►
Description
🙏 Thank you for watching! Hit 👍 and subscribe 🚩 to support this work
🌱Join the Community🌱
on Discord https://discord.gg/uM4ZWDjNfK
or say hello on Telegram https://t.me/tecommons
Join the conversation https://forum.tecommons.org/
Follow us on Twitter: https://twitter.com/tecmns
Learn more http://tecommons.org/
B
Here
we
go
no
intention,
be
in
tech
lab
for
the
first
time
yay,
but
also
just
catch
up.
How
how
you
want
to
organize
it.
I
had
a
short
sync
with
sean
and
basically
about
what
currently
is
an
option
or
on
the
table
after
the
ecosystem.
B
I
was
thinking
to
bring
it
here,
but
then
also
reading
the
group,
setup,
etc.
The
questions
should
that
be
a
separate
session,
and
then
we
discuss-
or
we
give
updates
on
this
session,
or
it's
going
to
be
about
four
or
five
sessions.
I
would
assume
getting
people
to
their
computer
simulation
as
a
result.
How
do
we
organize
that?
That
would
be
my
intention
to
come
up
with
the
direction
and
then
connect
it
to
pocket
to
tech
lab
in
any
case,.
C
Hello,
I
am
interested
in
catching
up
with
people
on
praise
analysis.
I
think
I
have
my
roadmap
for
something
I
hope
to
be
finished
by
this
weekend
monday.
D
Yes,
hello,
I'm
mohammed
and
I
just
finished
work
on
price
analysis
and
cluster
data
and
create
fun
app
and
has
linked
to
lab
channel.
If
anyone
who
want
to
just
check
it
and
that's
it,
I
pass
it
to
sam.
F
F
Yes,
hello,
everyone
yeah,
to
be
honest,
I'm
actually
working
on
something
else
simultaneously
and
I'm
hoping
to
just
listen
in
the
background,
primarily
and
occasionally
time
in
when
my
attention
is
focused.
So
thank
you
and
I
think
everybody.
G
G
G
So
I
think
maybe
it's
best
to
start
sepnum.
We
can
discuss
and
maybe
have
some
collaborative
discussion
discussion
about
orchestrating
the
labs
within
the
greater
ecosystem
and
how
they
tie
into
the
ecosystem,
value
flows
course
and
offering
this
as
a
space
for
sort
of
what
comes
next,
the
mathematical
modeling
and
simulations
and
and
how
that
plugs
into
what's
happening
around
the
ecosystem,
like
the
ecosystem,
value
flows
course
and
then
the
possibility
of
scheduling
future
sessions.
G
I
think
it
would
be
great
to
have
some
collaborative
discussion
on
this
yeah.
Do
you
want
to
start.
B
Yes,
so
basically,
what
would
you
need
to
know
what
is
in
plants
or,
let
me
say,
for
example,
so
the
way
I
see
or
what
I
learn
now
that
there
are
always
ongoing
things
that,
like
the
praise,
analysis
and
they
might
be
changing,
etc,
but
they
might
be
always
happening,
and
it's
also
super
interesting.
So
people
certainly
want
to
catch
up
on
that
and
then
basically,
what
I
am
not
not
bringing
in
is
more
or
less
a
one-time
thing
that
always
happens
after
the
ecosystem.
Lifelong
scores.
B
As
I
mentioned,
people
have
a
conceptual
model
of
value
flows
just
because
talking
flow
diagrams.
That's
no
and
know
about
what
are
agents.
How
do
I
describe
behavior
and
so
on
and
so
forth?
Basically,
there
would
be
a
session,
so
I
guess
one
session
on
going
over
the
value
flows
again
discussing
mathematical
description
and
the
the
mapping
to
cat
cats,
definitely
because
it's
the
easiest
with
the
differential
syntax
and
there
we
have
a
siemens
story,
simon
who
basically
is
a
surprise
guest.
