►
A
All
right
cool
we're
streaming,
so
this
is
me,
I'm
actually
streaming
one
camera
to
the
other
computer
so
because
yeah
this
is
actually
better
than
the
usb
camera.
I
have
believe
it
or
not.
Quality-Wise
all
right
so
deal
here
is
that
we
have
a
problem
as
usual,
so
I
need
to
figure
out
how
to
make
this
a
second
display.
A
That
is
virtual
duplicate
or
extend
to
connect
your
space
change.
The
resolution
windows
there's
some
way
to
do
this.
I
can't
remember
what
it
is,
so
we're
probably
gonna
have
to
google
it,
but
windows
has
a
way
to
add
like
an
extra
vga,
adapter
or
something
older
displays,
select,
detect
to
connect
them
now
to
a
wireless
display,
no
graphics
settings.
A
A
Okay,
you
know,
I
don't
think
we
really
need
to
deal
with
this
right
now.
I
will
make
the
usb
some
other
day,
because
this
is
just
getting
a
little
ridiculous.
All
right.
This
should
be
our
video,
oh,
but
yeah.
You
can't
see.
Can
you
see
me?
Oh
yeah,
you
can
okay
well
great.
Okay,
then
we
don't
have
to
do
that
anyways.
A
So
try
to
take
the
part
of
the
green
color
out
of
the
overlay
here
and
see
if
I
can
be
transparent,
so
always
trying
to
be
a
transparent
zone.
That's
why
we're
doing
these
videos.
So
in
the
spirit
of
transparency,
let's
get
to
it,
I
want
to
document
the
whole
process.
So,
okay,
where'd
we
live
off.
Okay,
I
think
I
kind
of
got.
I
got
down
a
rat
hole.
I
got
that
a
rat
hole.
I
cut
off
video.
A
I
made
another
video
got
down
another
rad
hall:
okay,
we're
back
we're
just
gonna,
get
down
to
business.
Okay,
so
first
thing
is
the
introduction,
this
maps
to
the
titling
of
the
past
video
and
this
video.
So
we're
gonna
start
with
we're.
Gonna
do
a
set
of
volumes
for
this
series
and
it's
a
big
project
we
got
planned
here.
So
we're
gonna
see
a
set
of
volumes
for
this
series
volume.
A
Zero
will
sort
of
set
the
stage
for
us
give
us
our
kind
of
operating
parameters
is
where
we're
going
to
do
our
planning
essentially
and
then
volume
one
will
be
alice's
alice's
adventures
in
wonderland,
where
we're
we're
actually
going
to
rewrite
wonderland
and
we're
going
to
then
change
it
into
something.
That's
you
know
applicable
to
our
case,
which
is
you
know,
architecting
this
software
architect
of
alice
right
and
how
we're
going
to
build
her
and
all
the
stuff
that's
going
to
go
into
it.
A
So,
okay
and
then
obviously
the
tutorial
series
is
to
teach
how
to
do
the
same
thing.
So
these
are
engineering
logs
on
how
we're
going
about
the
process
of
building
the
tutorial
series.
So
we've
got
a
few
people
involved
already,
who
you
know
we're
gonna
loop
into
different
parts
of
this,
and
then
you
know
us
in
the
community
who
are
active
and
and
watch
the
videos
on
youtube,
and
you
know
we
show
up
in
the
weekly
sinks.
You
know
we're.
A
We've
been
doing
a
lot
of
machine
learning
stuff,
that's
been
building
up
to
this
right,
and
so
basically,
I
think
I
think
we've
got.
We've
got
the
thing:
that's
gonna!
Let
us
tie
together
the
operations
and
the
cli
and
the
ml,
and
the
data
flows
I
think
it
came
together
is,
is
the
long
short
of
it
now
we're
gonna
go
into
the
long
long
of
it
so
yeah
it
all
came
together.
A
That's
gonna
take
messages
from
that
are
we
can
interpret
as
being
from
like
the
what
web
three
space
and
we're
gonna
go
and,
let's
see,
can
you
see
me
better
over
here?
