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From YouTube: Compute Over Data - Bridging On Chain Payments & Off Chain Computer (PL EngRes Demo Day March 2023)
Description
Once every month, the Starfleet teams get together to share progress in their projects in the format of a demo
[Compute Over Data] Bridging On Chain Payments and Off Chain Compute: Ethical Art, Generative AI, & Style Transfer - Overview of Bacalhau, FVM, Lilypad bridge, and Waterlily AI art project
Presenter: Wes Floyd
Compute Over Data enables trivial execution of functions against data stored in the IPFS/Filecoin network as easy or easier than existing solutions (Spark, Hadoop, etc)
Compute Over Data WG - https://www.cod.cloud/
Bacalhau Project - Learn more here https://docs.bacalhau.org/
GitHub https://github.com/bacalhau-project/bacalhau
Docs: https://docs.bacalhau.org/
Subscribe: https://bacalhau.substack.com/
We use these sessions for:
- Sharing progress made. These can be done in the format of a live demo, showcase of anything shipped (e.g. papers, architecture docs, etc) and any other kind of achievement that feels worth sharing with the group.
- Cross pollination opportunities made. Where folks get to learn about what others are doing and ask question on how they did it
- A way to keep project pace. Demo Days can be used as goalpost for delivering all the sprints results on time
To get involved, come find us on Filecoin Slack (https://filecoin.io/slack) and IPFS Discord (https://discord.gg/uSEwz3Dgsa)
You can also follow along with PL EngRes WG priorities and progress in realtime on our public Notion page (https://bit.ly/3tH34Vt)
A
My
name
is
Wes
Floyd
I'm,
a
product
manager
on
the
back
of
y'all
team
and
I'm
presenting
new
project
water
lily
on
behalf
of
a
much
broader
team.
Ali
hair
is
one
of
our
project.
Leads
Simon
from
our
team
has
been
doing
a
lot
of
development,
Kai
Luke
irina's,
our
team
is
helping
it's
really
I
guess.
A
lot
of
the
back
of
your
team
was
also
participating,
but
I
just
want
to
call
out
there's
a
lot
more
folks
that
are
doing
the
work.
I
happen
to
be
on
the
best
time
zone
for
this
session.
A
So
I've
got
to
take
you
through
the
content,
so
I'm
going
to
take
you
through
three
components
here.
First,
we're
going
to
talk
a
little
bit
about
how
back
of
the
outfits
in
with
fem
a
brief
refresher.
Then
we're
going
to
talk
about
Lily
Pad,
which
is
an
important
new
component,
we've
built
between
fem
and
backyal
sort
of
a
bridge,
and
then
I'll
spend
most
of
the
time
talking
about
ethical
art,
AI
generated
art
and
a
really
interesting
novel
approach.
A
I
think
this
is
one
of
the
first
projects
to
ever
do,
which
is
compensating
artists
not
for
their
work
on
chain
through
an
nft
but
through
derivative
styles
of
their
work
work
on
chain.
So
it's
a
fun
use
case
and
we'll
jump
right
in
so
for
a
little
bit
of
of
promo.
Here,
a
background
back
of
Yao
is
sort
of
almost
like
an
L2
on
top
of
the
file
coin
chain.
You
know
file
coin
chain.
Fevm
is
where
a
lot
of
our
coordination
work
happens
is
an
off-chain
compute
ecosystem.
A
You
can
find
out
information
about
it.org
to
see
more
about
the
architecture
and
effectively
it
can
run
any
sort
of
compute
that
can
be
containerized
in
a
Docker
container
or
was
in
binary
in
a
batch
mode
across
the
network
of
bacl
machines,
so
really
trying
to
get
the
best
of
both
worlds.
The
trust
and
verifiability
of
on-chain
with
the
verifiability
of
these
new
off-chain
compute
systems,
but
more
robust,
complicated
workloads
like
in
this
case
ml
model,
inference
for
generating
art
project.