B
So
I
don't
know
how
long
he
will
be
available
or
not,
but
he
said
that
he
could
join
or
he
would
be
very
much
interested
into
figuring
it
out
and
he
went
into
some
of
zargham's
work
already
and
he
was
like
oh
there's
already,
mapping
of
flows
etc
and
with
all
of
these
mathematical
models
from
thermodynamics
and
food
dynamics.
And
what
have
you
and
network
theory?
B
I
think
it
is
for
anyone
who
is
maybe
a
programmer
and
gets
the
hang
of,
for
example,
cat
cat
or
token
spies,
but
is
actually
wondering
you
know:
can
you
actually
take
mathematical
models
from
physics
and
so
on
and
so
forth
and
apply
it
or
change
it
or
apply
principles
of
those
models
to
our
token
systems,
because
that's
something
what
diagram
does,
naturally,
what
doesn't
come
so
natural
to
to
programmers
for
example?
So
that
is
something
we
can.
B
I
guess
make
a
benefit
from
that
is
just
emerged
and
then
moving
to
a
cat
cat
simulations.
Maybe
it's
another
session
to
show
people
how
they
are,
how
they
can
get
into
and
have
them
ask
questions
so
more
interactive
session.
That
would
be
it
basically
right
and
then
in
four
sessions
would
be
done.
The
question
is,
of
course,
how
much
are
others
interested
to
have
it
on
fridays?
G
Okay,
so
I'm
seeing
that
it's
like
this,
that
the
ecosystem
value
flows
cohort
goes
through
the
whole
course
and
by
the
end
of
that
we
have
maybe
five
or
seven
or
ten
projects
each
each
with
a
conceptual
model,
and
so
if
we
could
set
up
a
lab
where-
and
maybe
it's
like
a
series.
So
oh
yeah,
so
let's
say
three
a
series
of
three
where
in
the
first
series
we
gather
everyone.
So
we
make
a
call
to
anyone.
Anyone
interested
in
learning
this
anyone
interested
in
token
engineering.
C
G
And
then
the
following
week
is:
oh,
so
maybe
there's
some
work
done
throughout
the
week,
so
they
kind
of
form
groups
and
the
next
week.
It
can
be
this
math
focus
so
for
each
each
project
hopefully
has
been
paired
up
with
a
kind
of
mathematician,
or
you
know
anyone
who's,
just
at
least
interested
in
taking
a
crack
and
spending
some
time
on
it.
B
Yeah
yeah,
that's
perfect,
like
and
the
way
you
said
it
just
want
more
information,
because
there
I
believe,
if
you
set
it
up
like
this
people
who
took
the
course
prior,
it's
the
third
cohort
already
so
there
have
been.
I
don't
know.
I
just
had
a
list
of
all
of
the
projects
there
and
they're
all
sustainability
focused
projects
and
some
really
nice
ones,
but
also
data
focus
project.
B
B
A
B
B
B
No,
no
that's
what
they're
they're
bugging
they're
already
saying
when
I
was
starting
and
suddenly
I
just
wanted
to
check
with
you,
because
that
I
know
how
you
know
get
having
this
focused
group
is
so
wonderful
and
if
you
can
synchronize
it
somewhat,
it's
much
better
to
wait
a
little
bit
then
to
just
try
to
make
it
happen
now,
so
that
that
would
definitely
be
my
intention
if,
if
it's
near
way
how
we
can
bring
those
people
together,
as
you
put
here
so
nicely,
that
would
be
definitely
worth
it
to
to
wait
or
have
some
warm-up
sessions.
B
G
Yeah,
I
think
it's
really
interesting.
It's
kind
of
it's.
I
think
I
want
to
check
in
with
just
with
the
community,
because
the
praise
analysis
is
happening,
and
I
know
the
hatch
the
hatch
is
coming
up
like
in
them.
You
know
pretty
soon,
they're,
actually
just
waiting
on
the
on
the
praise
analysis
so,
but
it
anyways.
The
praise.
Analysis
is
really
coming
to
a
close,
like
I
think,
by
this
weekend,
we're
trying
to
actually
hand
off
really
to
the
community
and
wrap
up
the
data
science
side
of
things.
