►
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/
A
A
So
let's
do
a
round
with
all
of
us
and
talk
about
intentions
for
this
call
and
with
the
context
of
sort
of
what
are
you
interested
in
in
token
engineering?
What
are
you
seeing
in
the
community?
Is
there
anything
that
you
are
excited
to
be
researched
or
to
be
researching
or
anything
in
the
world
of
token
engineering
that
you
want
to
bring
up
hi
octopus.
A
So
yeah
so
yeah
we'll
start
with
a
round
of
intentions.
So
I'll
go
first.
A
So
I
think
this
is
pretty
interesting.
I
want
to
bring
this
up
today
and
think
about
how
this
could
be
organized
and
yeah
what
what
the
sort
of
manifesto
of
that
might
look
like
and
who
might
be
interested
so
bonding
curve
working
stream.
A
A
A
B
A
And
is
there
anything
else
that
there's
also
a
lot
of
great
work
coming
out
of
the
balancer
research
group,
so
I'm
yeah.
If
anything
on
that
topic
comes
up.
I
think
it's
quite
interesting,
but
I'll
leave
it
at
that
for
now
for
me
and
I'll
pass
it
over
to
who
do
we
have
here,
bk.
A
Anything
you,
you
think,
needs
more
research
attention
or
that
you
want
to
comment
on.
B
Okay,
yeah,
so
just
extending
on
your
idea
of
know,
it's
a
python
library
like
you,
you
send
a
proposal
to
somewhere.
I
don't
have
the
link,
but
so
I
was
trying
to
create
a
class
based
objects
in
our
idf
discard
I'll,
give
github
wrapper
and
like
it's
it's
on
a
different
branch,
but
I
created
a
new
wrapper
and
then
you
can
extend
that
and
then,
like
everyone
can
contribute
whoever
wants
in
that
repo.
B
B
Okay,
okay
and
this
week,
I'm
I'm
I'm
going
to
try
some
work
on
my
balancer
research
and
like
testing
the
live
strapping
data
on
my
balance,
a
video
to
optimize
like
reducing
the
impermanent
loss.
B
So
I'm
going
to
start
the
like
actual
simulation
on
python.
This.
B
A
B
Yeah
I'll
pass
it
to
jake.
Sorry,
oh
yeah
go
on,
so
we
are
just
discussing
our
intentions
around
the
token
engineering
and
what
what's
something
new?
We
came
up
with
this
week.
Yeah
to
you.
B
C
C
B
B
Yeah,
don't
need
to
take
a
look
at
it.
A
Yeah
yeah,
maybe
we
can
even
look
at
that
a
little
bit
on
this
call
depending
on
how
the
time
goes.
But
that's
that's
super
interesting
yeah
and
I
think
the
key
so
this
okay,
let's
face
it
guys.
This
is
just
an
ltf
call.
A
So,
okay,
so
as
long
as
we
can,
we
can
stay
coordinated
in
terms
of
because,
like
that,
bonding
the
bonding
curve
models-
they're
not
really
finished-
I
mean
it.
Just
has
the
reserve
ratio
function
and
some
of
the
other
parameters
there's
a
lot
of
work
to
be
done
yet
and.
A
B
B
B
B
A
B
B
Yeah
I
can't
screen
so
when
you
pip
install
it,
you
just
go
from
augmented
bond
and
curve
import
model,
and
then
you
can.
You
have
access
to
all
the
functions
in
them.
B
A
Okay,
so
you're
saying
if
we
go.
B
B
A
A
A
A
But
yeah
I
was
expecting
the
requirements
johan
to
for
to
get
something
on.
Pi
pi
is
to
have
a
setup.pi
file.
B
B
Nicolas
I've
been
looking
into
and
trying
to
make
sure
I
understand
bonding
curves.
I've
found
a
pretty
useful
resource
from
block
science
to
a
really
nicely
put
together.
A
presentation
do.
A
B
B
But
yeah
so
other
than
that,
mostly
just
just
trying
to
absorb
as
much
as
I
can
about
token
engineering
best
practices.
A
B
A
Yeah,
this
is
a
pretty.
This
is
a
pretty
famous
presentation.
I
think
a
lot
of
people
have
referenced
this,
so
this
is
the
fundamentals
of
a
bonding
curve.
You
have
some
amount,
some
supply
of
tokens,
maybe
call
it
s,
there's
actually
another
here
I'll
share
another
resource.