Okay,
maybe
I
took
too
much
green
out
of
the
background,
so
we're
gonna
basically
grab
that
did
spec.
That's
what
we're
gonna
be
doing
today,
we're
gonna,
try
to
understand
that
we're
gonna,
try
and
understand
how
that
relates
to
the
web
relay
notes
and
we're
going
to
try
to
understand
where
personal
data
stores
are
at.
A
A
So
that's
when
we'll
want
to
look
at
that's
going
to
be
when
we
want
to
look
more
personal
data
stores,
I
believe
so,
but
in
the
meantime
and
and
tonight's
activity,
the
the
main
event
is
is
is
what
the
hell's
going
on
with
these
tid
specs
and
the
a
few
of
you
who
have
heard
me
lately.
I've
basically
been
champion
this
thing
that
I
know
very
little
about
here.
So
I
read
a
little
bit
of
the
spec
and
it
seems
perfect,
based
on
what
I
skimmed
but
granted.
I
spent
about
two
minutes.
A
Reading
this
thing
most
of
it
was
looking
at
a
flowchart,
so
I'm
really
hoping
that
that
was
correct
assumptions
and
what
I
think
is
the
assumptions
I
gleaned
from
from
skimming
it
or
basically
that
is
we're.
Gonna
build
a
giant
linked
list.
So,
and
you
know
some
of
this
metadata
is
or
basically
you
some
of
this
stuff
goes
on
chain
and
that's
like
I'm
putting
something
in
the
blockchain
now
you
know
we
don't
really
want
to
put
a
lot
of
stuff
in
the
blockchain.
A
A
Basically,
what
we
can
do
is
we
can
encode
a
manifest
and
a
manifest
is
basically
so
you
got
to
go
check
the
thread
that
one
that
one
requires
full
explanation.
There's
full
write
up
with
the
demo
in
an
example.
So
this
can
be.
This
is
gonna,
be
a
critical
first
part
here.
Essentially,
it's
we're
gonna
write.
These
json
schemas
paired
with
adrs
and
they're
gonna,
be
used
to
validate
they're,
going
to
be
used
to
validate
the
effectively
the
schema.
A
Awk
flow,
I
gotta
go,
get
my
t-shirt,
and
so
you
know
basically,
let's
just
not
assume
that
something
gets
done.
You
know
if
it
just
because
the
job
got
accepted
is
what
I'm
trying
to
say.
So
you
know
basically
here's
the
job
and
then
you
know,
sometime
later,
I'm
finished
with
the
job
and
then
are
you
finished
with
the
job,
something
like
that,
but
that'll
all
be
facilitated
by
adding
more
links
to
the
chain.
So
so,
basically
what
we've
got
is
we've
got
these.
A
You
know
these
directed
acyclic
graphs,
which
form
our
data
flows
right
and
when
one
of
the
changes
that
we're
going
to
make
is
to
instantiate
the
the
operations
via
passing
them
in
as
inputs
to
an
operation,
and
that
way
we
are
able
to
support
this
shared
config
stuff,
because
we
can
pass
by
reference
to
the
instantiated
objects.
In
a
particular
sequence.
A
We
can
support
the
sort
of
secret
unlocking
from
various
sources,
because
we
can
chain
together
arbitrarily
complex
sequences
of
operations,
to
do
that
and
yeah.
It
does.
Oh.
That
was
another
big
thing
yeah,
but
that
wasn't
an
issue
particularly
so
when
we
do
this,
basically
we're
gonna
have
this
idea
of
cached
cache
data
flows
right,
and
so
this
is
like.
I'm
gonna
save
a
data
flow,
I'm
gonna
load
a
dataflow.
We've
been
talking
about
this
forever
right.
A
A
I
mean
we've
been
playing
with
this
for
years
like,
and
so
I
I
believe
the
trick
is
in
sort
of
you
know,
and
we've
talked
about
unification
of
the
of
the
command
line,
interfaces
and
the
operations
and
the
classes
themselves
and
the
data
flows,
and
then
the
python
type
system
right,
like
all
this
stuff,
has
to
come
together
or
else
it's
just.
