►
Description
This week we just take the hour to walk through the progress that the tec lab has made on templating the dao hatch parameters! Next steps are to modularize the code and provide the TEC with instructions on how to modify their own parameter choices.
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A
I
really
admire
you,
so
it's
so
nice
to
have
like
these
complementary
things
that
are
in
the
same
in
the
same
community.
So
thank
you.
B
B
Good,
it's
really
good
to
see
you
here.
This
is
a
perfect
lab,
because
so
this
is
going
to
be
a
bit
of
a
different
kind
of
lab.
It's
not
going
to
be
so
much
building.
It's
I'm
calling
it
a
metal
lab
because
we're
going
to
do
a
handoff
of
this
tech,
hatch
params
that
we've
been
doing.
B
I've
actually
got
a
lot
of
inspiration
from
the
simulator
working
group
that
vitoria
that
you're
always
in
because
I
think
the
tech,
hatch,
params
dashboard
needs
a
bit
of
a
project
management
handoff.
So
I'm
going
to
go
through
a
little
bit
of
that
today,
so
people
can
get
exposed
to
that
process,
that
project
project
management
and
having
a
community
pick
up
the
development
of
a
project
and
keep
it
going.
B
B
I
don't
have
my
panda.
B
B
B
B
Okay
insert
column,
one
left
awesome.
B
B
So
we
have
these
three
parts
here,
I'm
going
to
we're
going
to
talk
about
this
community
handoff
of
the
token
lodge
hatch,
params
and
really
spin
off
and
get
this
started
as
a
as
a
standalone
project,
and
this
is
really
exciting,
because
the
token
log
system
is
ready
to
go
and
we
played
around
with
this
a
little
bit
mid-week
in
a
params
call
with
the
basically
the
stewards,
the
community
stewards
for
the
tec
and
there's
a
lot
of
excitement.
And
it's
it's
looking
like
it's
in
a
good
place
for
its
kind
of
final
stages.
B
So
what
I've
done
is
you
could
just
as
well
go
to
the
tec
lab
repo,
and
I
was
working
under
this
directory
lab
8,
which
would
be
today,
but
I've
basically
taken
everything
here:
I've
modularized
the
tech,
all
the
all
the
code
and
functionality,
the
data
reading
code
and
these
param
classes.
B
I've
put
them
all
into
a
module
here:
called
tech,
dot
pi
for
tec
hatch
and
I've
taken
all
this
code
and
migrated.
It
basically
just
copied
it
over.
So
we're
not
going
to
work
in
this
lab
8
space.
B
B
To
have
this
funded
and
we're
going
to
be
using
this
in
combination
with
the
tech
lab
and
what
this
does
is
is
it
allows
us
to
use
our
tokens
to
vote
on
github
issues,
so
people
are
going
to
use
the
code
that
we've
built
out
in
the
lab
now.
In
this
token,
log
hatch,
params
repository
and
what
I'm
going
to
do,
is
I'm
going
to
open
up
the
agenda
for
today
and
oh,
I
think
this
is
linked
already.
B
B
So
this
is
connected
to
the
token
log
hatch
params
repository
and
if
we
see
the
issues
here
we're
going
to
go
through
these
in
a
bit,
because
this
is
what
needs
to
be
updated
for
the
the
tech
hatch
app.
But
I
made
an
example
one,
so
this
is
just
to
convey
the
idea.
This
is
one
way
we
would
be
able
to
to
do.
It
is
by
posting
images
a
very
simple
way
to
do
it,
but
basically,
everyone
in
the
community
can
is
going
to
be
able
to
open
up
these
dashboards,
these
tech
hatch
dashboards.
B
So
this
is
the
dandelion
voting
one
where
we
can
configure
the
parameters
that
we
want
to
launch
with,
and
we
get
the
visualization
to
show
what
those
parameters
mean
and
what
they're
changing.
B
Then
we
can
come
here.
Oh
okay,
I'm
on
the
wrong
network.
Sometimes
I
forget
how
to
do
this,
but
if
we
connect
to
the
right
network
here,
we'll
actually
see
all
and
we'll
do
a
demo
of
this
at
a
later
time.
Actually,
wesley
is
interested
in
doing
a
whole
lab
session
on
token
log,
and
I
think
that's
going
to
be
next
week,
so
we'll
get
a
really
deep
dive
into
this.
B
How
it
was
built,
how
it
works,
what
the
story
was
behind
it,
so
so
that'll
be
really
nice,
but
essentially
here
we'll
see
all
the
issues
associated
with
a
particular
repo.
So
this
is
actually
pointing
at
the
tech
lab.
So
we're
probably
going
to
want
to
point
one
towards
this
token
log,
hatch,
params
repository
and
then
we'll
have
our
community
members
come
and
play
with
the
dashboard
and
post
their
results,
and
then
the
whole
community
will
be
able
to
vote
on
them
here.
So
what
we
need
to
do
as
a
community.
B
Now,
as
there
are
the
tech
developers
as
as
the
lab
attendees
is
think
about
how
to
transition
everything
we've
built
so
far
into
a
final
phase,
so
that
the
community
has
access
to
it
very
easily
and
there's
a
few
ways
to
do
that.
One
is
we
could
take
the
notebook
and
deploy
it
on
a
google
co-lab,
which
is
essentially
jupiter,
nope
jupiter
notebook
hosted
in
the
cloud,
so
anyone
can
access
it.
You
don't
have
to
think
about
cloning,
the
repo
or
installing
the
python
packages
or
launching
jupiter
notebook.
B
B
B
B
I
can
jump
to
spirit
spirit
foundation,
workspace
or
jump
to
my
documents.
Probably
oh.
I've
never
gone
to
my
documents
folder
before,
so
it's
not
registered
in
my
jump
but
jump
to
tec.
This
is
it's
really
cool.
Allows
you
to
jump
around
your
file
system
so
now
that
we're
here
in
the
tec.
I
have
this
cloned
already,
so
I'm
just
going
to
cd
into
it
token
log
hatch
params.
So
this
is
the
repository
make
sure.
