and
or
or
token
entering
our
Tech
holders,
as
well
as
token
engineers
and
and
stakeholders
for
the
next
one
will
be
important.
C
Yeah
and
and
I'll
ask
I'll,
ask
Felix
again
to
to
share
the
date,
but
eddieu
is
going
to
help
I'm
gonna
August,
mostly
off
mostly
offline,
because
of
family
trip
to
Turkey.
Finally,
after
all
these
years.
C
A
C
Okay,
baby
I
I
need
to
get
back
in
touch
with
with
you,
anyways,
okay
cool
yeah,
but
that's
that's
what
I'm
looking
forward
to
next
yeah?
Okay,
so
about
the
focus
groups,
any
more
questions,
no
Then!
Basically,
please
keep
in
mind
if
you're
around
August
18th
as
the
next
one,
mostly
or
the
the
topic
is
private
profit
versus
common
benefit
and
I.
Think
that's
an
interesting
one,
especially
if
you're
looking
into
or
if
you're
really
burning.
For
this
question
of,
how
are
we
going
to
fund
the
public.
C
Infrastructures,
public
goods
that
are
Global
I
think
it's
much
much
deeper
question
than
we
get
at
Pokemon
dream
comments
or
when
we
talk
about
public
goods
or
open
source
I
think
if
we
would
get
at
the
root
of
that
and
find
the
levels
we
can
really
tackle
questions
of
climate
change
and
the
like,
because
those.
C
A
B
A
Distributions
like
I,
couldn't
get
everyone's
wallet
actually
like.
Maybe
I
can
do
some
more
cat
hurting
like
share
like
please
things,
but
the
ones
that
I
get
I
sent
actually,
but
just
Letty
I
couldn't
find
like
Letty.
Can
you
send
me
again
I'm?
So
sorry
like
with
the
contrast
and
all
the
work
like
I
was
not
the
best
multi-seek
guy.
C
Egg
and
then
about
the
wallet,
is
it
you
know
a
two
or
three
or
what
type
and
then
also
yeah,
whatever
actions
happen
that
you
put
together
the
info
in
an
Excel
file.
Also,
yes,.
A
C
B
C
A
C
C
A
C
A
C
And
and
Robbie
wanted
to
be
here
today,
let
me
oh
okay,.
C
A
C
C
We
could
say:
okay,
give
us
a
report
and
that
would
be
horrible,
Soul
crunching,
but
what
we
can
do
and
what
I
can
do
like
this
is
what
I
live
for
and
then
what
I
start
calling
harvesting
I
don't
know
if
this
is
a
nice
word
or
not,
I'd
like
to
find
a
better
one,
if
you
have
but
I
love
to
go
into
these
creative
areas
and
see
and
understand,
better
and
then
I
make
a
design
spec
from
that.
C
Okay,
that
that
you
know
yeah
and
and
I
would
love
to
learn
how
I
can
be
better
at
it.
So
actual
people
from
both
sides
see
this
as
a
bridge
and
not
me
as
a
translator
kind
of
thing,
but
that
that
is
definitely
something
yeah.
B
Go
ahead,
I
said,
could
I
say
something?
Yes,
yes,
because
this
idea
of
you
know
interdisciplinary
collaboration,
which
is
really
something.
I
mean
it's
important
and
important
for
Deb.
B
Yes,
you're
right,
not
a
translator,
maybe
not
even
a
bridge
but
a
circle.
You
know.
E
B
You
know
participant
to
be
full
all
the
time
in
interdisciplinary
mode
that
you
have
sometimes
the
space
for
interdisciplinary
collaboration
and,
and
so
one
of
the
reasons
I
was
curious
of
the
focus
group
beside
the
fact
that
I'm
really
interested
even
just
to
witness
it,
even
if
the
next
one
will
be
more
tech
for
me,
I'm
very
happy
to
be
there
in
just
in
20
of
it,
but
but
also
because
the
topic
is
very
connected
to
one
thing
that
we
preferred
in
the
global
block
system.
B
Bt
blockchain
Summit
on
Saturday
that
that
so
I
have
this
ID
of
having
some
pop
of
doing
some
pop-up
focus
group
on
internationally
collaboration
from
nfcon
conference
in
September,
and
so
I
have
no
idea.
You
know
what
the
focus
group
are
for
that.
Maybe
if
it's
something
you
think
it
might
be
interested,
we
can,
if
I
can
get
a
bit
of
inside.
You
know
in
terms
of
matter.
C
Yeah
definitely
attend
the
next
one
and
it
is
conducted
by
a
social
scientists.
So
it's
another
protocol,
if
you,
if
you
will
yeah
they'll,
definitely
attend
next
one
but
I.
C
Think
marriage
points
was
really
about
the
the
conscience,
library
and
and
I
realized
that,
because
the
the
work
and
the
artifacts
that
are
being
created
do
not
have
do
not
comply
with
the
standard
output,
which
is
a
design
specification,
it
seems
like
it
is
not
specified,
but
it
is
like
I
can
I
can
really
go
in
and
I
see
like
the
transdisciplinarity
part
is
a
big
hustle.
C
We
need
frames
of
reference
for
it
anyways
and
literally
with
this
Library,
it's
the
first
way
of
even
trying
to
structure
right.
The
token
answering
comments,
token
entering
knowledge
is
still
very
much
dispersed.
It's
horribly
hard
to
actually
learn
get
a
foothold.