We've
got
this
kind
of
clunky
mess
right
now
right.
We
know
there's
something
going
on,
but
it's
a
little
bit
of
a
mess
right.
Apis
aren't
consistent.
A
A
A
So
so
we,
if
you
think
about
the
overlays
right,
the
overlays,
are
effectively
and
I
think
there's
what
the
one
of
the
one
of
the
examples
covers.
The
overlays,
I
believe
it's,
the
the
the
one
where
we
take
the
automated
classification
data
and
the
should
I
data,
and
then
we
run
them
together
in
the
same
data
flow
via
the
http
service.
Okay.
So
what
does
this
represent?
A
A
All
right,
so,
where
are
we-
and
this
is
why
we're
also
doing
this
videos,
because
I'm
gonna
we're
gonna
we're
gonna,
we're
gonna,
have
alice
we're
gonna
go
through
youtube's
transcription
or
we're
gonna
have
alice.
Do
this
transcription
we'll
turn
this
all
into
notes
and
we're?
Basically,
I
just
want
to
have
data
on
everything
everything
everything
all
the
time
and
that's
that's
part
of
what's
going
to
happen
here.
Okay,
so
we're
talking
about
importing
and
exporting
data
and
that
needing
to
have
the
top
level
contact.
A
All
right
so
you'll
notice
that
this
maps
onto
my
areas
of
focus,
because
you
know
probably
gonna
author-
a
fair
amount
of
this.
This
tutorial
series,
I
would
hope,
other
people,
you
know
want
to
author
it
with
me
here,
but
you
know
this
is
this
is
basically
this
is.
This
is
what
I'm,
seeing
as
the
places
that
are
really
need
to
be
nailed
down
to
build
alice,
and
so
these
are
the
things
that
I
am
therefore
involved
in
and
so
yeah.
That's
why
I
wrote
them
here.
A
If
you,
if
you
see
other
areas
that
are
critical
in
the
building
of
you
should,
you
know,
propose,
add
an
edit
to
this
document,
and
this
will
be
something
that
will
be
available
as
a
pull
request
to
comment
on
and
you
can
say,
hey,
you
know,
we
really
need
to
look
at
this
area
right,
and
so
this
is,
you
know
where,
where
we
can,
where
we
blink
blank
subfield
of
computers
is
where
we
need
to
look
to
understand.
What's
what's
the
state
of
art
happening
in
this
area?
A
How
does
it
apply
to
you
know
what
what
our
ai's
understanding
of
software
engineering
is.
So
please,
you
know
be
on
the
lookout
for
that:
okay,
god,
there's
so
much
stuff,
and
part
of
this
is
about
how
to
organize
it.
So
I'm
just
trying
to
get
everything
out
there,
okay,
so
okay,
so
the
importing
we.
This
is
just
that
frame
of
thought
is
obviously
way
too
far
gone,
we'll
we'll
cover
it
all.
I
think
what
are
we
gonna
get
to?
A
A
I'm
writing
down
all
of
my
thoughts
related
to
this
and
it's
all
here
and
I
am
asking
everybody
to
please
write
down
their
thoughts
as
well,
so
we
can
all
go
build
this
thing,
because
this
is
gonna
be
ridiculous,
so
yeah,
it's
gonna,
be
there's
gonna,
be
a
lot
of
work
involved.
It's
like
a
years
long
effort
across
you
know
n
amount
of
people
who
want
to
be
involved
so
just
putting
it
all
out
there.
A
So
we
can
all
just
like
figure
out
who
needs
to
do
what
right,
I'm
sure,
we're
all
thinking
about
this
stuff,
so
I
figured
it
might
be
nice
to
have
some
place
to
to
think
think
together.
That's
really
what
this
is
about
actually-
and
that's
all
in
here
too,
is-
is
to
to
come
together
to
think
together,
okay,
okay,
so
all
right!
Well,
let's
just
go
look
at
the
web
3
stuff.
I
hope
this
is
running.