I'm
in
sync,
let's
check
what
my
upstream
is
get
remote,
dash
v,
yep,
tec,
commons,
okay,
master!
B
B
Which
was
how
we've
been
working
on
this
so
far
is
in
the
jupiter
lab.
So
we
have
our
test
tech,
okay.
So
what
I've
done,
like
I
mentioned
before,
I
pulled
out
all
the
code
into
tech.pi,
so
now
we're
importing
modules.
So
we
can
do
this.
This
gives
us
a
lot
of
nice
functionality
for
later,
and
actually
anyone
in
the
world
could
now
use
this
tech
module
import
it.
We
could
actually
make
a
python
package
out
of
this
post
it
on
pi,
pi
and
people
could
pip
install
it.
B
Gotta
love
python,
so
we
just
say
from
tech
import,
read
impact
our
data,
read
c
stack
data
and
we're
going
to
import
our
classes,
impact
hours,
data
impact
hours,
formula,
the
hatch
and
the
dandelion
voting,
and
that
allows
us
to
use
python
panel
to
render
this
stuff
quite
easily
with
not
much
code,
because
it's
all
sort
of
abstracted
away
in
the
module,
and
so
this
is
good.
So
as
developers
I
want
to
be
inspiring
you
and
some
of
you
might
be
following
along
already.
B
That
would
be
super
cool
and
we've
added
some
stuff
to
this
since
last
time.
This
is
the
juiciest
part.
This
needs
to
really
be
showcased.
This
is
the
actual
target
payout
based
on
the
parameters
that
we
set
up.
So
one
thing
that
we've
been
talking
with
the
tech
spec
group
is
that
we're
going
to
get
rid
of
this
anywhere.
You
see
this
term
expected
we're
actually
going
to
get
rid
of
that,
because
it
ends
up
being
confusing,
because
it's
a
part
of
the
there
used
to
be.
B
This
parameter
here
expected
raise
per
impact
hour,
and
we
just
feel
like
that's
a
pretty
big
concept
for
people
to
grasp.
So
griff
was
like
well,
it's
really.
What
it
is
is
it's
shape
of
the
curve.
It's
the
shape
of
the
growth
of
the
impact
hours
as
we
raise
more
so
griff
was
thinking
well,
let's
just
simply
call
it
shape
of
the
curve,
and
so
that
is
one
approach,
but
I
feel
like
that's
a
bit
too
generic,
so
I
came
up
with
this
title
called
the
raise
horizon.
B
C
Just
for
a
heater
and
shardic
who
may
not
know
impact
hours
are
earned
by
people
who
are
working
on
the
tec.
So
we
do
this
thing
where
we
dish
praise
and
then
that
praise
gets
quantified
into
impact
hours
and
then
the
and
then
those
impact
hours
will
turn
into
tokens.
It's
kind
of
like
the
team
percentage
that
you
know
if,
if
like
someone's
doing
an
ico
or
something
it
goes
to
the
team
except
it's
almost
like
source
cred,
where
you
earn
it
based
off
of
the
work
that
you
do
so
yeah
and
then.
D
C
Yeah
and
so
like
now,
we
have
aligned
the
incentives
where
the
more
money
that
we
raise,
the
less
percentage
is
taken
like
the
people
who
put
money
in
to
initialize
the
bonding
curve,
they're
diluted,
less
the
more
money
we
raise
and
the
people
who
earn
the
dilution
like
the
free
tokens.
They
get
more
dollars
per
token.
So
there's
an
alignment
of
incentives
where
both
sides
win
the
more
that
is
raised
instead
of
just
a
team
percent
being
10.
C
B
Pie
so
as
the
pie
grows,
the
the
pers,
the
piece
of
the
pie
that
goes
to
the
team
actually
becomes
a
less
percent,
but
it's
always
because
the
pie
is
growing
faster
than
the
piece
of
the
pie
is
shrinking.
So
the
team
is
the
more
we
raise
the
more
the
team
gets,
but
also
the
more
we
raise
the
the
more
of
the
pie,
the
investors
get
so
everyone.
Everyone
wants
to
raise
more.
D
Yep,
I
love.
I
love
this
like
bonding
curves,
like
this
learned
about
it
at
eth,
denver
with
griff
and
saga
and
all
them,
and
they
actually
won
the
hackathon
based
on
their
idea
of
doing
a
bonding
curve
for
environmental
reasons,
to
sort
of
help
fund
and
maintain
and
preserve
public
land
and
fell
in
love
with
it
ever
since.
So
thanks
for
thanks
for
that,
rundown.
B
To
me,
that's
the
biggest
thing
using
bonding
curves
to
to
secure
and
protect
public
land.
That's
that's
what
I'm
always
thinking
about.
I
think
that's
so
important.
B
B
B
B
A
D
B
This
course
is
200,
but
if
you
can
use
the
keyword
block
science,
oh.
D
D
B
Okay,
okay,
so
it's
it's
not
finished.
Yet
it's
going
to
get
a
lot
more
amazing,
so
I
just
want
to
bring
the
attention
to
how
what
we
need
now-
and
I
know
vitor-
is
here-
he's
thinking
hard
he's
like.
What's
what
what
can
I
do?
What's
the
next
steps,
so
a
lot
of
this
can
be
simplified
people.
I
want
you
guys
to
definitely
the
most
important
way
to
get
involved
is
run.
This
whole
thing
yourself,
someone's
typing
kind
of
loud
there.
Oh
sorry,
that's
okay!
B
Thanks
mata
verde
nice
to
see
you
here
too
awesome.
So
what
was
I
saying?
Oh
yeah,
the
best
way
to
get
involved
with
this
is
definitely
run
the
notebook
for
yourself
and
play
with
every
widget,
because
I've
kind
of
gone
through
all
the
parameters
a
few
times
now
and
there's
recordings.
So
you
can
check
out
from
the
lab
workspace.
B
You
can
see
the
youtube
playlist
and
there's
some
good
ones
of
me
really
going
through
the
stuff
in
detail.
