►
From YouTube: Filecoin as a Decentralized Substrate for Computing
Description
Join us for Filecoin Liftoff Week, an action-packed series of talks, workshops, and panels curated by the web3 community to celebrate the Filecoin mainnet launch and chart the network’s future. https://liftoff.filecoin.io/
Events take place all week, October 19-23, 2020.
For more information on Filecoin
- visit the project website: https://filecoin.io/
- or follow Filecoin on Twitter: https://twitter.com/Filecoin
Get Filecoin community news and announcements in your inbox, monthly: http://eepurl.com/gbfn1n
A
All
right:
well,
let's
get
to
chatting
about
a
decentralized
substrate
for
computing.
So
this
is
a
a
talk
that
that
I
wanted
to
give
to
just
paint
a
picture
of
about
how
we
might
what
are
the
next
steps
to
get
to
establish
fat
coin
as
a
platform
for
applications,
and
so
on?
Storage,
of
course,
on
in
computing,
is
not
just
about
the
data
that
you
store
in
a
network.
It's
really
about
the
computation
that
you
do
on
that
network.
A
Live
stream
playing
a
game
play
a
game
together.
You
know
all
those
kind
of
kind
of
superpowers
that
that
we
didn't
have
before
are
now
here,
thanks
to
thanks
for
computing
platforms,
but
we,
the
web3
right
now,
is
a
bit
far
from
from
enabling
and
empowering
all
of
the
kind
of
like
the
bulk
of
the
computation
that
the
people
do
on
in
the
world.
A
So
I'll
start
talking
about
a
few,
and
I
won't
kind
of
jump
around
and
talk
about
a
few
different
things.
Nothing
here
is
is
prescriptive.
All
of
it
is
just
as
as
inspirational
for
for
groups
out
there
that
that
want
to
make
some
headway
in
in
these
directions
so
before
jumping
into
into
these
applications.
A
I
want
to
make
a
quick
note
about
about
then
the
platforms
that
are
coming
in
the
future,
so
one
of
the
the
big
important
things
that
we
that
we
should
remember
is
that
you
know
it's
not
just
about
financial
systems.
It's
not
just
about
consumer
applications.
Computing
tends
to
reinvent
itself.
You
know
every
20
to
30
years.
There's
large
new
platforms
that
arise
and
and
then
once
in
the
horizon
right
now,
there's
a
few
kind
of
that
are
contending
to
be
to
be
that
next
platform.
A
A
The
large
major
shift
in
in
in
platforms
on
the
internet
was
that
one
of
social
networks
where
a
huge
fraction
of
the
population
in
the
world
started
experiencing
the
internet
as
just
what
they
see
in
the
social
networks,
just
the
tooling
just
the
tooling
that
sites
like
facebook
and
so
on,
give
them
the
ability
to
message
each
other,
the
ability
to
form
groups,
the
ability
to
spread
information,
the
ability
to
kind
of
react
to
that
information
in
in
a
social
network
kind
of
way
ability
to
share
video.
So
that's
that's!
A
That's
the
main
large
platform
shift
that
happened
kind
of
like
after
mobile
right,
so
so
there's
the
web.
Then
there
was
kind
of
the
web
2
dynamic
web
with
a
bunch
of
different
possibilities
and
mobile
sort
of
came
in
as
part
of
that
as
another
platform
shift
and
then
really
the
the
social
networks
that
have
been
started
in
that
era
came
in
and
sort
of
locked
in
across
the
world
to
now
kind
of
be
the
main
way
by
which
hundreds
of
millions
of
people
billions
of
people
communicate
every
day.
A
So
those
platforms,
these
social
networks
are
fundamentally
different
than
the
early
internet
or
than
the
early
web.
The
early
internet
and
the
early
web
were
both
very
open
environments
where
anybody
could
add
resources
to
the
network.
Anybody
could
add
information.
Anybody
could
add
links
everybody
kind
of
had
full
control
of
the
experience.