That's
why
I
only
really
people
who
are
Auto
deducts
and
are
used
to
teaching
themselves
stuff
and
find
the
footholds
here.
So
this
library
is
one
of
its
kind
first
kind
that
you
know
doesn't
just
give
your
kid.
C
This
is
engineering
and
you
just
do
the
engineering
part
of
token
engineering,
but
actually
you
know,
takes
in
the
whole
flower
at
the
interestingly,
where
token
engine
comments
draws
a
lot
of
people,
psychology
decision,
science,
philosophy,
political
and
political
economy
and
so
on,
law
right
so
I
think
there
this
value
of
transdisciplinarity,
especially
from
this
group
I,
think
that
is
what
what
we
set
out
to
and
you
know,
happy
to
bring
this
down
into
the
land
spec.
C
The
second
part
value
of
novelty,
the
NFC
self-discovery
game,
I,
don't
know
if
people
are
looking
and
following
every
Monday,
almost
Satori
and
others
are
meeting.
It's
really
super
interesting
I
had
the
pleasure
to
be
part
of
it,
I
think
two
or
three
times
already
and
yeah.
It's
like
this
audio
visual
experience
and
nfts
that
people
get
alongside
their
aha
moments.
So
that's
Supreme,
yeah
super
exciting
I,
don't
know
if
anyone
wants
to
add
to
that,
but
definitely
there
I
can
do
things
to
to
bring
it
down
into
design.
Spec.
A
C
C
And
and
that's
why
I
reached
out
to
magic
power,
as
they
may
also
have
a
really
a
way
of
dealing
with
the
complexity
of
this
space?
C
So
definitely
the
way
I
reached
out
to
turavi
I
asked
them
and
he
doesn't
seem
to
have
joined
yet
I,
don't
know
hi.
C
Perfect
perfect
I
was
just
pitching
so
I
had
the
pleasure
to
to
work
with
magic
part
now,
multiple
times
and
I
I
learned
them
connected
to
them
through
block
science,
diagram
and
token
engineering,
because
they're,
basically
the
one
for
yeah
token
Engineers
go
to
when
when
things
are
super
complex
and
then
actual
get
translations
of
the
design
pretty
well.
So
if
Ravi,
if
you
want
to
add
some
things
like
how
or
what
what
input
will
you
need
and,
and
then
basically,
we
can
maybe
put
bring
this
down
together.
C
D
D
At
this
time,
seven
I
I
want
to
listen
a
little
more
right.
I
I
will
I
think
at
the
end
of
this
call.
Hopefully,
I
have
enough
enough
information
to
say
what
more
I
need
right
right
now:
I'm
still
yeah
I'm,
just
still
digesting
I,
think
I.
Think,
okay,
so.
C
Yeah,
okay,
so
good,
so
there
there
are
three
points
that
we
can
go
deeper
into
and
let
me
just
let's
just
briefly:
ask
the
group:
if
there's
any
other
questions
or
things
that
we
should.
C
Yeah
any
questions
from
the
previous
points
else
we're
going
to
go
into
this
proposal
for
the
implementation
of
the
library
and
provide
Robbie
with
some
more
background.
Here's
of
it
for
the
first
time
in
full.
B
C
D
Like
recently-
and
so
you
know
for
what's
been
happening
with
the
mandala,
basically
there's
like
two
different,
like
things
to
like
form,
this
kind
of
like
cool,
little
mandala,
anyways
three
points
of
reference.
You
know
kind
of
like
what
we
do
in
the
Omega
creation
and
or
a
like
your
antidote
or
what
I'm
calling
a
poetic
expression.
D
So
it
could
be,
like
you
know,
reference
to
music
or
whatever,
as
we
get
more
creative
or
whatever
can
be,
what
what
forms
the
first
sport
for
the
mandala
and
then
what
I've
been
doing,
which
becomes
the
game
which
I'm
testing
out
with
my
friends
over
on
imagine
one
of
them
is
that
I
get
them
I
put
them
in
in
doing
this
Spears
of
them,
and
then
that
creates
elements
for
the
mandala
and-
and
it's
kind
of
like
that,
bead
game,
where
it's
Association
of
what
the
the
beads
are
so
like,
for
instance,
you
know
like
what
I'm
doing
with
my
friends
is
I.
D
Have
the
first
sketches
of
what
what
is
I
refer
to
a
Coke
and
my
little
pyramid
character
that
I
that
I
used.
That
was
me
and
Curry
hobo
developed
anyways,
his
first
sketches
after
me,
and
him
talked
about
this
idea.
We
had
an
Imaginarium
and
we
then
I
was
like
oh
I
need.
We
need
to
get
this
character
and
I
went
into
this
run
and
then
he
did
some
sketches
and
then
he
sent
it
to
me
and
I'm
like
okay.
D
We
got
to
do
this
and
then
we
we
form
this
whole
like
little
character
and
I
didn't
know
what
I
was
going
to
use
it
for,
but
that's
that's
just
like
an
example
of
where
we
could
start
this
four
month
out.
So
then,
I
I
asked
my
friends
to
to
give
me
references
to
these
three
poetic
references
that
I
make
via
my
channel
right
and.
B
D
Of
the
people,
my
friends
would
kind
of
get
what
I'm.