But
what
we
need
now
is
some
refactoring
and
some
simplicity
so,
like
I
said
we're
going
to
take
out.
So
this
is
expected
impact
hours.
We
can
take
that
out
this
raise
horizon.
There's
we
only
need
one
crosshair
here,
which
is
going
to
be
target
rays.
B
There's
there's
an
issue
for
that
you'll
see
between
the
this
impact
hours
formula
and
the
hatch.
We
duplicate
this
concept
of
maximum
and
minimum
raises,
and
so,
if
those
could
be
unified
in
some
way
now,
the
next
thing,
I'm
going
to
say,
is
the
most
concrete
one
that
is
like
the
perfect
first
issue
to
tackle,
and
it's
going
to
have
the
most
impact,
because
it's
going
to
make
things
way
more
simple
and
way
more
beautiful
and
what
we
want
to
do
here.
B
This
graph
should
be
actually
removed
from
this
whole
panel
here
and
it
should
this
data
should
be
combined
on
the
hatch
so
that
we
get
this
final
view
of
the
raise
we're
going
to
have
the
funding
pool,
which
should
not
be
called
the
funding
pool.
It
should
be
called
the
redeemable
reserve,
and
I
do
believe,
there's
an
issue
for
that.
Let
me
double
check.
B
Yeah
yeah:
this
is
a
really
good
issue
to
take
a
look
at
vitor.
You
might
wanna
take
a
look
at
this
one
and
I
don't
know
if
I
have
like
a
signee.
Oh
good,
first
issue.
Yes,
I
think
griff
is
on
this
in
the
back
end.
This
is
awesome
someone's
on
it.
Okay,
so
that's
what
I
like
to
see.
Parallelism
is
the
best
thing
ever
so.
B
Yeah
combine
these
these
graphics
here
and
and
move
this
to
the
front
here
so
that
we
don't
have
so
much
like
cognitive
overload,
we're
just
going
to
have
the
actual
impact
hours
curve,
with
only
one
crosshair,
which
is
going
to
be
the
target
rays
and
this
impact
hours
results
will
be
right
here,
nice
and
visible,
so
this
will
be
quite
simplified
and
then
this
will
be
a
more
comprehensive
picture.
That
has
the
hatch
tribute
the
cultural
tribute
and
the
redeemable
reserve.
B
This
is
just
so
cool
I
wanna
play
with
it,
but
I
think
everything
that
I've-
I
don't
know
if
there's
any
issues
on
this,
but
but
there
might
be,
we
went
through
quite
a
bit
of
these
the
other
day
and
really
good
resources
are
gonna,
be
the
videos,
the
most
recent
lab
and
there's
the
another
one,
I'm
not
sure
if
it
got
posted
to
youtube,
but
I'll
make
sure
it
does
get
posted,
and
that
was
I
think
from
this
past
wednesday,
when
a
lot
of
the
community
stewards
and
jake
and
griff-
and
I
sem
was
there
and
we
went
through
in
detail
all
this
all
this
everything
on
the
dashboard
here
and
how
it
can
be
improved
and
how
we
can
serve
it
to
the
community,
so
I'll
make
sure
that's
posted
on
youtube,
and
then
anyone
who
wants
to
dive
into
this
and
start
tackling
issues
you're
going
to
have
all
the
resources
you
need
and,
of
course,
reach
out.
B
B
So
it
talks
about
how
to
launch
your
panel
app
panel
serve
so
this
this
is
but
I'll
just
show
you
how
it
works
panel,
serv
app.pi.
Is
it
that
simple.
B
B
B
So,
what's
actually
being
displayed
here
is
javascript
objects
and
bokeh
is
really
powerful,
really
beautiful.
I
almost
never
use
it
it's
too
low
level.
For
me,
the
stack
is
bokeh
hollow
views
and
then
hp
plot
is
the
highest
level
interface
and
I'm
usually
on
that
hp
plot
level.
Sometimes
I
go
into
using
hollow
views
directly
to
get
a
bit
more
leverage
on
what's
possible,
but
it
if
you
use
bokeh
it's
like
a
visualization
primitives
library,
so
you
can
actually
make
absolutely
any
kind
of
visualization.
B
B
So
if
we
see
in
the
panel
docs
and
we
go
to
templates,
then
they
talk
about
how
you
can
use
a
jinja
template,
which
is
a
standard
templating
language
common
in
python.
It's
used
with
the
django
rest
framework
and
various
other
ways
of
deploying
websites
from
python
code
if
anyone's
familiar,
but
this
is
a
good
documentation
piece.
So
this
is
the
default
bootstrap
template
and
we
yeah.
You
can
check
out
the
different
templates
available
here.
B
B
Sizing
mode
is
stretch
both
and
then
we're
just
doing
what
we
just
did
in
the
jupyter
notebook.
I'm
just
loading
the
data
creating
the
panel
widgets
like
instantiating,
our
classes,
just
like
we
did
in
the
jupyter
notebook.
B
So
I
instantiate
the
impact
hour,
rewards
the
hatch
and
then
I'm
using
this
side
bar
view
to
fill
in
the
parameter,
widgets
and
you'll
notice
the
similarities
in
the
in
here,
because
here
we
say
like
we
have
our
impact
hour
rewards.
This
is
our
actual
instantiated
panel
object.
So
if
we
go
panel,
dot
pane
or
we
could
go
like
row
and
we
put
in
impact
hours
rewards
then
by
default,
any
panel
object
will
just
give
us
give
us
access
to
all
of
its
widgets
and
then
every
visualization
is
a
function.
B
On
the
parameterized
class,
so
if
we
see
our
impact
hours
rewards
formula,
these
are
all
of
our
parameters
and
these
are
just
going
to
get
visualized
for
free.
When
we
pass
this
instantiated
object
to
python
panel
into
a
panel
pane
or
a
row
or
a
column,
it's
just
going
to
visualize
all
of
our
parameters
for
free,
which
is
what
we
see
here
and
then,
if
we
want
visualizations,
we
define
them
as
functions.
B
And
what
this
does
is
what
you'll
find
in
here.