There
was
no
kind
of
ulterior
motives,
hidden
and
lurking
in,
as,
like
you
know,
tracking
pixels
and
all
these
these
kinds
of
kinds
of
tools
over
time.
A
Those
systems
as
the
social
networks
came
in
most
of
that
information
started
disappearing
and
moving
to
these
well
designed
and
well-constructed
experiences
and
social
networks
that
they
started
gathering
all
of
these
groups
of
people
and
making
those
platforms.
Not
only
incredibly
useful
and
and
by
the
way
that
social
networks
have
done
an
enormous
amount
of
good
in
in
the
world
in
connecting
people
and
enabling
us
to
to
better
communicate
with
each
other
and
stay
in
touch
with
a
lot
of
our
of
our
communities
and
our
families,
and
so
on.
A
It's
kind
of
hard
to
to
imagine
a
world
without
social
networks
now,
but
at
the
same
time,
these
platforms
did
so
in
a
way
that
put
the
corporations
that
built
those
platforms
in
full
control
of
the
of
the
user
experience
and,
ultimately,
the
the
psychological
and
you
know
the
psychological
experience
of
the
people
going
through
through
those
systems
and
that
also
drives
behavior,
as
we've
seen
recently,
with
with
with
all
the
kind
of
misinformation
and
and
so
on.
That
has
happened.
A
I
think
that
as
soon
as
we
get
the
first
fully
immersive
vr
experiences
or
or
ar
experiences
that
are
high
quality
enough
for
millions
of
people
to
use
the
world
is
going
to
change
again
and
dramatically.
So
I
think
that
change
is
going
to
be
very
fast,
like
the
social
networks
change,
which
was
quite
fast.
A
But
that's
basically,
you
know
around
three
to
three
to
eight
years
away
from
getting
to
kind
of
a
consumer
level
device
that
is
cheap
enough
for
for
a
lot
of
people
on
the
planet,
to
afford
and
and
could
have
high
fidelity
enough
that
the
experience
is
actually
very
good
and
and
so
on.
At
the
same
time,
there's
these
you
know,
there's
a
whole
creation
of
the
experiences.
Are
there
going
to
be
games?
A
Are
there
going
to
be
other
kinds
of
other
kinds
of
media
that
are
going
to
emerge
thanks
to
the
new
medium?
All
of
that
is
still
kind
of
figured
out,
but
what
we
do
know
is
that
whoever
is
in
control
of
those
platforms
and
those
experiences
is
going
to
be
able
to
in
effect
create
the
reality
of
hundreds
of
millions
of
people
or
billions
of
people
around
the
world
in
a
way
that
has
has
never
been
done
before
we're
talking
about.
A
You
know
fully
being
able
to
to
define
experiences
that
are
so
close
to
real
that
that
they
will
become
extremely
difficult
to
disconnect
from,
and
so
if
we
think
that
misinformation
today
is
a
problem.
You
know
we're
sailing
straight
towards
completely
created
and
fabricated
realities
that'll
be
very
difficult
to
shake.
So
I
think
it's
extremely
important
that
a
society
we
establish
dramatically
better
platforms
ahead
of
when
artificial,
sorry
ahead
of
augmented
reality
and
virtual
reality
platforms.
A
So
when
those
arrive,
we
should
already
have
a
dramatically
better
computing
platform
that
it
does
not
does
not
kind
of
lock
in
the
data
and
does
not
hold
users
hostage
to
to
a
few
parties
and
in
order
to
get
there,
we
have
to
do
a
lot
of
work
between
now
and
then
to
prove
out
how
these
decentralized
storage
platforms
and
computing
platforms
can
work.
Make
all
of
the
developer
tooling.
A
Actually,
work
well
make
the
user
tooling
work
well,
so
that
we
can
build
these
kinds
of
systems
to
be
preferred
by
application
developers.
At
the
end
of
the
day,
the
platform
that
is
going
to
win
and
a
platform
that
is
going
to
be
dominant
in
in
any
computing
infrastructure
is
the
one
that
manages
to
give
the
best
experience
to
users
and
developers
both
meaning.