A
A
A
So
every
time
you
mint
a
token,
your
price
goes
up
by
the
same
amount
yeah
and
if
n
is
greater
than
one,
you
get
this
sort
of
exponential
growth
in
your
price
relative
to
the
supply
and
if
n
is
less
than
one
you
get
this
like
sub
exponential
growth,
and
so
that's
what
we
have
so.
I
can
actually
show
that
off
now
that
I've
pip
installed.
A
So
I
should
be
able
to
go
just
I'll
just
jump
to.
I
think
I
have
like
a
scratch
cache
cd
in
the
workspace.
A
B
B
A
A
It's
hanging,
I
think
it's
gonna
work.
Let
me
just
close
this
down
close
this
down.
B
A
B
B
A
A
A
Yeah,
there's
something
wrong
with
my
the
fact
that
I
have
anaconda
installed
on
my
system
and
it's
forcing
my
jupiter
notebook
to
run
from
my
anaconda
package.
Even
when
conda
is
deactivated
and
I
have
a
virtual
environment.
A
A
Anyways,
so
this
is
cool
johan,
so
it
works.
I've
installed
it
and
now
we
have
a
bonding
curve,
and
this
is
the
cool
thing
about
panel.
So
it's
like
you
get
it.
It's
a
parameter
as
r
is
a
parameterized
object,
so
we
can
get
these
visualizations.
A
For
free
and
then
we
can
also
just
you
use
this
as
an
object,
so
we
know
that
it's
if
the
reserve
ratio
is
0.84,
then
well,
what
can
we
do?
Reserve
ratio
is
0.84
price,
so
we
can
get
the
price
okay
and
we
can
set
the
price.
A
A
As
you
manipulate
it,
you
can.
The
plot
will
change
in
real
time.
So
you
get
this
dashboard,
that's
decoupled
from
the
ability
to
manipulate
the
object.
A
A
So
if
we're
packaging
panel
param
objects,
we
might
need
a
way
to
expose
the
the
boundaries
on
the
parameters
to
be
able
to
change
them
it
because,
as
of
now,
you
have
to
you
go
into
the
actual
code
right
and
you
modify
the
path.
The
param
object
to
change
the
boundaries,
but
I'm
sure
there
is
a
case
where
the
supply
should
be
more
than
a
thousand
for
for
a.
A
A
Oh
no,
it's
like
this
r
dot
param
and
then
it's
like
a
dictionary,
so
we
can
say
supply
and
then
we
get
access
to
its
attributes,
so
dot
bounds
equals
zero
to
a
million
boom.
A
B
B
B
Browser
okay:
this
is
the
folder
where
I
set
everything
up,
so
it
can
be
uploaded
packaging
index
looking
source.
B
A
B
A
B
A
Okay,
so
we
haven't
even
made
it
all
the
way
around
yet
nicholas
has
been
looking
into
bonding
curves,
okay,
good,
so
I'll
share
this
hackmd
file
that
sem
and
I
have
been
putting
together.
B
A
A
A
So
it's
sundays
from
a.m,
till
3
p.m,
pst.
So
they
go
for
four
hours
and
it's
it's
pretty
casual.
It's
you
can
drop
in
at
any
time
drop
out,
hop
in
for
a
couple
hours
and
so
11
a.m
to
3
p.m.
Pst,
and
just
in
in
the
tec
here
and
it's
kind
of
a
it's
an
initiative
by
the
parameters
working
group-
so
that's
led
by
griff
and
actually
jake
was
a
huge
part
of
that
really
getting
that
bootstrapped
and
started
and
then
now
so
it's
a
co-effort
between
labs
and
parameters.
A
Now
so
the
last
six
weeks
or
so,
the
labs
have
been
mostly
focusing
on
and
analyzing
the
praise
data
set.
I've
been
working
very
closely
with
octopus
and
muhammad
on
that,
but
that's
that's
coming
to
a
close,
and
so
there's
going
to
be
a
lot
more
time
for
things
like
this
modeling
bonding,
curves
and
yeah.
B
B
A
C
C
Sort
of
already
come
up,
which
is
nice
in
working
on
the
pros
analysis.
I've
really
seen
the
value
of
dashboards
and
manipulables,
and
I
think
it
would
be
awesome
to
have
a
session
working
on
that.
I've
already
been
working
on
it
myself.
But
to
just
talk
about
that,
because
I
I've
seen
several
of
your
streams
shown
where
you're
working
on
those-
and
I
think
they're
really
cool.