The
meat
of
this
function
is
just
a
python
visualization,
so
I'm
just
taking
setting
up
our
variables,
creating
a
data
frame
of
data
and
then
visualizing
it
using
hvplot
and
then
returning
the
composed
hp,
plot
visualization,
and
what
this
does
is
anything
in
here
that
references
a
parameter
once
this
gets
rendered
by
python
panel.
B
It
will
automatically
re-render
the
visualization
that
is
connected
with
it
and
how
we
can
the
best
way
to
hack
on
this
is
like,
and
this
works
all
the
time
for
python.
This
is
so
cool.
You
just
grab
this
code.
I
do
this
all
the
time
I
just
okay,
it's
nice
and
modular,
it's
in
a
function,
but
I
want
to
actually
explore
it
and
see
what
it
does.
So
I
just
grab
it
paste
it
in
a
cell
oops.
B
Maybe
I
don't
need
all
these,
I'm
not
even
going
to
worry
about
the
indentation,
it
should
run.
I
think
well,
let's
just
do
this
okay
and
then
take
out
this
return
and
then
we're
referencing
self
here,
but
self
is
just
an
object.
So
in
this
case
it's
impact
hours
rewards.
So
I
just
go
self
equals
impact
hours
rewards,
and
maybe
this
will
just
run
row
object.
Let's
see
line
one,
it
seems
to
be
a
row.
Object
does
has
no
attribute
total
impact
hours.
B
B
Numpy
is
not
defined
okay,
so
we
go
import
numpy
as
np
pandas,
import
pandas
as
pandas,
and
probably
I
just
want
to
run
all
my
imports.
Oh,
I
need
holovies.
B
Import
holo
views
as
hve
okay,
so
now
we
have
our
visualization.
So
this
is
how
you
can
like
really
hack
on
this
stuff
super
easily,
because
we
have
our
our
panel
object
and
we
get
access
to
all
of
these,
but
you
can
also
just
play
with
this
outside
of
the
like
panel
environment
outside
of
the
of
this
whole
thing
being
an
instantiated
class.
B
Basically,
and
what
that
does
is
you
can
now
play
with
everything,
because
this
is
all
just
right
in
our
namespace.
So
if
you
visualize
this
well,
then
you
could
anything
here.
You
could
say:
oh
yeah,
what
was
y
again,
what
is
y
okay?
Why
is
this
like?
It's
our
y-axis?
I
guess
so.
We
create
it
using
this
list
comprehension
over
x.
So
this
is
basically
our
formula
that
we're
applying
to
x
and
then
we
make
this
data
frame.
So
what
was
our
data
frame
again?
Okay?
Well,
here's
our
data.
B
So
this
this
is
what's
actually
being
visualized
here.
Well,
how
do
we
visualize
it?
The
first
thing
we
do
so
we
set
the
columns
and
then,
let's
just
try
running
this
impact
hours,
plot
impact
hours
plot.
Is
this
okay?
So
we
don't
have
these
crosshairs
here.
So
what
did
we
do
to
get
those
we
use
this
star
operator,
which
is
really
cool?
This
is
a
holoviews
thing.
It
composes
plots
together.
B
If
they
have
the
same
axes,
then
this
this
just
works
nicely.
So.
B
We're
just
adding
vertical
and
horizontal
lines,
so
we're
going
to
remove
a
lot
of
complexity,
we're
going
to
remove
these
the
concept
of
expected
and
we're
just
going
to
have
targets.
B
I
think
that's
going
to
help
a
lot
of
people,
I'm
glad
I
did
this
little
showcase
here,
and
one
thing
I'll
also
show
you,
if
you're
playing
with
this
this
can
this
can
is
almost
ready
to
be
deployed,
but
it
definitely
needs
some
work
and
if
anyone
wants
to
jump
on
this
of
like
because
I
think
this
is
something
we
should
do
for
the
test.
B
B
Let
me
quit
out
of
vim
here.
What
do
we
got.
B
B
It's
a
big
repository
because
I
cloned
a
bunch
of
reference
repos
in
there
and
I'm
going
to
make
sure
that
it's
get
ignored.
So
I'm
going
to
add
scratch
to
my
git,
ignore.
B
B
So
this
this
is
the
actual
jinja
react
template
that
comes
with
the
panel
repository
and
it's
being
used
to
render
all
of
this
right
here,
but
it
we
can
totally
customize
this.
We
can
grab
this
template
and
reference,
it
reference
our
own
local
copy
and
then
just
totally
change
it
like
we
could,
just
you
know,
add
a
big
h1,
welcome
to
hatch
params.
B
So
I
think
we
could
have
a
working
group
or
I'm
not
sure
how
we'll
coordinate,
I
think
I'll
reach
out
to
griff
I'll
get
some
help
from
the
general
sort
of
project
management
side,
but
there's
a
lot
of
good
issues
here
to
get
started
and
we'll
put
we'll
incorporate
this
into
the
sprint
planning,
basically
to
make
sure
we
have
something
super
awesome
in
line
with
how
like
the
test
hatch
is
unfolding
and
next
week,
hopefully
we're
gonna
have
a
lab
with
wesley,
so
he
can
go
into
much
greater
detail
of
token
log.
B
I
think
he's
down
he
I've
been
we've
been
chatting
with
him.
He
was
a
little
on
the
fence,
but
we've
been
encouraging
him.
He
didn't
think
he
could
really
fill
an
hour,
but
I
I
think
we
we
can
make
it
work
really
well.
Okay,
I've
spent
about
eight
more
minutes
than
I
wanted
to.
Does
anyone
have
any
questions
at
this
point
about
where
the
direction
of
this
or
anything
in
general,
really.
A
One
yeah-
hopefully
it's
not
too
beginner,
but
what
what
questions
are.
Is
that
dashboard
gonna
help
the
comments
answer?
Is
it
like
for
people
to
kind
of
go
play
around
with
parameters
and
just
understand
how
the
different
raise
amounts
translate
on
the
graph
or
like
to
help
people
understand
what
target
raise
and
what
to
expect
in
terms
of
impact
hours
and
stuff
or
like
what
questions?