G
So
I
don't
know
if
the
labs
will,
if
there'll
be
such
a
demand
for
like
the
lab
space
and
so
whether
it's
this
following
week,
one
week
from
today
or
the
week
after
that,
I
I
think
it's
a
good
idea
to
try
to
aim
for
that,
and
I
think
I'll
just
check
in
over
the
next
couple
days
and
kind
of
put
out
some
feelers
and
see
what
kind
of
space
is
going
to
be
needed
by
the
community
for
this
kind
of
any
sort
of
like
lab
progress
and
yeah.
So
you-
and
I
can
just.
G
B
And
what
I
can
do,
basically,
you
know
if
they
really
want
to
move
nonetheless,
etc,
that
we
just
make
this
after
the
call
after
this
call
or
before
this
call
kind
of
yeah,
so
that
if
we
want
to
bring
it
together,
it's
close.
Okay.
G
G
So
I
think,
feel
free
to
jump
in
I'm
going
to
type
out.
I
think
we
have
two
more
main
topics,
which
is
the
praise
analysis
and
I
think
we'll
give
a
sem
the
floor
now
and
then
maybe
aim
for
15
minutes
or
something
like
that,
and
then
we
can
have
the
remainder
to
discuss
the
updates
on
praise
analysis.
E
Okay,
yg,
I
will
be
quick.
I
am
working
on
three
models
right
now.
One
is
almost
done,
it's
the
conviction,
voting
modeling
and
it
needs
some
documentation,
but
I
guess
that
I
already
have
it
and
handling
it
over.
Somebody
else,
probably
is
not
the
best
thing,
because
learning
from
scratch
will
not
be
it's
better.
E
If
somebody
gets
the
thing
already
documented
right-
and
I
am
also
with
the
each
one's
model
of
one
height
which
it
is,
it
already
has
a
a
cad
cut
model
attached,
but
the
problem
that
I
see
is
that
we
don't
have
any
chart
on
how
it
behaves
and
I
have
been
charting
it
and
it's
it's
interesting,
but
I
will
need
some
help
on
that.
Maybe
because.
E
A
E
E
G
E
G
E
Ones
on
one
hive,
probably
it's
something
that
you
have
to
learn
from
scratch,
but
this
one
is
a
good
one.
Let
me
share
it
here.
G
So,
sam,
let
me
see
if
I
can
so
this
is
the
bonding
curve
for
the
tec.
Is
that
right.
E
E
G
G
This
is
super
fascinating
sem,
and
you
know
that
I
really
enjoy
working
on
this
kind
of
stuff,
so
sundays
are
great
for
that.
G
I
also
definitely
want
to
introduce
you
to
muhammad
who
is:
has
an
interest
in
mathematics
he's
actually
a
very
good
mathematician.
He
has
a
degree
in
applied
mathematics
and
he's
been
doing
some
awesome
research
on
the
praise
analysis,
so
yeah
you
two
might
want
to
connect.
I
think
he'd
be
really
good
to
help
out
with
the
what
you
mentioned,
the
yeah,
the
issuance
model.
D
G
Okay,
so
so
sam,
that
was
three
things
right,
so
you've
got
the
conviction.
Modeling
going
you've
got
the
issuance
model
for
one
hive
and
the
the
third
one
was
the
bonding
the
tec
bonding
curve.
Yes,.
G
Cool
okay,
good
super,
exciting
stuff
there,
so
I
think
the
let's
dive
into
the
praise,
analysis
and
synchronize
on
that
or
calibrate
as
octopus
says
so
muhammad,
do
you
want
to
show
off
this
dashboard?
I
have
it
up.
D
Here,
yes,
should
I
share
a
screen
or.
G
Yes
sure
you
go
ahead,
I'm
concerned.
If
we
how
many
people
we
can
have
on
here
at
once
it
but
I'll
close
it
on
mine.
F
D
Second,
one
based
on
based
on
all
other
string
columns,
two
from
reading
reason
for
teaching
and
server
and
room
and
last
one
for
text,
those
dlc
tags,
and
here
it's
just
a
scatter
between
average
and
impact.