A
A
Oh
yeah,
and
so
why
do
we
want
to
do
this?
Well,
basically,
things
are
going
this
way.
I
I
don't
think
anybody
would
argue
that
right,
we
know,
there's
gonna
be
blockchain
web3,
whatever
it's
it's
sort
of
a
given.
We
know
that
there
is
some
sort
of
next
step
in
what's
a
commodity
as
far
as
compute
is
concerned.
Right
so-
and
I
think
you
know
part
of
what's
gonna
happen
here-
is
that
this
commodity
is.
Is
this
this
ai?
A
Data
ai
operation
hybrid-
I
think
I
have
notes
on
it
somewhere,
but
and
these
are
basically
like
clumps
of
models
and
these
clumps
of
models
just
like
that
dna
that
you,
that
sort
of
will
create
for
this,
these
little
alices
that
live
on
chain.
These
are
like
entities
in
a
way
because
it
is
it
functions
like
dna.
So
it's
like
it's
like
software
dna
software
is
dna
because
basically
we
won't
need
to
write
any
code.
A
A
All
of
you
know
every
language
to
to
map
intent
to
code
in
that
language,
and
basically
you
know
alice-
is
going
to
need
to
do
that,
and
so
once
you
have
that
the
question
really
becomes
well
okay.
So
where
do
you
go
from
there
right?
Well,
how
do
you
decide
what
to
do
next?
Well,
how
do
any
of
us
decide
what
to
do
next
and
we're
going
to
follow
this
sort
of
mental
model
of
human
thought
to
figure
out,
you
know
how
should
our?
How
should
our,
how
should
our?
A
So,
basically,
just
you
know
give
me
all
the
metadata
give
me
the
function
prototypes
right
and
if
you've
got
the
function
prototypes
about
everything
you
can
sort
of
just
and
you
understand,
intent,
mapped
to
the
data
involved.
You
can
sort
of
just
start,
you
know
building.
Also
you
can
build
all
sorts
of
stuff
right,
that's
that's
what
we're
gonna
do,
and
so
you
can
then
map
that
to
abstract
concepts.
A
The
views
on
the
data
are
effectively
these
strategic
plans,
which
are
effectively
just
like
output
operations,
which
we're
going
to
overlay
on
top
of
data
flows,
and
this
this
is
coincidentally
and
then
probably
not
so,
coincidentally,
but
exactly
what
we
were
doing
for
this
data
flows
is
class.
Pull
requests
that
that
some
have
noticed
is
stale,
so
we're
going
to
get
back
to
that
right
away,
and
it
also
ties
into
this
concept
of
caching,
where
we're
going
to
god.
Damn
it.
I'm
on
another
rabbit
hole.
A
This
is
why
also
alice
in
wonderland,
okay,
so,
basically
we're
going
to
build
all
these
models.
The
models
are
going
to
help
us
understand
the
data
in
a
language
that
we
understand
right
and
so
therefore,
a
fundamental
piece
of
this
whole
data,
ai
sort
of
compute-
in
that
it's
that's
kind
of
wrapped
up
in
the
manifest
thing
with
the
spec.
A
A
And
that
way
you
can
say
you
know
like
mix
the
concept
of
democracy
and
picasso
or
whatever
right
to
create
like
code.
It
sounds
ridiculous,
but
it's
it's.
I
think
it's
possible,
I
think
it's
100
as
possible,
and
so
because
it's
basically
just
a
it's
everything
is
basically
like
a
encoder
there's.
A
lot
of
it
is
basically
like
an
encoder
decoder.
A
Translate
like
a
language
translation
model,
as
far
as
I
can
see,
but
we're
gonna
find
out,
and
so
essentially
the
point
of
this
is
that,
since
you
can
see
anything
through
anybody's
eyes,
you
can
get
together
as
this
organizationally
formed
groups
of
people
where
all
of
the
agents
sort
of
vote
for
these
strategic
plans
to
be
in
place
across
all
of
the
data
flows.
And
this
is
where
how
you
can
create
this
kind
of
like
system
for
iot
devices
and
all
of
this
stuff
to
where
you
can
go
out
in
the
world.