A
It
has
to
be
good
enough
for
developers
to
do
what
they
need
to
do
and
to
build
the
experiences
and
applications
they
want,
and
it
has
to
be
phenomenal
for
users
and
really
be
the
best
experience
that
users
have
have
to
have
to
choose
and
getting.
There
is
not
easy,
and
so
web
3
has
been
very
focused
on
the
on
the
on
the
world
of
finance
and
new
kinds
of
you
know.
A
A
A
If
it's
not
cheaper
and
it's
not
better
ux
wise,
it
won't
win,
and
so
that's
that's
the
target.
Now.
How
do
we
get
there?
It's
a
tall
order,
so
I
think
it
really
boils
down
to
this
kind
of
flow
where,
if
you
get
the
data-
and
you
enable
computation
on
it
on
that
data-
and
you
make
that
cheaper
and
faster
and
better
wx,
if
you
get
those
those
things
right,
then
applications
will
flow
to
that
platform
and
the
applications
will
bring
the
users.
A
So
we
have
to
get
this
right,
and
this
has
not
been
true
for
web3.
Yet
we
haven't
gotten
these
things
right.
So
let's
talk
about
how
to
get
the
data
and
how
to
get
the
computation.
So
you
know
we're
standing
today
with
with
a
network
that
is
super
large.
We
have
hundreds
of
petabytes
of
capacity
we're
closing
in
on
an
exabyte
which
is
a
truly
staggering
size
of
data.
A
Now,
of
course,
if
we
want
to
you,
know
rival
and
compete
with
large,
the
large
players
like
then
we'll
have
to
hit
in
the
you
know,
tens
to
hundreds
of
ex
bytes
and
we're
kind
of
on
track
to
to
grow
towards
that.
But
we
don't
need
any
more.
I
think
we've
reached
an
excellent
level
of
capacity,
and
and
now
we
have
to
focus
on
making
it
at
capacity
actually
very
useful
for
applications
and
for
the
storage
of
data
in
in
the
large.
A
So
this
is
kind
of
like
a
like
a
view
of
the
of
the
network
storage
graph,
and
so
really
we
have
to
ship
the
shipping
folks
of
the
community
towards
making
this
storage
very
useful
to
these
systems
and
these
applications
and
so
on,
and
we
can
start
with
all
of
the
web3
apps
that
exist
already
in
in
the
iphone
sequel
system
right.
So
all
of
these
these
applications
already
use
ipfs.
The
combined
volume
of
that
data
is
probably
you
know
a
few
terabytes,
maybe
maybe
closing
in
on
a
petabyte.
A
But
it's
not
that
much.
We
can
store
all
of
that
data
on
falcoin
and-
and
you
know,
nada
and
replicated
many
times
over
and
not
worry
about
kind
of
you
know
and
we'll
still
have
constant
capacity
left
over.
So
you
know
one
one
kind
of
first
order
of
business
for
for
the
network
as
a
whole
is
to
is
to
really
kind
of
go
through,
go,
go
and
get
in
touch
with
all
of
the
the
folks
that
are
using
mpfs
and
and
talk
to
them
about
hey.
You
know
how
how
useful?
A
So
a
lot
of
them
are
already
dapps
that
use
crypto
tokens
in
some
way
and
so
they'll
be
able
to
kind
of
use
and
transact
without
going
up
in
a
fairly
straightforward
way,
now
kind
of
thinking
ahead.
Beyond
that
there's
a
few
data
sets
that
I
think
are
very
important
for
for
the
community
to
to
work
on,
and
so
the
first
one
is
developer
assets.
A
Work
will
then
start
playing
around
with
hackman
and
using
it
and
and
will
start
helping,
contribute
to
falcon
and
help
develop,
develop
it
as
a
technology
and
so
in
a
sense.