Will
there
be.
B
Oh,
this
is
so
good
and
questions
need
to
be
reincorporated
and
there's
an
awesome
like
griff.
I
might
not
recall
off
the
top
my
head:
where
were
those?
Was
it
in
this
yeah.
C
C
It's
the
latest
issue,
it's
just
for
the
dandelion
one
and
then
I
was
going
to
make
another
one
for
the
the
important
parts
of
the
hatch
and
stuff
but
add
a
few
printouts
of
what
dandelion
prams
mean
to
the
output.
B
B
B
D
B
But
lots
of
important
stuff
came
out.
There
is
a
there's
a
issue.
The
newest
issue
on
here
is
actually
laying
out
the
questions
that
are
to
be
answered,
and
so
this
is
a
an
expansion
that
we
want
to
add
onto
the
template
and
the
goal
of
this
whole
experiment.
B
B
Now
here's
the
dandelion
voting.
This
is
super
important
because
the
hatch
is
going
through
a
two-phase
process
phase.
One
is
this:
this
hatch
in
which
we
initialize
the
dan,
essentially
we're
initializing
the
dandelion
voting,
which
is
gonna,
give
us
it's
like
the
dow
god
mode.
So
it's
how
we
can
actually
change
parameters
of
the
dow
in
the
future.
So
this
is
super
important
to
get
right
and
these
are
the
two
voting
parameters
it's
like,
based
on
how
many
tokens
show
up
what
percentage
of
them
must
vote?
B
Yes,
for
a
proposal
to
pass
minimum
quorum
is
what
percentage
of
all
tokens
in
existence
must
vote.
Yes
on
a
vote
for
it
to
pass,
and
then
some
some
timing
about
the
voting,
the
hatch,
you
know
what
what's
our
minimum
goal:
what's
our
maximum
goal?
What's
the
hatch
period,
what's
the
exchange
rate,
this
is
going
to
determine
how
many
tokens
are
going
to
be
made,
and
this
is
cool.
This
is
a
non-redeemable
component
of
the
hatch.
B
So
if,
if
hatchers,
like
aren't
happy
with
the
proposals
that
are
going
through
and
about
to
be
passed
for
the
whole
sort
of
future
configuration
of
the
dow,
then
they
can
exit
and
take
back
their
investment,
but
they,
except
for
this
five
percent.
Whatever
they
invested,
five
percent
is
non-redeemable,
and
that
is
a
contribution
to
the
hatch.
So
the
point
is
to
choose
these
parameters,
so
we've
been
very
carefully
and
delicately
building
out
forum
posts
for
every
single
parameter.
B
So
this
is
turning
into
a
wonderful
source
of
literature,
and
now
the
final
piece
of
this
is
to
enable
everyone
in
the
community
to
go
in
and
tweak
these
as
they
see
fit
and
make
their
completely
own
custom
version
of
the
dow
launch
and
the
way
that
they
get
to
do
that
is
through
these
visualizations,
so
they're
gonna,
say:
okay,
I
think
our
max
rays
and
right
now
we're
moving
towards
our
a
test
hatch.
So
the
numbers
are
are
kind
of
funny
like
sometimes
you
might
see.
B
The
target
raise,
oh,
like
the
expected
payout
is
like
one
1.2
x
die
for
our
highest
contributor,
but
that's
because
this
is
test
hatch
parameters
and
that's
particularly
from
this.
Well,
it
would
be
this
one
yeah,
so
this
is
saying
we're
only
gonna
paste
people
maximum
a
hundredth
of
an
wrapped
x,
die
per
hour,
but
these
are
based
on
test
hatch
default
parameters.
C
One
penny
an
hour:
it
seems.
C
Yeah
I
mean-
and
the
idea
here
is
that
we
actually
deployed
this
on
main
on
xdi
and
as
a
test,
and
so
because
it's
a
test
we
made
them.
We
didn't
want
people
to
put
in
thousands
of
dollars,
so
we
set
everything
with
really
small
numbers
and
that's
the
same
for
the
implementation
spec
we
deployed
it,
and
then
we
used
the
the
actual
deployment
to
and
to
confirm
the
the
how
the
spec
needs
to
be
written
to
match
the
actual
deployment.
C
But
now
we
have
the
spec
that
matches
the
deployment,
so
we
can
take
the
spec
and
make
a
new
deployment
just
by
changing
some
numbers
and
then
making
the
new
deployment
match
the
specs.
So
it's
just
kind
of
yeah
yeah.
B
It's
like
a
full
interface,
and
this
this
could
write.
This
could
be
connected
so
based
on
how
these
parameters
are
selected.
There
could
be
this
sort
of
button
at
the
end
where
you
say:
okay
now
export
this
dow
and
it
could
take
all
the
parameters
that
you've
selected.
It
could
go
and
populate
a
tech,
spec
document,
and
it
could
also
go
and
populate
the
smart
contract
configuration
file
to
to
set
all
of
these
parameters.
So
it
creates
this
sort
of
dow
factory
pipeline
kind
of
thing.
A
Yeah
wow,
that's
awesome!
Thank
you
for
explaining
all
of
that.
B
It's
nice
to
go
through
it
and
flush
it
out,
but
let's
that's
awesome.
I'm
gonna,
I'm
gonna
set
all
that
stuff
aside,
I'm
going
to
take
five
minutes
to
just
talk
about
the
labs,
so
I
definitely
want
everyone
to
be
very
comfortable
with
this
notion
workspace.
It
is.
This
is
kind
of
a.
I
don't
want
the
whole
world
to
know
this,
but
this
page
is
completely
public
and
editable
by
anyone.
So
anyone
can
come
in
here
and
modify
it.
It's
kind
of
a
risky
experiment.
In
fact
what
I
should
do.
B
I
think
what
I'll
do
is
I'll
just
snapshot
this
I'm
just
gonna
like
back
this
up,
make
a
copy
that
is
not
modifiable.
Just
in
case
you
know
worst
case
scenario:
someone
comes
in
and
deletes
everything
we
would
have
a
snapshot
back
up.