A
A
A
Okay,
all
right
we're
just
going
to
look
at
the
did
stuff
and
I'm
going
to
write
the
plans
because
there's
just
too
much
it's
just
too
much
to
talk
about
it's
just
it's
too
much,
all
right,
okay.
So
how
is
this
structured?
So,
basically,
this
is
the
mission.
Why,
if
you
can
do
this,
I
can
see
is
somebody
else.
I
can
see
as
a
whole
organization,
and
I
can
understand
what
the
whole
organization
thinks
is:
freedom
and
privacy
preserving
and
then
I
can
basically,
like
you
know
only.
A
You
know
like
I
can
only
shop
at
at
stores,
who
I
know
are
supporting
these
strategic
plans
or
something
you
know
you
can
get
arbitrarily
complex
and
that's.
Why
that's
why?
The
first
thing
that
we're
doing
is
we're
going
to
look
at
this
web
3
stuff,
because
we
want
to
build
from
the
solid
foundation
here
and
if
we
can
just
plot
all
this
data.
A
I
don't
know
what
on
chain
means,
but
on
chain
or
something
like
that,
like
I
don't
know,
maybe
maybe
that's
the
way
we're
supposed
to
do
it,
but
we're
not
going
to
do
that.
I
mean
we're
not
going
to
put
all
the
data
on
there.
That's
what
the
manifesto
for
in
the
little
tiny
you
know,
versions
of
alice
in
these
tiny
dna
strands
so
that
we
can
put
the
smallest
amount
of
information
on
chain
as
possible.
A
A
I've
been
writing
this
for,
like
a
while.
Now
I've
been
writing
okay,
so
this
is
the
most
relevant
comment.
Can
you
see?
Yes,
you
can
great
sorry
about
the
4k,
but
I
I
gotta
I
gotta
have
the
4k
to
figure
this
out.
Okay,
yeah
we're
gonna
have
to
see
a
lot
of
things
at
the
same
time.
Okay,
so
basically
I
think
dwn
was
distributed.
A
A
Just
writing
not
that
much
of
it,
because
it
takes
a
long
time
to
write
so
right,
one
secure,
complete
implementation
and
then
don't
write
a
million
little
examples
and
and
and
then
yeah
you
get
where
we're
at.
So
that's
why,
although
my
sql
source
has
the
tls
on
and
everything
so,
okay,
so
basically
yeah,
we
just
don't
we're
not
gonna,
do
any
examples
that
are
gonna,
be
you
know,
auth
related
and
then
we're
not
gonna
need
to
to
deal
with
that
so
much,
at
least
in
a
complicated
sense.
A
What
does
this
say
so
I
like
to
this
is
just
I'm
just
gonna
give
full
thought
process
for
the
sake
of
the
recording,
so
I
like
to
hit
the
middle
mouse
click
and
and
open
every
link.
I
I
find-
and
this
is
why
there's
so
many
links
on
here-
basically
I'll
skim,
something
and
then
I'll
go
through
and
I'll
go
boom.
I
need
that
boom.
I
need
that
and
boom.
A
I
need
that
and
then
I'll
go
through
here
then
I'll
click
I'll
give
one
each
one
a
quick
control,
tab
kind
of
see
which
ones
I
do
need
and
don't
need
close
the
ones
I
don't
need,
and
then
you
know
I
go
back
to
the
duplicate
right.
Okay,
here
we
are
now
we're
good.
Now
we
know
what
we
need
and
sort
of
like
a
binary
search
for
information
as
soon
as
you
open
all
the
links
right.
A
A
This
looks
like
the
problems
that,
like
gun,
is
trying
to
solve
and
and
things
like
that,
and
we
I
I
may
have
tried
to
rope
a
few
people
into
a
project
called
chill
chat
a
while
ago,
you'll
notice
things
like
like
very,
very
similar,
so
basically
asymmetric,
keys
and,
like
you
know,
sign
this.
I
sign
this.
You
sign
that
you
know
sort
of
like
here's.