Providing
creating
a
lot
of
value
for
developers
worldwide
will
help
bring
them
as
a
as
a
group
to
to
the
problems
that
we're
working
with
and
and
will
help
scale.
The
network
and
so
kind
of
directions
here
include
hey,
going
go
to
provide
a
super,
cheap
and
easy
way
to
replicate
packages
and
distribute
it
distribute
them.
A
You
know,
drop
the
bandwidth
bills
for,
for
all
all
of
the
package
manager.
Folks,
everywhere
drop
the
bills
for
everybody.
Distributing
containers
really
make
make
falcon
the
number
one
place
where
developer
assets
go
to,
and
if
we
can
do
that,
then
then
that
will
drive
a
a
large
amount
of
usage
in
to
the
network,
and
I
think
that
this
this
is
something
that
we're
very
as
a
community
very
well
poised.
For
at
the
moment,
the
network
can
already
take
all
of
these
kinds
of
assets.
A
There's
a
bunch
of
tooling
that
that
people
have
built
to
ingest
a
lot
of
these
these
package
managers
and
to
kind
of
replicate
them
and
create
mirrors
on
on
ipfs.
I
think
the
next
step
from
there
is
making
the
distribution
and
the
delivery
really
fast.
That
is
something
I
think
right
now
will
probably
not
be
nbs
good,
and
so
that's
something
that's
an
area
for
for
people
to
work
on.
A
Then
containers
is
a
whole
other
angle
that
that
we're
starting
to
to
hit
on
this
there's
a
was
a
talk
earlier
in
the
conference
about
being
able
to
do
kind
of
like
a
decentralized
docker
hub
with
with
ipfs
and
falcoin.
So
definitely
look
at
those
tools,
but
I
think
another
approach
might
be
just
to
get
in
touch
with
docker
hub
itself
to
to
distribute
all
of
the
all
of
the
containers.
A
Now
then,
then,
we
starting
started
to
think
about
kind
of
more
all
the
other
kinds
of
developer
oriented
tooling.
I
think
one
really
useful
talk
that
we
had
earlier
today
was
around
the
machine.
Learning
data
sets
world
if
we
can
make
pipeline
a
you
know
an
excellent
tool
for
for
distributing
machine
learning
data
sets
and
for
computing
on
them.
That
is
going
to
to
a
be
an
extremely
useful
and
valuable
use
case,
but
b
is
going
to
again
bring
a
lot
of
developers
to
to
experience
the
platform.
A
I
encourage
you
to
check
the
the
nebula
cloud
that
the
charles
talked
about
definitely
play
around
with
that
try
using
it
and
so
on,
and
I
would
further
encourage
you
to
start
thinking
about
taking
all
of
the
large
scale
machine
learning
data
sets
that
exist
and
replicating
them.
You
know
all
these
open
access,
machine
learning,
data
sets
and
replicating
them
to
falcon.
A
A
So
as
soon
as
that,
data
is
in
in
the
falcon
network,
that'll
just
attract
a
lot
of
developers
to
compute
with
with
a
data
on
file
coin,
and
so
you
know,
platforms
like
this
one
that
will
kind
of
disseminate
and
distribute
the
the
the
computation
to
all
these
nodes
out
there
and
then
kind
of
return.
The
results
will
be
could
be
really
really
successful.
Now.
A
hurdle
here,
of
course,
is
how
do
you
do
proper
kind
of
verifiable
computation?
A
So,
for
example,
all
of
the
audience
music
data
set
is
already
on
ffs,
so
it's
all
addressable
there
and
it's
very
easy
to
move
over.
So
that's
something
that
is
should
be
fairly
straightforward
for
for
anybody
to
do
and
both
you
know
both
projects
are
super
open.
So,
if
somebody's
interested
in
doing
that,
I
think
that
could
that
could
go
a
long
way
similar
to
music.
A
I
think
video
is
you
know
one
of
the
core
use
cases
that
that
we
should
be
going
after,
if
not
the
core
one
video
represents
a
a
you
know.