What
I'm
saying,
because
I
talk
about
all
this
kind
of
stuff,
all
the
time
with
them
right
so
I
want
to
see
what
they
would
like
you,
you
go
through
the
feed
and
then
you,
you
put
the
references
in
there
and
I'm
like
embedding
more
like
hyperlinking.
The
Spore
mandala
right,
because
I
have
like
this
Vision
later
is
like
the
nft,
helps
you
like,
navigate
web3
and
so
like
whatever
you're
myself
network.
Is
you
plug
it
into
to
your
your
dashboard?
D
And
then
you
get
like
updates
for
Imaginarium,
see
what's
going
on
in
Tech
and
blah
blah
blah?
Whatever
else
you
want
to
like
form
the
different
shapes
of
the
mandala
and
how
you
could
like
form,
your
your
Dynamic
energy
flow,
mandala
and
like,
and
it
could
like
even
like,
we
could
like
make
it
rotate
in
you
know
these
kind
of
interesting
geometry
I've
been
exploring
about.
You
know
Echoes
and
rotations
and
reflecting
yeah
the
real
stuff
yeah.
C
C
D
C
By
Nick
actually
actually.
D
C
Otherwise,
you
would
have
found
another
one
but
like
this
is
this
has
become
the
main
theme
or
the
main
design,
and
basically
also
the
the
connective
element
more
or
less
the
self-discovery
game
and
I
think
you
will
need
more
input,
but
just
so
you
see
the
parts
of
the
puzzle,
you
you
know
them.
You
know
this
crypto
economics,
flower
right.
C
Yeah,
so
basically
from
the
crypto
economy,
foundations
of
crypto
economics,
all
of
these
Sciences
are
actually
into
resource
allocation
and
coordination
problem,
which
is
what
crypto
economics
wants
to
solve,
and
especially
this
shows
everyone
who
comes
into
crypto
economics
and
it
think-
oh,
that's
just
you
know,
cryptography
slashed
with
reverse
Game
Theory
like
yes,
but
not
only
so,
and-
and
you
know
like
who's
who's
behind
or
some
door
openers
like
Trends
AI,
optimization
controls
Theory
as
our
gum,
Industrial,
Systems
and
systems,
engineering
control,
theory,
AI
operations,
research
management,
science
and
then
many
more
like
Sherman
economics
philosophy,
political
science
like
people
who
have
laid
the
foundation
they
they've
seen
or
they
have
appreciated
all
these
and
and
seen
all
these
patterns
right.
C
That
made
them
realize
hey
this,
isn't
something
new.
It's
just
you
know
doing
it
really
a
transdisciplinary
for
real
anyways
and
this
library
is
basically
Roofing
off
of
this
and
and
basically
ask
people
to
curate
their
most
enlightening
pieces
of
readings
or
videos
or
even
I.
Don't
know
music
could
be
anything
that
helped
them
to
actually
make
sense
of
the
space,
and
then
we
asked
them
to
annotate
and
one
of
the
first
of
course
Creations
we
got
like
this,
I
mean
we
have.
C
We
have
one
Collective
creation,
Omega
I
can
share
you
the
link,
but
I,
think
it's
better
if
we
actually
curate
it
once
for
you
or
created
ones,
for
this
design
spec,
but
we
have
a
collection
how
how
it
could
become,
and
zargam
also
did
one
curation.
That
is,
you
know
exactly
like
how
we
want
it
or
how
we
envisioned
it's.
It's
a
super
surprising
one.
C
You
know
he
could
have
chosen
so
many
obvious
ones,
but
it
was
a
very,
very
special
one,
a
very
deep
one
about
what
information
actually
is
and
also
added
a
very
personal
annotation.
So
this
is
exactly
what
what
we
want,
like
this
personal
anecdotal,
almost
annotation,
instead
of
a
typical
abstract
of
a
paper
or
of
a
book
that
you
could
have,
but
you
can
have
this
abstract
everywhere
on
the
internet
right,
but
actually
getting
a
super
personal,
anecdotal
annotation.
C
But
what
this
Imaginarium
or
creative
flow
made
off
of
this
I
think
we
can
go
deeper,
but
these
four
mandalas
are
actually
created
with
the
words
but
the
Creator
uses
in
this
anecdotal
annotation
and
apparently
there
are
some
more
ideas
of
how
these
personal
mandalas
of
the
curators
can
help
them
connect
to
the
pieces
of
the
flower
or
the
Petals
of
the
flower,
but
also
connect
to
other
curators
and
other
Learners
and
so
on.
So
that
part,
and
it
may
be
a
bit
more
specification
Etc.
C
Yeah
the
glass
bits
came
can
be
an
example
which
also
basically
people
play
with
associations.
D
Max,
do
you
remember
the
the
kind
of
content,
not
management,
but
content
review
system?
We
were
talking
about
with
the
with
the
journalist
who
was
doing
their
work
on
bitcoin
Island,
but
she
wanted
to
be
interactive,
almost
imputive
descent
into
this
massive
sea
of
information,
so
not
not
guided
but
but
actually
completely
due
to
when
you
went
in
whatever
direction
that
you
wanted
to
to
find
the
next
thing
that
made
sense.
So
the
next
thing
that
made
sense.
C
D
That
each
each
time
you
enter
this,
this
kind
of
sea
of
knowledge,
you
have
a
different
Journey
depending
on
a
set
of
questions.
You
start
the
I
think
I
think
this
might
be.