A
Lily
Pad
is
the
bridge
between
layer,
1
and
Layer
Two,
so
Lily
Pad
is
effectively
it's
two
components.
One.
It's
a
smart
contract
on
Falcon,
Virtual
Machine,
it's
listening
for
events.
People
might
want
to
invoke
a
backyard
job,
so
it's
listening
for
them
to
invoke
those
jobs
and
then,
secondly,
it's
an
off-chain
demon
that
is
listening
for
events
that
are
triggered
through
the
lily
pad
events,
call
or
smart
contract
and
then
actually
triggering
those
backly
out
jobs.
So
it's
a
bit
of
a
of
a
bridge
at
this
point,
I'm
not
going
to
use
the
word.
A
Duct
tape,
I'm
going
to
use
the
word
Bridge,
so
anyways,
please
find
out
more
about
Lily
Pad
here
at
the
website.
Github
here
you
can
see
the
source
code.
This
is
a
component
that
we
will
potentially
open
up
to
more
broad
use
cases
we'll
talk
in
a
minute
at
the
end
about
other
applications
of
this
technology.
A
So
if
you're
thinking
about
scenarios
where
you
have
on-chain
workloads,
Smart
contracts-
that
are
you
know
very
smart
contract
intensive,
but
it
could
benefit
and
have
more
robust
capability
if
it
could
do
off-chain,
compute
or,
if
you're,
already,
using
that
off-chain
compute
today
in
AWS
or
gcp.
But
if,
if
that
compute
were
now
more
trustless,
verifiable
and
open,
those
are
exactly
types
of
use,
cases
that
we
want
to
help
you
with.
A
This
is
a
demo
from
Ali's
machine
of
actually
invoking
the
lily
pad
caller
solidity
contracts
and
in
our
GitHub
repo
you'll,
see
lots
of
examples
of
how
to
build
your
own
here,
but
eventually
it
enables
a
user
to
pay
for
a
job
using
fill
or
t-fill,
or
throw
in
testnet
specify
as
a
string
and
put
the
spec
of
the
off
chain
job.
They
want
to
run
what's
a
Docker
container
name,
what
what
specific
code
do
you
want
to
run
and
then
it
invokes
it.
It
sends
it
on
chain,
and
then
this
is
an
example
here.
A
The
the
previous
oops
hold
on
a
second,
the
previous
examples
that
we
used.
This
for
was
just
generating
stable,
diffusion
images,
and
let
me
do
this
here.
This
is
an
example
of
saying
we're
going
to
run
a
standard,
stable,
effusion
image,
stable
effusion
by
the
way
for
folks
that
are
not
into
machine
learning.
Is
it
is
a
framework
for
generating
Arc?
So
we
give
it
a
text
prompt
and
we
say
generate
unicorns
and
rainbows,
and
the
AI
can
magically
create
that
Arc.
No
human
had
to
draw
this.
A
So
it's
very
powerful
stuff,
but
what's
interesting
and
people
have
talked
about
in
the
past-
is
to
say
what,
if
I
wanted
to
generate
that,
but
generate
the
style
of
Van
Gogh
or
generate
the
style
of
Pablo
Picasso.
This
style
transfer
thing
is
another
layer
on
top
of
stable
effusion.
That's
a
really
fun
application
of
the
two
technologies
combined.
A
So
this
is
what
we're
working
on
in
the
past,
and
you
can
see
some
examples
of
how
the
AI
will
automatically
generate
different
combinations.
It's
all
random
each
time.
It's
all
unique
of
of
this
AI
generated
art.
So
the
next
thing
that
we
did
on
top
of
this
was
to
build
water
lily,
and
the
goal
here
is
to
say:
there's
a
lot
of
underrepresented
artists,
a
lot
of
opportunity
for
them
to
better
monetize
their
work,
so,
instead
of
actually
taking
their
work
and
selling
that
work
on
chain,
what
if
we
could
train
their
style.
A
So
if
there
was
a
new
artist
in
the
space,
let's
say
her
name
was
Misty
and
Misty's
got
a
tremendous
amount
of
work.