C
A
A
Sometimes
I
get
carried
away
with
language,
I'm
kind
of
I'm
a
bit
of
a
I
don't
know
storyteller
or
something,
and
sometimes
my
language,
I
think,
isn't
the
most
objective,
but,
but
still
I
can
feel
it
when
you're
engaged
in
a
precise
conversation
with
someone-
and
it
really
is
discussions
about
sort
of
objective
truths
without
any
sort
of
value
judgments
put
on
the
wording
yeah
so
that
it's
a
really
interesting
concept
that
you're
playing
with
or
working
with
or
practicing
or
focusing
on,
is
understanding
the
audience
and
how
they
might
receive
certain
topics
or
concepts
or
words,
and
they
might
have
attachments
or
or
value
judgments
on
on
them,
even
if
it's
coming
from
the
speaker
isn't
just
an
objective
statement.
C
C
C
B
A
I
love
that
it's
a
huge
part
of
this
whole
decentralized
world
decentralized
networks
tend
to
be
anti-fragile
and
through
this
process
of
oh
I.
What
did
you
say?
Failure
and.
A
I
really
like
crypto
markets
because
they
have
this,
what
I
believe
to
be
a
very
natural
cycle
where
they
they
boom
and
bust,
and
they
really
crash.
I
mean
in
2017
the
market
crashed
by
nine
like
january
2018
february
2018,
the
markets
crashed
by
90
percent.
You
know
and
that's
brutal.
I
mean
that
can
really
be
devastating
for
people,
but
in
the
overall
sort
of
macro
structure
of
the
economy
or
the
ecosystem
of
crypto.
It
creates
a
an
extremely
strong,
it's
kind
of
like
a
forest
fire.
A
A
forest
fire
goes
and
clears
out
the
old
wood
so
that
there's
all
this
raw
nutrients
and
minerals
and
sunlight
for
the
the
new
growth
to
to
grow
and
become
even
stronger
than
the
previous
generation
and
that's
an
anti-fragile
property,
something
that
gets
stronger
through
stress
or
tension,
and
I
think
you
see
the
similar
things
with
the
crypto
markets
going
so
up
and
down
in
prices
and
and
just
the
volatility
and
and
the
different
dows
like
like
the
dao,
you
know
got
hacked
for
150
million
or
whatever
and
well
all
those
people
went
and
started
new
dows
and
that
aren't
getting
hacked.
A
You
know
and
that
it's
this
process
of
getting
stronger
through
stress
and
this
this
is,
I
think,
anti-fragility-
is
the
property-
or
maybe
I
shouldn't
say
this,
but
it's
so
associated
with
decentralization.
I
think
decentralization
and
anti-fragility
tend
to
go
hand
in
hand,
and
that
doesn't
mean
things
are
going
to
be
easy.
Just
because
something's
anti-fragile
doesn't
mean
it's
going
to
work
with
no
problem,
it
actually
means
the
opposite.
A
C
So
that's
that's
what
I
was
hoping
you
know,
maybe
to
invite
people
to
talk
about
it
in
in
two
hours.
If
they're
interested,
I
really
resonate
with
a
lot
of
what
you've
said,
and
the
only
thing
I
would
add
to
that
is.
I
think
that
one
of
the
things
that's
overlooked
is
the
importance
of
disseminating
the
strength
from
the
failure.
C
So
there's
supposed
to
be
a
reflection,
I
guess-
and
I
believe
the
the
model
of
a
sprint
involves
a
reflection
period
before
the
next
sprint,
and
I
think
that
in
in
this
space
in
particular,
because
everything
moves
so
quickly
we're
offering
this
on
to
the
next
thing
and
kind
of
from
taking
a
period
to
make
sure
that
we're
able
to
highlight
what
failed
and
what
we
learned
from
it
so
that
we
don't
make
the
same
mistakes
and
it's
possible
that
this
happens,
that
I
don't
see
it.
I
will
say
that
I
do
help
you.
A
A
Yeah,
I'm
I'm
looking
forward
to
that
meeting
today.
I'm
I'm
gonna.
A
A
B
A
A
Really
make
a
lot
of
proposals,
I
think
maybe
it
can
be
a
point
of
discussion
at
the
sunday
hack
session
because
that's
often
a
place
where
this
kind
of
stuff
makes
some
progress.
A
So
I
guess
on
that
note
I'll
invite
everyone
as
well
to
the
sunday
hack
sessions
9
00
a.m,
11
a.m,
pst
to
3
p.m.
Pst
in
tdc.