This
might
be
a
a
similar
process
and
I
know
how
much
you
enjoy
dealing
with
that.
So
I
think
Max
you're.
C
C
Like
we
want
to
show-
or
the
curator
has
to
somehow
make,
but
because
they
know
how
this
is,
what
they
are
sharing
actually
connects
to
the
other
domains
like
they
are
the
number
of
transdisciplinarity
or
what
is
interesting.
What
could
be
super
interesting
is
one
curator
says
this
resource
connects
to
is
mainly
computer
science,
but
connects
to
systems,
engineering
law
and
Game
Theory,
and
what
would
be
interesting
is
the
second
Creator
comes
in
and
actually
adds
from
their
perspective
that
it's
actually
also
Ai
and
optimization,
and
that's
why
and
their
personal
annotations.
C
C
C
That's
why
something
that
crypto
economics
would
never
emerge
in
Academia,
but
could
only
have
emerged
here
in
in
cyberspace,
and
this
Library
should
yeah
celebrate
that
as
well
as
actually
create
the
links
such
that
we
don't
have
a
linear
list.
But
this
connection,
the
the
actually
it's
not
the
Matrix,
but
the
tensor.
C
Yeah-
and
the
second
part
is
the:
how
do
you
navigate
through
this
should
give
you
two
two
more
values
number
one
is
the
novelty
part?
That's
why
the
self-discovery
game
is
what
emerged
you
know
from
from
the
creatives,
and
the
second
part
is
while
you're
navigating.
Can
you
make
human
connections
and
that's
basically
what
you
know
until
now,
we
think
we'll
come
through
the
personal
annotations
and
then
we
can
look
into
here
or
one
question.
E
No,
it
makes
perfect
sense,
but
I
guess
we
can
get
a
lot
of
value
into
looking
into
back
into
the
social
networks
and
depth
to
layer,
since
what
you
just
described
is
basically
a
relevancy
engine
and
curation
engine,
and
this
we
were
working
with
medium.com
like
when
they
were
shifting
from,
like
a
manual
actual
curators
to
more
of
an
automation
thing.
So
it's
basically
a
lot
of
linear
algae.
The
question
is
it's
not
about
how
to
do
that
is.
E
Is
the
question
if
we
want
to
have
this
process
automated
or
do
we
want
to
keep
it
like
a
decentralized
manual
process,
that's
the
biggest,
because
that
basically
will
tell
us
the
which
approach
should
we
take
from
the
beginning
in
terms
of
the
acts
of
navigation?
Unfortunately,
people,
if
we,
if
you're
looking
for
a
mass
adoption,
we
need
to
follow
the
pattern
which
you
would
like
to
people
used
to
and.
B
E
Major
thing
to
have
user
retention
and
like
length
of
the
test
session
is
basically
the
criteria's
relevancy
of
the
content.
If
the
content
is
relevant
to
you
and
it's,
every
single
piece
of
the
content
is
relevant
and
interesting,
and
you
and
engine
propose
you
the
path
which
is
not
linear
and
can
bring
you
from,
let's
say
Ai
and
computer
science
to
mean
to,
for
example,
you
know
design
and
cognitive
psychology
one,
but
you
should
not
actually
perform
the
navigation.
The
engine
should
understand.
E
What
is
what
to
throws
you
next
out
of
right
performance
on
top
of
this
particular
unit
of
content.
This
is
how
basically
most
of
the
social
networks
and
advertising
entrance
engines
work.
So
so,
even
if
it
will
be
like
a
plain
text
or
like
a
mark,
simple
markdown,
if
the
relevancy
is
very
high
and
the
engine
knows
what
to
propose
you
next,
then
we
will
meet
this
kpi
and
goal
that
you
just
described.
C
I
agree
the
relevancy,
though
just
just
adding
here
some
like
the
more
or
less
the
the
pieces
or
the
relevancy
as
not
just
content-wise,.
E
Right,
like
subject
subjective
kind
of
thing
of
relevancy,
if
you're
into
let's
say
so,
I,
don't
want
to
make
a
decision
every
single
time
where
I
want
to
go
and
explore,
because
my
making
decisions
is
very
kind
of
heavy
on
the
cognition
of
the
user
right,
so
I
need
to
make
the
decisions
or
I
want
to
explore
this,
or
maybe
I
should
go
here
first,
so
the
good
kind
of
thing
will
will
figure
out
what
you
want
more
and
maybe
after
each
content
unit,
you
will
have
two
or
three
options
like
you
have
on
YouTube,
for
example.
E
Right
like
this
is
the
exact
way
those
engine
works
and
they
achieved
the
the
same
result
as
you
want
it's
just
user.
Never
users
are
never
bothering
like
how
they
are
widely
there,
but
it's
basically
more
fun
and
more
engaging
way
to
Surf
through
the
content
right
into
the
sake
of
entertainment
of
learning
or
whatever.
So.
C
Good
job,
so
everyone
meet
Max
and
help
me
from
from
Magic
part
who
really
helped
to
bring
these
crazy
mirror
boards
down
to
Super,
pragmatic
and
smart
Solutions,
based
on
their
background
and
and
experience,
which
is
a.
D
E
B
I,
don't
know
if
it's
useful,
but
I
was
sharing.
I
was
looking
for
the
link
actually
of
I've,
seen
this
kind
of
library
in
artistic
environment.