So
that's
what
I'm
gonna
do,
but
everyone
should
feel
very
comfortable
opening
up.
The
agenda
notes
can
be
written
in
here,
questions
notes.
B
This
is
going
to
evolve
over
time.
This
is
definitely
an
evolving
process
and
I
want
people
to
really
get
more
comfortable
with
this
and
have
some
skin
in
the
game.
You
know
make
some
edits
and
contributions.
I
did
at
the
very
bottom
here.
I
created
this
like
lab
crew
page,
and
so
I
just
started
noting
people
who
have
jumped
in
and
and
done
different
things,
but
this
could
all
this
can
fully
be
like
self.
You
know
anyone
can
come
in
here
and
say:
hey.
I
posted
some
promotion.
B
Put
your
tag.
You
know,
however,
you
want
to
be
identified
and
your
contact
and
oh
so
these
are
like
roles,
oh
yeah,
and
then
this
is
a
housekeeping
table,
so
any
of
the
little
sort
of
migrations
or
cleanups
or
sometimes
like
making
a
requirements,
file
or
documenting
the
readme.
Sometimes
little
things
need
to
be
done,
so
anyone
can
come
and
post
in
here
just
like
clean
up
stuff
and
then
whoever
goes
and
finishes
it.
B
It
can
just
put
a
check-
and
this
could
later
be
rolled
up
into
some
contributions,
be
like
money
allocation
because
there's
a
proposal
out
for
15
to
30
000
dye
is
being
requested
to
run
the
labs
for
six
months,
and
this
is
a
good
read
and
it's
got
all
the
all
the
resources
available
here
and
this
yeah.
This
this
funding
could
really
go
towards
interesting
things.
B
So
someone
like
that
it
would
be
awesome
to
have
sort
of
an
incentive
to
invite
him
into
the
labs
and
do
like
an
hour
session
and
and
then
those
tables
that
we
went
over
anyone
sort
of
making
contributions
should,
you
know,
have
access
to
this
funding
if
it
goes
through
and
there
could
even
be
some
fun
like
consensus
or
governance,
or
something
like
that
applied
to
this
on
how
funds
are
allocated
and
how
scheduling
is
done
so
far,
I'm
just
sort
of
taking
the
reins
and
and
and
keeping
this
alive,
but
I
do
see
it
moving
into
a
more
decentralized
state,
but
the
yeah
anyone
can
come
in
and
fill
in
future
lab
sessions.
B
We
have
a
one
volunteer
mark
he's
going
to
be
doing
some
sessions
in
february,
so
he's
doing
cad
cad
for
energy
web
and
then
he's
doing.
Oh
wait:
lab
11.
Oh,
I
don't
think
these
have
been
modified,
but
he
has
built
a
simulator
for
energy
web
in
cad
cad
and
in
token
spice,
which
are
two
very
awesome:
token,
engineering,
modeling
and
simulation
frameworks
and
they're
very
different
in
the
way
they're
structured.
So
it's
going
to
be
awesome.
B
B
B
It
says,
write
some
notes.
So
I'm
going
to
make
a
page,
and
I
want
to
go
around
to
everyone
here
and
get
some
ideas.
What
would
you
like
to
see
from
the
labs?
Is
there
anything?
Maybe
you
have
an
idea
of
a
a
session.
You
could
lead
something
you
would
like
to
showcase
or
teach
or
show
off,
maybe
a
project
or
something
you
would
like
to
see.
B
B
A
Yeah,
I
think
it'd
be
super
cool
if
austin
griffith
would
have
come
through
with
with
a
lab
for
scaffolding.
A
I
don't
know
if
a
lot
of
you
guys
know
about
scaffolding,
but
yeah
man
that
is
so
op
like
for
building
front
end
web
three
apps.
It's
it's
really
easy,
and
then
you
can
just
edit
the
contract
and
it
kind
of
like
edits
the
front
end
for
you.
It's
really
nice,
so
yeah
thanks
man.
A
Oh
yeah
dude
I'd
be
down,
I
know
like
I
know
a
lot
of
ccxt
and
I've
been
learning
more
and
more
solidity
as
time
goes
so
yeah
that
could
be
cool
like
I
don't
know
if
you
guys
know
me,
but
my
background
is
mostly
with
just
making
like
kind
of
like
bots
trading,
bots
and
stuff,
and
me
and
sean
have
been
working
on
making
like
ai
trading,
bots
and
stuff.
So
yeah
it'd
be
that'd,
be
super
interesting.
It's
definitely
something
I
can.
B
Of
parallelism,
if
anyone
wants
to
jump
into
this
dock
and
start
filling,
it
out
definitely
feel
free,
yeah
thanks
nico.
I
think
people
would
love
to
see
this
for
anyone
who
doesn't
know
ccxt,
it's
a
sort
of
general
interface
to
cryptocurrency
exchanges,
so
that
you
can
query
their
data
and
you
can
execute
trades.
A
Sure
tonga,
what
do
you?
What
do
you
want
to
say
and
what
do
you
want
to
teach.
A
A
I
I
was
running
to
the
computer.
How
are
you,
what
is
it?
I
don't
have
anything
anything
in
particular
I
I
am
studying
the
aragon
stuff.
Maybe
I
can
help
a
little
bit
showing
me
issue
or
something,
but
for
maybe
in
a
few
months,
not
for
now
yeah,
I
don't
know
I
I
will
pass
it
to
sam.
A
Hello,
I
would
like
to
see
well,
we
have
been
focusing
a
lot
on
the
hats,
because
this
is
the
first
part,
the
the
first
phase
of
the
of
the
launch,
but
I
I
also
would
love
to
see
how
bonding
curves
work
on
on
the
labs,
especially
the
the
one
that
we
are
going
to
be
using,
because
I
think
that
it's
it's
going
to
be
interesting
for
documentary,
and
I
guess
that
we
could
do
that.
A
I
I
could
be
in
the
part
of
of
teaching
it,
but
in
I
still
don't
know,
I
will
have
to
prepare
it.