She's
got
40
or
50
different
art
pieces
in
her
collection
and
we're
not
going
to
to
do
any
work
with
or
copyrighted
work
we're
just
going
to
generate
a
style.
It's
a
it's
an
ml
model
effectively
that
represents
her
style,
and
so,
when
I
generate
rainbow,
unicorns
I
want
to
generate
it
and
miss
these
Styles
specifically,
and
I
also
want
a
portion
or
all
of
the
payments
to
go
to
Misty.
A
This
is
the
impetus
behind
water
lily
and
it's
a
great
way
to
bring
together
all
these
different
concepts
in
the
one
place
with
a
with
a
nice
sort
of
humanitarian
output.
So
we
are
going
to
be
launching
this
project
soon.
The
next
few
days
you'll
see
some
more
information
about
it.
If
you
visit
waterlily.ai
we're
still
working
a
few
bugs
out,
we're
still
growing
them
number
of
artists
that
we
have
on
the
page
here,
but
I
want
to
give
you
guys
just
a
little
bit
of
grounding
of
what
it's
like.
A
This
is
a
couple
fun
examples
from
our
internal
testing
of
what
it
looks
like
when
you
apply
this
style
transfer
to
generated
art,
so
we
found
in
the
public
domain.
This
was
an
artist
from
the
1800s
who
had
performed
lots
of
drawing
of
Native,
Americans
and
English
settlers,
and
things
like
that,
and
so
we
gave
it.
The
text
prompt
generate
a
picture
of
Barack
Obama,
so
this
is
Barack
Obama,
as
if
that
artist
from
the
1800s
had
drawn
Barack
Obama,
which
he
did
not
generated
image
of
Captain
America.
A
This
is
all
again
generated
images,
and
in
this
case,
after
the
the
work
comes
back
from
bacquiao,
we
will
be
sending
the
funds
to
the
artists
themselves
for
public
domain,
we'll
probably
donate
to
to
a
charity
that
aligns
with
Falcon
foundation's
Mission
and
then
a
couple
other
fun
examples.
We
can
even
take
things
that
are
very
messy
like
these
are
stills
from
an
artist
who
did
a
lot
of
noise
generated
art
with
music.
A
We
took
the
Stills,
we
trained
their
style
and
now
we
say
generate
rainbow
unicorns,
and
this
is
actually
rainbow
generated,
unicorns
with
that
that
style
applied.
Some
other
examples
here
from
a
1920s
artist,
with
some
interesting
illustrations
and
now
what
is
what
does
it
look
like,
as
if
that
artist
had
generated
Barack
Obama,
so
lots
of
fun
fun
things
we
can
do
there,
we're
really
just
scratching
the
service.
A
The
nfts
would
align
well
with
their
mission
so
more
to
come
on
that,
and
then
we
have
some
other
partners
that
were
interested
in
doing
improving
the
ability
to
generate
yield
into
centralized
Finance
so,
rather
than
just
having
a
smart
contract
that
executes
trade
on
your
behalf.
If
you
could
have
bakayal,
which
consumes
large
amounts
of
important
information,
clean
information
from
ipfs
and
filecoin
you,
you
could
run
more
sophisticated
models
of
how
you
want
to
buy
and
sell
exchange,
create
loan
contracts
within
within
D5.
A
So
there's
just
lots
of
interesting
areas
when
you're
starting
to
combine
the
power
of
fem
the
power
of
off
chain
compute,
we're
very
excited
about
it
and
then,
if
anyone
would
like
to
get
in
touch
with
us,
please
reach
out.
We've
got
our
GitHub
information
here.
For
these
various
projects.
Twitter
accounts
I'm
available
in
in
Falcon
stock
at
West,
Floyd
Ali,
you
can
see
here
developer
alley
is,
is
the
Twitter
contact
for
Ali
who's
running
a
lot
of
our
project
day-to-day
basis?
Thank
you
for
the
opportunity
to
present.