So
to
me
that
that's
a
confirmation
that
it's
a
good
idea
and
especially
I
I've,
seen
it
in
in
Lisbon
a
few
weeks
ago
about
climate.
B
C
So
I
will
I
think
we're
almost
running
out
of
time.
Two
things
like
one
thing:
I
want
to
show
and
then
but
a
big
part
about
the
budget.
That
is
the
left
so
that
you
know
Max
it's
for
actually
doing
the
proposal.
C
So
basically,
if
you
just
look
at
data
structure
or
model,
it's
it's
this
simple,
it
will
be
the
curator
then
so
we
want
to
get
as
much
unique
perspective
or
links
as
possible
things
that
you
wouldn't
find
in
Wikipedia
or,
as
mentioned
like
on
Goodreads
or
some
review
websites,
so
what
kind
of
lenses
they
have
right?
What
is
their
background
and
then
something
to
share
could
be
I,
don't
know
their
favorite
food
or
their
favorite
food
for
thought
like
a
like
a
citation.
C
Maybe
these
things
will
change
in
the
future,
the
more
being
the
experience,
what
are
really
triggering
inside,
but
then
Creator's
name
the
title
of
the
of
the
curation,
the
link
to
it
and
the
abstract,
like
one
would
expect.
The
second
part
that
is
specific.
Is
this
conciliate
space
this
one
again,
we
could
likely
going
through
this
with
you.
We
would
have
deeper
insights.
C
How
to
do
it
better
and
the
third
part
is
the
anecdotal
annotation
like
them,
yeah
ask
them
not
just
for
the
abstract,
but
actually
why
they
chose
this
specifically,
really
as
personal
or
as
contextual
as
it
can
get
right,
and
here
basically
zangam,
just
added
two
more
curations.
If
you,
if
you
will
right-
and
there
are
others
as
I
mentioned-
we
have
this-
we
have
made
a
collective
creation
test,
but
that
needs
some
cleaning
up
as
well.
C
In
a
sense,
I
would
put
it
into
this
format,
so
you
have
more
example,
and
we
have
a
prototype
more
or
less
of
the
how
this
Library
could
look
like,
and
that
would
be
one
thing
that
I
can
go
in
and
I
will
ask
the
group
to
just
support
to
get
you
this
more
of
these
curations.
Basically
right,
but
zagon
was
the
first.
If
you
will,
outside
or
or
first
early
adopter,
curator.
E
Probably
today
or
tomorrow
and
I'll
torture,
him
a
bit
about
that,
but
implementation
wise.
The
biggest
question
to
me
is
basically:
how
do
we
train
this
machine
learning
model
to
decide
what
is
relevant
next
for
a
particular
user
right
now,
yeah,
it's.
C
Basically,
that's
what
I
wanted
to
ask
you
actually?
Doesn't
it
always
start
manual
and
humans
actually
do.
E
Full
definition,
that's
called
the
hot
start
in
a
machine
learning
and
relevancy
structured
engines
is
when
you
actually
first
ask
you,
can
show
this
flower
to
the
user
first
and
ask
him
what
he
likes
the
most
and
you
use
it
as
an
initial
Matrix
to
start
building
this
tensor
of
his
preferences
right.
So
each
time
you
have
some
like
very
objective
user,
Behavior,
metrics
or
the
user.
How
long
does
he
started
the
content
unit?
What
is
the
you
know
scroll
depth?
E
It
can
be
whatever
right
and
some
Imperial
apps,
like
like
button,
clicks
and
stuff
like
this,
and
then
like
the
moment
this
and
it's
like
almost
like
a
bub
sub
way
of
understanding
the
user.
So
the
moment
you
to
engine
understand
the
software
understand
that
the
user
is
near
the
conclusion
of
his
consumption
of
this
particular
unit
of
content.
We
need
to
decide
what
to
propose
him
next
and
that
proposition
should
not
be
kind
of
smart
or
just
pick
this.
E
We
need
to
hit
an
actual
strike
of
the
subjective
relevancy
to
that
user
right
now,
because
otherwise
it
doesn't
make
sense.
So,
for
example,
if
you
shabnam
you're
into
this,
like
you
know
things
that
I
usually
see
on
on
your
mirror
boards
and
Notions,
like
you
know,
some
complex,
pretty
fuzzy
and,
at
the
same
time,
math
heavy
things.
So
I
can
tell
that
you
are
into
the
data
science
and
you
into
the
creativity
and
stuff
like
this.
So
I
need
to
understand
what
to
propose
you.
E
What
might
be
interesting
for
you
after
you
just
concluded
this.
You
know
consumption,
because
if
I
will,
for
example,
propose
you
something
like
a
I,
don't
know
the
problem
of
automated
market
makers
in
D5.
You
probably
will
be
disappointed
right
of
that
relevance.
You
will
scroll
next,
and
this
is
this
will
happen.
Is
the
question
of,
as
said
at
the
beginning,
it's
a
question
of
how
we
want
to
train
this
model
if
we
want
to
train
it
manually
from
users
like
going
simple
surveys
every
single
time.
E
That's
one
thing:
if
we
want
to
go
like
all
in
and
create
like
an
actual
big
AI
model
that
will
train
like
and
stuff
like
this.
That's
the
other
approach,
because
it
either
a
very
kind
of
tricky
and
simple,
but
heavy
database
of
interactions
and
stuff
like
this
or
that's
an
actual
AI.