D
Oh
in
terms
of
sharing
stuff,
let
me
think
so:
I'm
getting
back
in!
We
took
a
took
a
bit
of
a
break
to
try
and
fundraise
and
sell
some
ppe
to
fund.
I
mean
the
project
that
we're
working
on
is
like
a
perpetual
value.
Sorry,
a
perpetual
volume
and
value
creation
machine,
so
I'm
kind
of
like
just
getting
back
in
and
getting
like
spreading
out
getting
back
into
the
space.
So
I
don't
have
much
to
say
that.
D
A
good
lab
yeah,
it's
like
a
I
mean.
I
guess
the
analogy
is
like
a
tokamak.
If
you
guys
know
what
a
tokamak
is
with
like
nuclear
fusion,
like
there's
things
that
just
like,
creates
it's
like
a
sun
inside
of
a
machine
and
then
we
try
to
like
create
like
fusion.
Essentially
we
want
to
try
to
do
that
for
d5.
D
So
that's
why
I'm
here
like
talking
to
griff
again
and
getting
re-plugged
back
into
the
crypto
community
to
just
so
I
don't
know
so
we're
out
just
I'm
trying
to
think
of
what
are
some
good
yeah.
I'm
not
sure.
I
can't
think
of
my
head
of
anything
of
value
that
I
can
deliver.
Give
me
a
sec.
Let
me
think
about
this
and
come
back
to
me
and
I'll
I'll.
I'm
sure
there's
some
things
that
I
have
in
my
brain
somewhere.
B
Okay,
a
sun
inside
of
a
machine
for
defy
sounds
pretty
cool,
sounds
pretty
valuable.
So
that's
awesome.
Do
you
want
to
pass
it
to
someone
charge
radic.
D
A
Everyone
there
he
is
yeah,
sorry
yeah,
all
right,
so
yeah
well
yeah.
I
think
it's.
The
cc
loss
has
been
pretty
cool
until
now.
Yeah.
I
think
that
maybe
we
can
also
try
to
jump
into
give
a
more
deep
dive
into
other
cat
models
that
have
been
built
in
by
the
community
yeah,
but
yeah
doing
the
deep
dive
into
the
dc
commons
and
then
dealing
voting
and
bonding
course
yeah.
It's
also
pretty
cool
yeah.
A
C
B
B
Lot
yeah
santiago
gave
a
really
impressive
and
educational
presentation
in
the
ocean
protocol
study
group
last
year.
That
was
it
was
really
nice.
So
even
that
santi
something
like
that
or
I
think
there's
a
lot
that
we
could
have
fun
with
here.
A
Well,
hey
guys,
I
think
that
one
thing
that
I
would
like
to
see,
but
I
don't
know
if
this
is
this
code,
but
maybe
looking
more
of
thinking
deeper
about
how
people
behave,
will
behave
related
to
the
the
hatch
and
like
we're
modeling,
the
the
smart
contract-
and
this
part
like
looking
and
thinking
more
on
this,
because
it's
kind
of
a
tricky
thing
like
doing
some
agent-based
modeling,
there's
something
that
we're
struggling
in
the
simulator.
A
B
Yeah
vitor:
this
is
something
I'm
really
really
interested
in
and
I
really
like
working
with
probability
distributions.
So
I
I
would
love
to
add
a
lot
of
those
in
for
like
change
in
sentiment
over
time
and
things
like
that,
but
also
on
the
ai
side.
So
getting
into
things
like
reinforcement,
learning,
that's
a
big
part
of
my
background
is
in
ai
and
I
spent
a
lot
of
time
researching,
reinforcement
learning.
B
So
it's
always
been
my
dream
to
to
bring
that
in
more
into
all
this
modeling
that's
happening,
so
I
think
that's
a
huge
like
a
really
exciting
thing
to
be
working
towards.
So
we
can
have
a
lot
of
conversations
on
this.
A
Thank
you,
but
I
am
really
bad
at
programming
just
learning
by
listening,
and
I
am
good
at
that
stuff,
but
but
not
at
this,
and
I
think
we
already
have
passed
all
or
I
don't
know
if
you
would
like
to
that.
You
would
like
to
teach.
Oh
I
don't
have.
I
don't
want
to
teach
anything,
I'm
still
sheep
in
the
city,
dazzled
by
the
sparkly
things
so
I'll
pass
too.
A
I'm
liking
what
we're
doing
with
the
modeling,
with
the
cad
cad,
I'm
still
I'm
taking
santi's
data
analysis
course
and
I'm
haven't
had
a
chance
to
get
to
the
block
science
cad
cad
course.
Yet
so
I'd
like
to
know
more
about
how
source
cred
works,
if
that's
something
that
can
be
gone
over
slowly
and
also
I'm
supe
super
interested
in
tokenomics,
not
not
necessarily
just
like
with
the
hatch
but
like
comparing
different
models
of
tokens.
A
B
Can
I'm
just
going
to
stick
around
if
anyone
wants
to
drop
off
our
our
special
guest
is
sam?
I
invited
sam
to
talk
about
some
of
the
things
that
he's
built
and
him
and
I
are
going
to
be
going
over
in
the
luna
swarm
call
this
afternoon.
B
So
if
you
I'm
just
gonna,
give
a
teaser
from
well
it's
in
the
the
agenda
today,
you
can
see
a
link
to
some
of
the
cool
work
that
sam
has
been
working
on
and
him
and
I
are
gonna-
go
over
it
in
the
luna
swarm
call
today,
which
is
happening
in
at
1pm
pst.
B
And
yeah
sorry,
I
I
interrupted
meda
verde.
I
want
to
give
people
a
chance
if
they
have
to
go,
but
also
I'm
going
to
stick
around.
We
can
finish
going
through
anyone
who
hasn't
got
a
chance
yet.
C
I
I
have
to
go
to,
but
I
want
to
just
say
my
my
my
things.
Obviously
I'm
very
biased,
because
I
want
to
see
the
tec
stuff
finished,
so
finishing
the
tec,
touchdown
models,
you
know
and
continuing
that
progress
is
great.