The
majority
of
the
bandwidth
usage
of
the
internet,
especially
going
to
consumers,
you
know
kind
of
data
center
data
center
flow
is
other
kinds
of
computation,
but
data
center
to
consumers.
A
I
think
it
would
be
really
great
to
to
think
about
kind
of
like
what
would
be
the
what
would
be
existing
websites
that
might
transfer
their
video
libraries
over
to
over
to
be
sorted
with
plotcoin
or
what
new
video
platforms
could
be
created
in
web
3
that
that,
maybe
you
know,
couldn't
really
be
done
in
web
2.
That
then,
could
leverage
the
the
tooling
that
we
have
here
to
to.
A
So
games
are
a
one
of
the
biggest
set
of
experiences
that
people
have
with
computers
and
games
have
been
the
source
of
just
a
tremendous
amount
of
a
tremendous
amount
of
activity
and
development
and
inspiration
and
technology
has
been
made
just
for
for
for
building
a
better
and
better
games.
It's
in
a
big
way.
Over
the
decades
games
have
pushed
the
limits
of
computing,
have
dragged
computing
in
various
directions.
A
A
These
folks
they'll
they'll
be
thankful
for
that
and
get
excited
about
about
this
kind
of
platform,
but
also
it'll
start
getting
them
thinking
about
a
different
kind
of
way
of
combining
game
assets
so,
especially
because
they're
open
source,
you
could
think
about
combining
the
assets
in
across
different
games.
So
you
can
suddenly
start
building
these
libraries
of
open
source
assets
and
then
creating
games
in
a
much
easier
and
faster
way.
Now,
that'll
only
work
for
some
kinds
of
experiences.
Of
course,
some
really
high
quality
games
will
will
require.
A
A
So
let's
look
at
the
centerland
and
cryptovoxels,
and
you
know
these
are
really
amazing,
wonderful
environments
that
you
can
go
and
spend
time
in
today
and
go
hang
out
and
explore
and
start
interacting
with
with
other
people
with
and
kind
of
you
can.
You
can
kind
of
have
there's
a
bunch
of
like
really
cool
art
galleries
that
are
cropping
up
in
in
both
of
these
platforms.
A
I
spent
a
fair
amount
of
time
just
exploring
and
browsing
around
and
looking
at
amazing
creativity
that
people
are
pouring
into
these
worlds
and,
let's
make
all
of
these
storage
comments,
be
crypto
native.
Let's,
let's
move
them,
let's
replicate,
let's
start
by
replicating
all
of
this
data
for
them
and
then
use
that
as
a
way
to
kind
of
improve
the
tooling
perfect
it
and
get
to
a
point
where
other
virtual
worlds
like
these,
you
know
their
best
bet
for
winning
would
be
to
to
use
falcon.
A
And
if
we
can
get
you
know
these
things
right,
get
get
it
right
for
virtual
worlds,
get
it
right
for
for
games
for
episodes
games,
then
that'll
that'll
create
a
a
pathway
for
for
for
the
whole
games
industry
of
the
future
to
to
really
use
use
falcoin.
So
I
really
think
that
these
are
the
you
know
core
use
cases
not
not
be
queries,
because
this
is
like
a
you
know,
an
opinion
here.
A
A
lot
of
other
people
have
have
a
bunch
of
other
other
ideas,
but
but
you
know
if
we,
if
we
focus
on
getting
the
data
and
allowing
computation
around
the
data
for
virtual
worlds,
games,
video
and
other
kinds
of
media
and
machine
learning
and
developer
assets
like
those
are
that
I
think
that
the
next
use
cases
that
we
should
be
should
be
really
focusing
on,
and
so,
as
a
broader
community.
You
know
nobody
can
do
all
these
things
at
once.