Where
you,
you
basically
do
build
this
in
tensors
of
the
in
king
and
queen
linear
algebra,
and
this
kind
of
magic
right.
E
There
can
be
some
random
effects
and
it's
not
even
possible
that
almost
mandatory,
because
the
good
model
learns
every
single
time.
The
way
you
decide
if
the
model
is
good
is
by
the
percentage
of
the
mistake.
This
model
does
so
in
order
to
keep
this
AI
in
shape.
You
need
to
continuously
propose
something
unexpected
by
the
AI
to
make
a
decision
upon
so
and
you
actually
learning
from
these
decisions
when
you
propose
something
like
like.
You
said
surprise,
and
this
is
how
you
increase
the
relevancy
output
of
the
engine.
D
C
C
But
but
I
think,
like
I,
think
the
big
question
is
and
like
do
we
have
anything
to
train
from
this?
No,
like
I,
think
that
we
are
left
to
the
human
training
part
and
then
there
the
question
goes
deeper
and
that's
where
I
wanted
to
actually
to
to
cut
short
or
or
expectation,
wise,
also,
Max
and
Ravi
like.
Where
do
we
stand
with
this?
We
we
had.
C
We
have
again
the
support
of
token
entering
or
techholders
or
going
for
this
Library
for
this
prototype
version
and
see
what
we
want
it
to
be,
and
this
is
for
that
we
get.
We
got
15K
or
something
and
Mart
isn't
here,
but
I
think
we
yeah,
we
we
have
4K
or
so
left
from
it,
and
what
we
want
to
do
is
the
proposal
for
the
implementation
and
what
we
would
love
to
have
is
number
one
like.
C
Have
you
guys
on
board
as
people
who
can
really
implement
this
without
making
it
too
simple,
right,
capturing
and
I
think
that
a
few
really
not
a
few
like
I,
think
the
the
group
here
made
amazing
and
very
surprising
discoveries
with
respect?
Okay,
how
what
is
the
novelty?
How
could
we
do
this
like?
How
do
people
use
this
Library
learn
but
also
learn
each
other
and
create
connections
learn
themselves.
C
If
you
get
this
proposal,
how
much
should
we
include
for
design
and
development
and
not
the
Creative
Design
that
you
know
I
I,
believe
the
ones
who
contribute
it
will
continue
as
well
to
be
and
to
accompany
it,
but
really
to
design
it
as
well
as
a
web
page
and
a
website
with
everything
that
belongs
and
the
implementation
of
it
and
again,
you
know
we
can
do
this
in
in
phases
as
well,
that
the
implementation
is
the
first
MVP
with
the
model
and
with
the
business
model
or
a
sustainability
model,
including
Tech
that
and
if
you
can,
if
it
would
work
out,
I,
find
exactly
how
much
we
have
left
like
if
you
could
have,
and
maybe
I'm
asking
too
much
already.
C
You
tell
me,
but
if
you
could
have
one
or
two
mock-ups,
that
will
make
it
number
one
that
will
highlight
the
the
creative.
C
Input
that
we
gathered
in
in
in
in
this
first
version
so.
C
E
I
can
propose
to
have
something
like
imagenet
for
something
related,
because
in
order
to
fundraise
for
a
model
right,
you
need
to
absolutely
yeah
the
problem
with
the
data
scientists
and
machine
learning,
Engineers
cool.
C
E
Very
pricey,
right
and
I,
for
example,
can
throw
in
some
diagram
and
like
requirements,
document
how
that
should
look
like
out
of
work
and
but
in
order
to
implement
you
need
to
at
least
like
a
hundred
dollars
or
something-
and
that's
already
like
you
know,
almost
like
yeah
a
lot
right,
and
so
the
thing
is
that
I
would
propose
to
describe
the
idea
very
well
resource
funding
and
without
going
for
any
MVP,
because
even
MVP
and
emotional
learning
and
I
AI,
you
know
spaces
are
pretty
awesome.
Very.
E
Key
or
it
can
be
an
article
or
whatever
right
and
then
repeat
the
image
game:
okay,
right,
image,
imagenet
challenge,
because
it's
very
very
similar
the
way
you
train
it's
very,
very
similar
the
image.
Now
that
shows
you
know
recognizing.
The
picture
is
more
of
a
computer
vision
challenge,
but
you
can
take
this
approach
and
make
it
an
adjusted
towards
the
relevancy
right
right.
Do
that
on
top
of
the
actual
asset
you
need
to
throw
in
an
extra
layer
which
is
basically
a
social
graph
of
your
interactions
between
the
users.
E
So
you
need
to
have
this
layer
of
a
social
network,
for
example,
whether
it's
you
and
you
are
friends
with
I
will
call
friends
or
you
have
contact
or
relation
to
me.
Zargum
and
Ravi
right,
sargam,.
E
E
E
You
will
have
a
modifier
applied
to
your
relevancy
score,
depending
on
who
you
have
in
your
friends
right
so
and
that
would
that
can
boost
initial
relevancy
times,
but
then
you
would
be
actually
forced
to
train
your
model
out
and
the
only
way
to
train
it
is
out
of
the
usage
of
your
model
by
people.
You
know
you
know
this
AI
thing
you
constantly
need
to
consume
data
in
order
to
learn
right,
so
you
need
to
have
a
user
base.
E
That's
not
just
coming
in
right,
one
time
and
just
click
something,
but
you
need
to
have
an
actual
retention
and
actual
length
of
the
session.