Our
price
based
on
its
colors
means
coloring
based
on
this
cluster
based
on
k,
mean
tag,
means
based
on
average
and
impact.
However
price
or
new
k,
minus
string
based
on
these
or
other
like
day
of
week,
this
one
we
can
consider
like
this
gaming,
and-
and
here
it's
just
it's
just
it's
not
it's-
it's
just
a
stable.
D
It's
not
not
interactive
with
this,
so
it
just
blocks
a
lot
of
data
based
on
date.
I
just
converted
a
date
to
day
of
weeks
and
then
create
these
based
on
that.
G
It's
the
percentage
of
the
praise
per
praise
right.
D
I
forgot
what
grief
mentioned,
but
I
think
it's
just
some
relation
between
norms
and
those
three
norms
in
analysis
data.
I.
G
G
All
data,
so
it
looks
nice,
so
can
you
does
the
zoom
work
across
the
data,
so
you
can
zoom
in
on
only
sunday
praises
I
mean
if
you,
if
you
zoom
in
on
sunday
and
then
switch
to
the
tabular.
D
No,
it's
actually
it's
just.
These
are
not.
A
D
G
D
Just
whole
data,
you
know
yeah,
and
here
is
tags
it's
day
of
week
and
it
tags
based
on
those
17
tags.
Actually,
this
column
there
is
a
three
method
of
tagging,
one
with
space
c
and
one
bit
intersection.
I
think,
if
you
say.
G
D
Other
yes,
yes,
check
out
similarity
and
another
one.
I
just
I
just
applied
meeted
on
those
columns
and
just
retrieved
most
frequent
one
and
created
this
attack
unique
tag,
and
this
one
is
came
in
tag,
as
I
mentioned
here,
and
new
gaming
tag
is
just
another
one.
G
D
G
G
And
saturdays
are
low
saturday's,
the
lowest,
so
people
don't
get
paid
on
for
showing
up
on
saturday
looks
like
tuesday
is
the
highest
weekday
in
terms
of
average
praise
and
there's
a
there's,
a
bimodal
there's
a
few
bimodal
distributions.
G
This
is
really
interesting.
If
you
look
at
tuesday
and
friday,
there's
two
different
clusters
of
praise
right
so
on
tuesday,
there's
sort
of
this
main
cluster
that
has
an
average
around.
G
G
If
you
move
your
mouse
see
see,
we
could
add
here
the
reason
for
praising
and
maybe
the
category
as
well
on
the
highlight
tooltip.
G
This
is,
I
think
this
is
a
really
extremely
insightful
dashboard.
Muhammad
like
this
is,
I
think
we
could
spend
hours
and
hours
and
hours
going
through
this
and
finding
lots
of
insights
and
the
fact
that
you've
put
this
up
as
an
app
which
makes
it
available
to
the
community
is,
is
so
valuable.
Is
this
I
know
with
the
free
instance
of
heroku,
I
think
only
one
person
can
access
it
at
a
time.
Is
that
the
case
with
this
one.
G
Oh
yeah,
it
yeah
it
loaded
for
me
as
well.
So
neat.
D
And
of
course,
I
just
created
pull
requests
on
and
github,
so
you
can
just
run
other
if
they
can't
run
it
online.
They
can
just
run
it
locally.
G
Yeah
good
point
on
detroit:
so
how
about
the
clusters,
then
any
insights
from
the
clusters
up
above.
D
G
D
Do
you
mean
this
one?
This
one
is
just
based
on
average,
average
percentage
percentage
and
impact
hour
per
person
right
now,
and
here
we
can
just
change
it
like
price
and
it's
little
here,
it's
just
their
price
and
we
can
then
change
tags.
You
know
these
are
first
for
main
data
and
it's
just
for
coloring.
You
know
based
on
those
tags,
I
just
showed
in
data
here
these
tags
and
we
can
change
it
to
person
or
day
of
week.
D
D
A
D
G
So
yeah
this
is
deployed
online,
so
I
guess
anyone
can
feel
free
to
open
this
up
and
explore.
I
feel
like
there's
so
many
insights
in
here
to
be
found
good
work.