Doing
the
commons
upgrade
models
very
excited
to
see
how
we
can
make
that
also
show
off
the
the
bonding,
curves
and
conviction
voting
models
that
we'll
have
so
that'll
be
that'll.
Be
really
interesting.
C
I
think
encased
on
me
is
super
cool,
there's
all
sorts
of
really
in
those
and-
and
I
would
like
to
see
me
a
little
more
exposed
to
that,
especially
around
like
behavioral
stuff,
but,
like
you
know,
evolution
of
trust,
most
people
have
seen.
I
think
the
parable
of
polygons
is
is
really
you
know,
informative,
but
also
loopy
is
amazing.
C
If
you
haven't
seen
loopy
like
you,
probably
have
seen
loopy-
and
you
just
didn't
know
it
this
this
this
place
has
so
many
cool
thing
simulations
to
play
with
that's
cool
yeah.
This
is
super
amazing.
I'd
also
be
down
to
see
some
more
less.
It's
not
maybe
it's
not
for
the
labs.
I
don't
know,
but
you
know,
the
te
philosophy
channel
is
really
cool.
I
don't
participate,
but
I
read
and
it's
it's
amazing
what
people
are
talking
about
in
there?
C
I
I
wouldn't,
I
think,
it'd
be
cool
to
give
them
a
space.
To
talk
about.
You
know
the
the
layer
above
the
tech
and
also
the
cultural
builds
for
the
tec
itself.
I
think,
is
also
along
the
same
lines
where
it's
like.
Okay.
Yes,
we
have
this
tech,
but
you
know
these
is.
I
think
the
floor
was
saying
this
too.
C
We
need
things
to
be
more
behavioral
into
it,
and
the
cultural
piece
of
part
of
that
and
the
the
work
that
santi
and
vito
are
doing
on
the
common
simulator
is
incredible:
it's
the
only
object-oriented
cad-cad
model
that
exists
as
far
as
I
know,
and
so
just
having
an
expose
on
on
the
challenges
around
there
and
also
just
like
how
it
works,
and
it
has
such
a
beautiful
front
end
that
people
can
play
with
like.
What's
the
behind
the
scenes,
there
would
be
really
interesting.
Okay,
that's
those
are
my
ideas.
C
Griff
yeah,
should
I
pass
it
to
someone
or
did
you
want
to
end.
B
A
Everyone,
well
I
don't.
I
don't
really
have
a
lot
to
contribute,
since
I
don't
code
but
yeah
same
as
metaverde,
just
like
getting
a
little
bit
of
what's
going
on
in
the
community.
B
D
D
But
we
want
I'd
love
to
learn
more
about
like
how,
like
the
combination
of
cad
cat
or
like
crypto,
economic
building,
token
modeling,
combined
with
like
quadratic
voting,
quadratic
funding
and
something
I'm
using
like
what
one
hive
is
doing,
with
kind
of
like
a
ubi
in
a
sense
where
they're
just
kind
of
like
a
faucet
they're,
just
giving
out
money
to
people
based
on
their
unique
identity.
D
So
something
that
yeah
I'd
love
to
learn
more
about.
Like
the
intersection
of
of
like
radical
exchange,
you
know
cad
cad
and
a
ubi
driving
like
because,
like
if
you
look
at
like
what
just
happened
with
with
respect
to
this
whole
gamestop
thing
and
and
hedge
funds
are
now
like
hating.
What
happened
with
all
this?
Their
shorts
got
liquidated
and
all
this,
but
like
a
lot
of
that
money
that
all
these
people
put
in
came
from
the
government
in
the
form
of
the
stimulus
payments.
So
all
these
people
are
bored
at
home.
D
So
I
wonder
if
there
could
be
on
that
note
of
this
of
the
event
that
we
all
just
saw
if
one
could
create
like
a
economic
model
that
could
almost
like
perpetually
grant
give
people
like
a
ubi
that
could
be
like
put
it
into
some
kind
of
a
mission
like
ins
like
a
d5
product
that
creates
this
like
takes
that
momentum
of
energy
and
like
accelerates
it,
but
also
is
governed
in
such
a
way
that,
like
even
though
you
have
more
tokens,
it
doesn't
necessarily
give
you
more
governance
power.
D
B
That
is
awesome,
so
you're
gonna
be
excited
because
there's
a
specific
git
coin
themed
eight
week
very
similar
to
these
lab
sessions.
It's
like
at
the
things
called
a
hack
session.
It's
with
danilo
he's
he's
a
very
good
researcher
with
block
science,
he's
a
cad
cad
hacker
and
he's
going
to
do
an
eight-week
series
on
specifically
get
coin
modeling
and
funding
modeling
and
network
modeling
and
all
sorts
of
cool
stuff.
That's
going
to
be
on
thursdays
for
eight
weeks,
there'll
be
some
promo
coming
out.
B
You
can
stay
tuned
in
the
tec,
labs
channel,
the
promo
will
get
pushed
through
there
or,
if
tc
contact.
D
B
Let's
go
thanks,
everyone,
it's
it's
it's
over
time.
I
don't
know
if
we're
hoarding
this
channel
or
if
someone
else
needs
it.
Yeah
it's
nice
to
stick
around
and
chat.
Usually
tec
calls
get
cut
off
at
the
hour.
That's
what
I'm
used
to
but
yeah.
I
think
I'm
going
to
drop
off.
It's
been
an
awesome
lab
and
anyone
can
feel
free
to
stick
around
and
chat,
but
I'm
going
to
drop,
drop
off,
feel
free
to
direct
message.
B
Me
drop
stuff
in
the
tec
labs
channel
and
let's
keep
this
train
going
thanks.
Everyone.
A
Lab
hey,
I
got
a
link
in
the
general
channel
for
token
log.
If
you
have
impact
hours,
you
have
impact
hour,
tokens
go
to
token
log
te
commons.
Is
there
prioritize
our
issues
get
used
to
using
token
logs?
So
we
can
put
you
together
with
these
labs
these
models
and
get
you
ready
to
choose
params
for
the
hatch.