So
user
will,
you
know,
consume
I,
don't
know
like
10
Community
content
in
order
to
efficiently
efficiently
train
this
model.
So
I
would
say
unless
you
find
a
very
solid
idea.
I
would
not
start
this,
because
now
budget
can
can
fly
out
of
the
window
very,
very
quickly.
C
E
Were
when
we
tried
to
automate
curation
back
in
the
days
we
had
negotiations
with
medium.com
and
then
there
was
like
seven
digit
numbers,
because
how
beautiful
problem
it
is,
and
they
want
so
manual
curation-
is
way
simplier
right,
but
that,
then
you
depend
on
the
user
base
and
the
usage.
Automated
curation
is
much
more
faster
and
you
need
to
have
less
users.
And
if
you
have
proper
ux
and
there's
no
consumption
of
the
unit
content
is
fairly
fast.
Then
the
AI
can
learn
faster.
C
Okay,
let's:
let's
let
that,
let's
let
that
all
sink
in
I
think
the
session
was
already
super
super
helpful
too
yeah.
E
The
way
these
things
are
usually
done
in
order
to
achieve
relevancy
for
the
user.
You
have
a
network,
a
platform
where
you
have
a
simple
algorithm
of
relevancy,
which
is
very
empirical
right,
so
frequency
geographical
or
your
preferences
that
you
just
set
yourselves
or
the
timeline
or
whatever
right
this.
It
should
have
some
relevance
and
you
can
content
content
unit
has
a
traits
which
you
track
and
you
hard
to
train
your
model
on
your
existing
user
base,
without
even
proposing
like
this
is
the
relevancy
and
stuff,
it's
very
hard
to
start
relevancy.
E
C
First,
one
trace
and
also
crowds
source,
the
the
the
the
data
right,
decorations
and
so
on.
So
that's
number
one
and
like
I
said:
that's
another
actually
challenge
you
know.
We've
been
around
now
for
I
am
around
for
five
years
and
seriously.
You
know,
since
three
years,
like
fully
talking
engineering,
saying,
okay,
we
need
more
chocolate
engineers
and
I
couldn't
be
more.
C
You
know
more
disappointed
after
so
many
years
to
just
still
have
only
a
handful
of
practitioners
that
are
always
you
know,
booked
out
and
and
no
time
and
so
on.
So
there's
a
huge
bottleneck.
E
That's
a
key
issue
of
the
crypto
industry
because
a
lot
of
people
like
I,
don't
know
how
much
we're
in
the
industry,
like
maybe
six
years
or
something
I'm
building
those
for
the
main.
The
major
thing
that
I
see
people
tend
to
think
that
the
blockchain
and
web3
is
very,
very
complicated,
but
the
moment
you
face
AI
machine
learning
and
advanced
things
like
a
data
science
and
data
engineering.
E
This
is
this
is
the
exact
moments
when
you
realize
that,
like
doing
an
integration
with
mathematics
is
just
of
development,
it's
not
any
different
from
like
integrating
with
striped
stripe.
Payment
model
is
different
in
its
own
way.
But
it's
you
know
it's
just
another
framework.
The
only
thing
that's
really
complicated
on
a
blockchain
is
basically
the
virtual
machines
themselves
and
coming
up
with
the
compilers
and
the
cryptographic
itself,
but
it's
very
very
low
level.
E
So
very
few
people
encrypted
actually
touch
it,
but
when
people
build
dabs
these
steps,
they
lack
the
things
that
we
are
already
used
to
in
a
web.
To
that
this
convenience
provided
by
the
big
tag,
and
because
of
that
we
spend
a
lot
of
time
in
Instagram.
Tick
Tock,
medium.com
and
Twitter
and
stuff
like
this,
because
those
platforms
know
what
we
are
interested
in
and
the
problem
is,
is
nothing
new.
It
just
never
was
implemented
in
crypto,
yet.
D
I
have
a
slight
slide.
Counterpoint
of
that
I
think
I
think
acts
the
the
the
technology
itself
is
not
more
complicated,
but
I
think
what
is
complicated
and
I
think
token
economics
is
is
very
much
at
the
center
of
this
is
basically,
how
do
you
it's
it's
an
incentive
mechanisms
and
in
emergent
systems
and
I.
Think
that's!
That's!
That's
really
to
me.
The
novelty
of
of
crypto
is
not
not.
You
know
decentralization
per
se.
E
Is
incentives
the
AI
model
that
will
create
like
a
tensor
of
like
a
freaking
I,
don't
know
how
much
data
points
and
and
being
able
to
navigate
it
fast.
So
it's
a
big
data
data
science
have
a
computational
one
projects
that
require
you
to
even
maintain
it
to
run
a
server
that
usually
costs
around
four
million
euros.
But
there
are
people
who.
E
It's
about
creating
a
self-sufficient,
self-reinforcing,
economical
system
that
will
be
decentralized
at
the
same
time
as
effective
for
the
participants
and
at
the
same
time
as
well,
so
that
you
see
the
challenge.
I
I
understand
that
this
is
a
complex
thing,
but
you
need
to
be
an
economical,
PhD
or,
like
you
know,
a
data
scientist
at
the
same
time,
when
we're
talking
about
the
implementation
of
something
like
right,
machine
learning
and
AI,
this
is
the
the
whole
different
space
right.