Muhammad,
it's
excellent,
thank
you
and
I
think
it's
a
good
time
to
kind
of
open
up
the
floor
and
or
maybe
octopus
do
you
want
to
talk
a
little
bit
about
what
you've
had
on
the
go
and
how
we
can
synchronize
synchronize
efforts.
C
C
You
can
make
things
really
visual
and
tactile
like
that's
going
to
be
really
really
helpful
for
people
who
who
aren't
very
formula
comfortable
or
math
comfortable
to
help
them
understand
it.
C
For
myself,
I
have
been
working
on
just
looking
at
distributions
in
sort
of
a
similar
vein,
but
I've
also
been
looking
at
the,
so
it's
not
clear
which
tools
to
use
it's
not
clear,
which
tools
to
use
to
like
give
insight
about
decentralization
or
things
like
that.
So
I'm
just
working
off
of
a
paper
that
was
published
where
they
did
this
analysis
for
bitcoin
and
ethereum
and
used
these
different
tools
to.
C
So
thanks
to
some
data
that
griff
gave
me,
I've
been
looking
at
what
these
distribution
numbers
look
like
for
this
project
compared
to
other
projects,
which
is
probably
a
fairer
comparison.
C
C
So
the
fact
that
craze
was
reallocated
in
in
the
quantifiers
voting
again
if
they
felt
someone
was
underrepresented,
and
then
all
of
that
was
put
on
a
single
event
rather
than
being
spread
through.
So
I
think
sunday
is
over
represented,
because
the
quantifiers
met
on
saturday
and
sunday
is
the
first
praise
of
the
next
meeting.
Does
that
make.
F
F
C
So
because
they
took
the
first
praise
and
gave
it
all
of
the
excess
hours
in
their
in
their
re-vote,
it's
likely
that
those
are
going
to
be
really
distorting
things
like
sunday.
Getting
a
lot
of
praise
it's
hard
to
know.
If
that's
because
things
that
happened
on
sunday
were
highly
praised,
or
if
it
is
that
sunday
just
got
the
praise
that
was
adjusted
by
the
quantifiers.
C
And
the
second
thing
which
I
didn't
bring
up
because
I
just
realized
it
unfortunately,
is
in
any
kind
of
distance
based
thing.
We
need
to
be
careful
to
normalize
the
distance,
the
coordinates,
because
otherwise,
the
one
that
has
the
largest
like
if
we're
clustering,
but
we're
clustering
on
things
that
have
very
different
scales,
then
we'll
tend
to
cluster
based
on
just
one
or
two
variables,
so
it
might
be
good
to
look
at
for
that
type
of
distance
based
things,
it
might
be
good
to
be
careful
about
scaling
the
variables.
C
F
Yeah,
just
real
quick
thanks,
octopus
great
work,
and
I
appreciate
I
appreciate
your
repeated
cautions
for
the
reasons
you
described
and
also
just
right.
It's
such
it's
such
a
complicated
data
set
with
so
many
assumptions,
inlaid
and
subjective
interpretations
embedded.
It's.
F
F
When
data
analysts
speak
articulately
about
these
types
of
analysis,
it's
just
important
that
people
don't
sort
of
latch
on
to
that
interpretation
and
to
consider
it
just
in
the
realm
of
things,
and
so
those
disclaimers
are
useful
and
appreciated.
So
thanks,
sorry,
that
was
one.
F
G
Yeah,
I
totally
agree
with
you
craig
yeah
this.
This
is
words
of
wisdom.
I
think
from
a
lot
of
experience
and
it's
really
appreciated.
These
are
all
just
tools,
and
this
is
a
really
complex
data
set
yeah
craig,
you
said
it
well,
a
complicated
data
set
with
a
lot
of
subjective
interpretations,
embedded,
that's
exactly
what
it
is,
so
we're
getting
glimpses.
G
You
know
we're
getting
all
these
insights
and
glimpses
into
the
data
set,
but
yeah
we
can't
be
overly
attached
to
any
sort
of
interpretation,
but
I
think
sort
of
my
hope
is
that,
through
the
wisdom
of
the
crowd
will
get
this
sort
of
aggregate.