A
No
one
group
is
gonna
is
gonna
work
on
this
in
on
all
of
this,
but
different
groups
can
work
on
each
one,
and
so,
if
you're,
a
group
out
there
or
a
company
or
a
just
a
community
that
is
interested
in
pushing
web3
or
pushing
contributing
to
falcoin
or
contributing
to
these
communities,
really
consider
taking
on
this
large
use
case
directly,
and-
and
this
is
something
where,
where
you
know,
the
the
falcon
community
as
a
whole,
maybe
might
be
very
interested
in
supporting
that
work.
So
probably
there
will.
A
You
can
probably
apply
for
grants
and
in
the
in
future,
grant
waves-
or
you
know
there
might
be
funding
for
companies
that
kind
of
form
around
around
this
kind
of
thing.
So
a
lot
of
parties
and
a
lot
of
groups
building
on
on
ibfs
and
falcoin
and
web3
in
general,
and
if,
if
one
of
the
groups
out
there
goes
in
and
attacks
one
of
these,
these
use
cases
and
really
nails
it
they
could.
They
could
actually
get
pretty
significant
funding
to
to
build
an
organization
to
do
this.
A
A
You
know
the
kind
of
the
next
important
set
of
things
is
to
help
onboard
a
lot
of
developers
through
these
platforms,
and
so
we
already
had
a
lot
of
great
success
with
hack
fest
on
the
and
the
apollo
program
earlier
this
year
and
so
continuing
to
do
this
as
a
community
continuing
to
to
do
these
hackathons
to
build
out
a
lot
of
stuff
to
improve
the
developer.
Experience
explain
a
lot
of
stuff
out
there
to
to
developers,
make
things
easier.
A
A
You
need
to
be
able
to
fund
people,
for
you
know
many
months
to
to
a
year
or
so
to
go
out
and
really
own
a
use
case
and
really
build
it
out,
and
so
I
really
think
of
this
kind
of
improvement.
Loop
of
supporting
new
new
teams
to
learn
the
technology,
give
them
space
to
develop
and
try
out
building
applications
and
then
support
their
growth
through
things
like
accelerators
or
grants.
A
Getting
these
these
things
right
is
going
to
kind
of
in
a
sense,
get
the
applications
to
be
built
in
falcon,
and
these
are.
These
are
new
applications.
Of
course
simultaneously.
We
could
be
going
out
to
the
web
2
world
and
kind
of
getting
a
bunch
of
the
applications
that
are
out
there
to
kind
of
move
their
storage
over
to
over,
to
falcon
and
kind
of
like
do
these
kinds
of
larger,
larger
kind
of
business,
development,
oriented
work
and
that's
a
that's
a
super
promising
area
as
well.
A
I
think
this
is
where
you
know
kind
of
goes
back
to
these
use
cases.
Go
talk
to
large
players
in
in
the
video
space,
go
talk
to
large
players
in
in
the
game
space
and
talk
to
them
about
falcon.
Talking
about
about
the
use
cases
figure
out
what
tooling
they
need,
go,
build
that
tooling
and
then
and
then
kind
of
on
board
those
those
groups.
So
this
is
again
a
huge
avenue
for
massive
amount
of
potential.
I
think
there's
a
lot
of
video
players.
A
A
So
that's
another!
You
know,
I
really
think
that's
a
like
a
huge
business
opportunity,
because
all
you
have
to
do
as
a
as
a
as
a
business
developer.
There
is
figure
out
what
the
structure
would
be
for
them
to
store
their
data
on
fat
coin
in
the
bandwidth
and
figure
out.
What's
cheaper
and
you
know
how
much
cheaper
it
is,
go
talk
to
them
and
say:
hey,
we
can
do
your
entire
distribution
flow.
A
You
know
startup
company
type
of
type
type
of
opening,
so
you
know
if
your
team-
that's
interested
in
doing
that
like
definitely
pursue
it
and
reach
out
to
to
folks
for
for,
for
help
and
and
funding
in
getting
that
great.
So
hopefully
that
has
you
know,
got
us
to
talk
about
the
data,
distribution
and
kind
of
the
initial
data
sets
and
getting
the
applications.