It's
a
it's
a
lot
of
things
where
people
make
it.
E
The
problem
with
this
is
to
onboard
those
people
to
crypto,
because
those
people
they
make
ridiculous
amount
of
money
like
and
I'm,
saying
ridiculous.
Imagine
a
data
science
department
who
increases
efficiency
of
the
I,
don't
know
Diamond
product
production,
kind
of
Holding
Group
like
if
you
able
to
create
with
something
that
will
boost
this
efficiency
for
one
percent,
you
already
saving
billions
of
dollars
and
or
vessel
shipment.
Like
you
know,
this
kind
of
you
can.
E
So
on
yeah,
so
it's
challenging
it's
very
challenging
and
it's
not
impossible
and
it's
definitely
something
that
we
put
our
feed
there
for
some
time
and
we
did
something
that
I
may
be
proud
of
it.
But
it
wasn't.
It
was
not
a
great
success.
It
was
some
sort
of
a
success,
but
it
was
not
like
you
know
to
the
moon
or
something
yeah,
because
it's
it's
maybe
like
20
000
people
on
Earth
who's
capable
of
doing
such
cool
things.
C
Okay,
no
I
agree
with
you
and
we
see
it
here
again
as
well
like
the
thing
that
we
need
for
implementation
is
the,
as
you
say,
the
web
infrastructure
that
needs
to
enable
the
data
data
harvesting
and
all
of
that
obviously.
B
C
So
my
suggestion
will
be
this
before,
like:
let's
let
this
group
come
up
with
something
that
is,
you
know
includes
all
of
the
insights
of
today
and
then
we
we
share
it
with
you.
C
You
just
look
at
it
and
and
play
it
back
and
and
we'll
see
we'll
see
how
how
far
it
took
techholders
want
to
go
or
can
go
okay,
we
might
need
to
break
it
down
into
more
pieces
and
and
I-
don't
know,
let's
see,
but
that
was
super
super
helpful.
Already
I,
don't
know
Mark's
you
just
joined.
Can
you
do
you?
Have
it
in
mind
how
much
budget
we
have
left
from
the
token
entering
conscience
Library,
the
first
funding
we
got.
E
I'm
thinking
of
it
how
to
approach
it
with
like
a
very,
very
low
effort
first,
so
what
I
would
actually
do
I
would
do
something
like
Wikipedia
right,
yeah
I
would
do
a
user
profile
where
a
user
can
tell
the
AI
which
topics
or
Fields
the
user
prefers
right,
and
then
we
can
Mark
each
article
or
con
content
unit
with
a
similar
traits.
So
then
we
can
recognize
a
pattern
which
users
with
which
pattern
goes
to
which
link
by
which
links
it
will
be
just
a
hyperlinked,
but.
E
And
do
the
comparison
with
their
preferences
and
the
traits
that
the
content
unit
have
so
we
will
be
able
to
build
initial
relevancy
for
a
specific
type
of
the
user
right.
It's
not
that
this
user,
because
the
relevancy
is
the
broadcasting
live
thing
when
we're
talking
about
the
actual
efficient
thing
which,
like
I,
don't
know,
Tick,
Tock
or
Instagram
runs
or
YouTube
It's
a
real
time
thing,
but
in
order
to
start
training
your
model,
you
can
do
it
like.
You
know,
step
by
step.
So
basically
you
have
your
interest,
you
you!
E
This
is
your
route.
This
is
how
you
explore
and
we
can
even
map
this
thing
additionally
to
show
people
how
how
you
interact.
This
will
be
a
pretty
fun
experience,
I
guess,
to
learn
what
is
your
pattern
and
how
you
move
through
the
content?
Yeah?
Who
does
not
require
any
kind
of
complex
UI
to
interact
with
you
just
need
to
have
the
user
profile
again
a
trace
assigned
to
the
content
unit,
and
then
we
need
the
software
that
will
track
it
right.
The
machine
learning
model
that
will
just.
B
C
And
we
still
have
people
here
who
are
actually
interested
in
those
traces
because
they
create
art
from
it,
so
that
I
think
that
there
there
we
have
actual
people
who
are
interested
in
you
know
being
the
human
looking
at
those
traces
and
making
creating
some
insight
of
it.
So
that's
also
an
additional
data.
Qualifier
question.
E
That
they
have
covered
before
we'll
be
able
to
create
a
proposal
for
such
an
MVP
is
how
much
and
who
will
be
doing
the
lab
work
of
mapping
this
right.
So
there
should
be
your
content.
There's
a
hyperlinked
like
just
like
a
Wikipedia
like
for
the
sake
of
Simplicity.
Imagine
maybe
an
article.
There
should
be
someone
who
is
basically
clicking
on
the
links
and
then
telling
that
this
word
is
the
link.
This
thing
is
right,
so
we
need
to
hyperlinked
a
Content
table.
Con
data
set
basically.
E
C
Okay,
so
I'm
calling
I'm
just
adding
some
manual,
hyperlink,
annotators
and
so
on,
but
we
we
have
that
number
one,
and
we
also
have
that
as
people
who,
who
want
to
learn
from
this
Library
I
think
they
will
be
also
the
ones
who
will
add,
maybe
not
the
the
duration
or
qualitative
part,
but
they
will
create
basically
navigational
data
and-
and
those
are
the
ones
who
we
could
also
confront
with
those
two
three
questions.
Kind
of
I
think
you.