G
I
think
we
need
to
really
rely
on
the
community
and
and
present
the
results
and
have
as
many
eyeballs
on
them
as
we
can
and
utilize
what
the
tec
is
really
strong
for,
which
is
the
sort
of
cultural,
soft
governance
and
sense-making
and
advice
process,
and
I
feel
like
through
discourse
throughout
the
community,
there's
going
to
be
some
really
useful
insights
that
come
out
of
this
work
that
none
of
us
data
scientists
will
even
really
see
in
the
first
place
and
yeah.
It's
it's
been.
G
Such
a
joy
to
work
on
this
project,
like
I,
I
think,
everyone's
really
happy
with
with
what's
come
out
of
it.
It's
it's
gone,
gone
beyond
my
expectations
for
sure
it's
I'm
really
impressed
with
the
work
that
that's
been
coming
out
of
this
on
such
a
short
timeline
too,
so
really
excited,
I
think,
we're
meeting
on
sunday.
I'm
definitely
I
know
livy's
gonna
pop
in
on
sunday
at
least
it'll
be
a
sort
of
handoff,
but
maybe
we
take
some
time
now
to
kind
of
synchronize
around.
G
I
the
way
I
see
it,
there's
been
a
lot
of
work
done
actually
in
in
the
forum
post
thread,
jessica
and
livia
have
been
very
active
in
there.
I
think
I
think
I
heard
a
mic
come
off
so
I'll.
Take
a
moment
to
pause
was
that
you,
octopus,.
C
Yeah,
I
just
want
to
say
I
don't
think
this
will
happen,
but
one
of
my
concerns
is
that
we
may
be
asked
to
become
arbiters
in
sort
of
other
people's
disagreements
and
that's
not
what
I
I'm
not
interested
in
doing
that.
I'm
not
capable
of
doing
that.
C
I
I
think
what
what
the
numbers
can
provide
is
sort
of
objective,
quantitative
answers
to
objective
quantitative
questions,
but
then
there's
still
this
whole
world
of
interpretation
that
can
be
put
on
that
that
I
guess
just
to
be
clear
for
myself
that
I
think
I'm
happy
to
do
this,
but
I
also
want
people
to
know
sort
of
what
its
role
and
purpose
is
and
like
I'm
not
trying
to
enter
any
debate
on
any
side.
I
just
saw
an
opportunity
to
lend
my
skills
in
a
way
that
I
thought
might
be
helpful.
A
That
I
just
came
across
participation
that
katie
had
in
the
forum
I'm
sharing
her
posts
in
the
labs
channel.
If
you
want
to
check
it
out.
I
just
think
that
I
mean
there's
a
lot
of
stuff
that
I
don't
get.
That
is
like
more
mathematical
or
related
to.
A
I
don't
know
like
programming,
but
I
do
feel
that
this
is
a
like
a
great
approach
to
some
topic,
so
I
get
that
you
are
like
worried
about
becoming
arbitrary.
It's
I
actually
do
have
like
a
lot
of
like
insecurities
during
this
process,
but
I
I
really
really
liked
what
what
katie
contributed
with
so
yeah.
If
you
want
to
check
it
out,
I
I
feel
that
contributes
a
lot
and
in
the
human
level
of
the.
G
Yeah,
I
think,
generally
the
more
voices,
the
better
I
mean
it's
hard
because,
like
octopus
said,
let's
do
our
best
to
you
know
not
introduce
noise
and
find
signal,
and
in
in
every
discussion,
there's
there's
a
little
bit
of
noise
and
a
little
bit
of
signal,
but
I
think
generally
it's
you
know
the
more
the
more
voices
we
have,
the
more
the
more
noise
we'll
have,
but
also
the
more
signal.
So
it's
like
yeah,
it's
you
gotta.
You
gotta
break
a
few
eggs
to
make
an
omelette
like.
G
I
think
this
I
really
gotta
praise
like
jess
and
jessica,
oh
jess
and
jessica,
jeff
and
jessica,
because
they
really
started
this.