A
I
want
to
kind
of
close
by
reminding
us
that,
at
the
end
of
the
day,
it's
it's
really
about
running
computation
right,
so
we're
really
talking
about
being
able
to
compute,
along
with
the
data.
So
once
we
move
the
data
to
to
the
popular
network
and
it's
stored
in
with
platform
miners
and
so
on,
the
critical
you
know
kind
of
important
piece
there
to
make
these
applications
really
work
is
going
to
be
the
ability
to
run
computation
around
that
data.
A
So
a
potential
possibility
here
is
you
think
of
clouds
computing
clouds
like
golem
and
and
many
others
that
might
emerge
being
able
to
to
you
know
couple
with
falcone,
where
you
can
a
falcon
miner
can
be
simultaneously
a
miner
for
falcon
and
for
golem
or
whatever
the
computing
platform
may
be,
and
there
you
know
that
is
a
very
large
scale
problem,
there's
all
kinds
of
ins
and
outs
to
to
how
to
do
that
right
in
web
three.
Should
you
do
verifiable
computation?
A
Should
you
you
do
kind
of
trust
in
or
kind
of
like
check
the
computation,
but
without
having
to
do
any
kind
of
extensive
cryptographic
proofs?
Should
you
rely
on
reputation
systems?
Should
you
rely
on
on
mechanisms
that
you
know
part
reputation,
part
you
know
kind
of
proving
proving
misbehavior
and
so
on,
or
should
you
have
some
other
arrangements
with
with
you
know
between
the
parties?
That's
all
open!
That's
like
a
super.
A
I
think
open
area
for
for
development-
and
I
think,
that's
kind
of
the
the
a
large
arc
for
web3
will
be
how
to
how
to
do
that
computation.
Well,
I
think
today
the
the
trajectory
of
scaling
for
blockchains
won't
hit
that
on
its
own,
meaning
blockchains
are
right
now
struggling
to
to
to
kind
of
scale
in
terms
of
transactions.
A
And
you
know
today,
you
can't
really
issue
computation.
The
way
that
you
can
in
kind
of
amazon.
Ec2
or
orlando
over
these
kinds
of
networks,
but
but
we
could
be,
we
could
be
doing
that
in
a
in
a
in
a
very
short
short
time
period.
You
know
the
big
one
big
hurdle
was:
where
are
you
going
to
store
all
the
assets
and
the
data
and
the
code
and
all
that
kind
of
stuff
and
hey
we've?
We
solved
that?
A
No,
no,
we
have
this
network,
but
the
next
next
part
is:
how
do
you
do
the
scheduling
of
computation
to
to
really
go
over
over
all
the
data,
and
so
we
have
the
interest
of
that.
We
have
you
know
already.
There
was
a
a
presentation
earlier
in
this
conference
about
doing
kind
of
like
a
lambda
style,
computation
thing
on
top
of
falcoin
and-
and
there
was
a
you
know,
this
kind
of
machine
learning,
oriented
platform
that
we
saw
earlier
today.
A
These
are
very
good
directions,
we'll
see
how
they
play
out
over
the
next
few
months.
I'm
incredibly
excited
for
for
all
of
the
stuff
that
people
are
going
to
build,
and
you
know
kind
of
close
it
here
and
and
say:
let's
I'd
love
to
get
a
point
where
you
know
in
the
future,
I
can
have
a
slide
with
the
all
of
these
kinds
of
application
applications
flowing
through
through
filepoint
and
and
web3
the
last
one
I'll
maybe
mention
is
the
centralized
app
stores
are
really
a
big
piece
of
this.
A
So
the
big
kind
of
gatekeeper
of
all
of
the
application
platform
world
is
the
app
source,
and
so
that
means
the
platform
app
source
and
the
game
app
source
decentralizing.
Those
and
creating
a
super
high
quality
experience.
App
store
is
the
frontier,
and
I
think,
like
somebody
who
manages
to
build
that
and
build
it
very
well,
is
going
to.
You
know,
contribute
greatly
to
to
to
web3.