They
opened
pandora's
box,
you
know
they
they,
I
think
it
was
about
a
month
ago.
G
They
got
a
little
bit
of
resistance,
but
they
were
knocking
on
the
door
and
they
said
hey
everyone
we
have
to
what
are
we
doing
if
we're
not
analyzing
the
system
that
we've
implemented
and
deployed
and
and
all
of
this-
and
I
think
it's
just
awesome
to
have
like
voices
coming
out
and
perspectives
and
whether
it's
on
the
human
side
or
the
math
side,
like
I
feel
like
we
gotta,
really
shake
up
this
box
to
get
to
something,
because
this
I've
been
saying
this
is
this
is
a
giant
experiment
right
and
it's
like
experiment
zero,
so
it
it's
only
up
from
here.
G
I
think
the
praise,
the
praise
system's
biggest
feature
is
just
it's:
it's
not
the
numbers,
it's
not
the
numbers,
it's
just
the
community
binding
effect
of
having
people
see
each
other
and
and
yeah
just
really
showing
gratitude
for
each
other
and
and
all
that
and
yeah.
I
think
this
I've
read
about
half
of
this
so
far.
G
I
think
it's
really
interesting,
and
I
really
appreciate
that
katie
posted
this
and
it'll
be
nice
to
see
the
intersection
of
different
community
voices
on
on
the
human
side
and
on
the
quantitative
side
and-
and
I
think
it'll
be
really
interesting
to
see
different
community
members.
People
like
katie,
you
know,
take
a
look
at
the
at
the
dashboard,
I'm
I'm
sure
you
know,
or
griff
or
or
livy,
like
the
insights
that
will
come
from
people
who
are
not
data
scientists,
but
playing
around
with
the
tools
and
again
this
is
we.
G
We
have
to
be
mindful
of
what
octopus
was
saying
like
we
can't
get
too
attached.
It's
it's
not
like
the
answer
to
all
our
problems
are
right
here
in
the
dashboard.
You
know
that
that
would
be
dangerous
thinking,
but
yeah
it'll
be
it'll.
Just
I
like
the
cross-pollination
idea
of
like
non-data
scientists
playing
around
with
this
data.
They'll
probably
see
things
that
octopus
and
muhammad,
and
I
never
really
thought
of
and
yeah
just
really
really
stirring
the
pot.
The
the
tapestry
of
the
community
is
really
something
so.
G
And
we
have
a
few
minutes
left
I'll,
be
in
touch
with
sebnam
over
possibly
structuring
a
series
of
labs
that
provide
this
expansion
into
mathematical
and
systems
modeling
for
the
ecosystem,
value
flows
course.
That's
really
interesting,
so
maybe
that'll
start
next
week
and
we'll
do
a
series
of
three.
So
I
I'll
keep
everyone
posted
on
on
how
that's
going
and
meanwhile
feel
free
to
reach
out
anytime.
G
If
you
have
ideas
for
the
labs
or
if
you
want
to
get
some
information
on
events
coming
up
or
what's
happening
in
the
hacc
sessions
or
if
you
are
stuck
installing
a
python
library,
yeah
reach
out
anytime-
and
I
love
seeing
activity
in
the
labs
channels
like
feel
free
to
bring
questions,
bring
comments
post
stuff,
it's
really
nice,
seeing
all
this
nft
skills
forest
activity.
G
G
Otherwise,
I'll
be
around
on
sunday,
I
know,
livy
is
going
to
pop
in
for
this
sort
of
handoff
to
the
softgov
community,
to
structure
proposals
around
the
idea
of
impact
hour
interventions
based
on
analysis
and
and
also
just
based
on
soft
gov
principles
and
ideas,
and
how
to
structure
those
and
introduce
voting
systems
for
that
so
that'll
be
on
sunday
and
also
probably
a
lot
of
really
cool
hacking
on
modeling
stuff.
That
stem
was
showing
off
on
sunday,
so
that'll
be
fun.
F
Cool
thanks,
ygg
for
hosting
looking
forward
to.