My
data
pass
it
along.
A
I
have
to
sign
it
for
everybody,
that's
kind
of
where
it
gets
annoying
and
then
you
have
to
like
you
know,
grant
claims
to
other
people
to
do
things
with
your
data.
What
do
you
trust
them
to
do
once
again
same
thing
as
loops
back
into
the
operations
discussion
and
executing
all
of
this?
So
all
right,
I
should
probably
read
this
so
they
just
talk.
Okay,.
A
And
what
is
this?
Where
are
we?
Is
this
decentralized
web
node?
Okay?
So
this
is
interesting.
Maybe
we
should
read
this
first
because
I
think
this
seems
much
more
helpful,
no
offense
to
anybody
who
wrote
the
did
spec,
but
I
I
didn't
really
understand
what
was
going
on
here
and
this
seems
to
to
give
up
give
more
of
a
concrete
example.
A
So
decentralized
web
note
is
a
draft
specification
under
the
development
of
the
decentralized
identified
identity
foundation,
incorporates
requirements
and
learners
from
related
work
and
many
active
industry
players
into
a
shared
specification
that
meets
the
collective
needs
of
the
community.
The
specification
will
be
updated
to
incorporate
feedback
from
idf
members
they're,
not
id.
I
d,
I
f
members
and
wider
community
with
a
reference
implementation
being
developed
within
dif
that
okay,
perfect
reference
implementation.
I
love
to
hear
that
at
that
point
you
can
basically
you're.
A
A
That's
how
found
out
about
this
stuff
as
long
as
well
as
I
saw
kelsey
start
taking
it
more
seriously,
and
I
saw
angie
jones
start
taking
it
more
seriously
and
then
I
started.
Then
I
saw
this
guy
daniel
and
I
saw
what
is
her
name
lincoln.
Brooklyn
said
linka
and
she's
very
smart.
I
could
tell
she
seemed
very
smart,
so
I
was
like
these
are
some
people.
I
should
go,
listen
to
and
sure
enough.
They
were
right
and
so
they're
leading
some
really
cool
stuff
here
and
okay.
A
A
A
A
A
Like
that's
the
that's
why
I'm
also
interested
in
the
web
note
is
because
I
found
this
thing
that
like
implies
that
you
can
sort
of
claim
a
name
namespace
in
a
distributed
fashion
by
putting
it
under
a
dot,
well-known
directory,
which
is
apparently
some
spec,
that's
been
around
from
like
the
90s
or
something
I
don't
know
it's
been
around
for
a
while,
but
I
was
surprised
I
was
surprised.
Nobody
has.
I'm
surprised.
I
haven't
heard
more
people
using
this.
A
A
A
A
A
A
A
A
A
What's
a
d
id
question
mark
and
then
we
can
figure
out
the
the
goal,
and
then
this
is
part
of
why
we're
doing
this
series
of
videos,
because
when
we
say
hello
moth,
when
we
say
what's
a
d
id,
it
would
be
nice
if
alice
could
just
chime
in
on
the
side
and
say:
oh
by
the
way
you
know.
Oh,
this
is
what
we're
we're
figuring
out,
but
this
is
what
a
cid
is
right.
That
would
be
great.
A
A
A
A
A
A
I'm
guessing
that
the
cid
is
the
so
this
is
probably
where
in
ipfs
the
did
lives.
So
this
is
probably
like
I
was
saying.
Is
it
yeah?
I
think
this
is
prop
data,
I'm
not
even
reading
this.
Okay
read
it.
If
I
could
just
read
one
line
at
a
time,
I
might
figure
out
what
things
mean.
Okay,
let
ipfs
equals
optional.
A
A
Or
is
this
not?
Where
is
this
no,
this
interface
where's
the
where's
the
entry
point
for
this.
That's
what
we
should
be
asking.
This
was
a
bad
idea
of
me.
I
should
have
asked
that
this.
This
would
be
the
correct
thing
to
do
would
say:
where
is
the
entry
point
for
this
who's?
This
I've
seen
him
around
yeah.
A
A
Why
would
you
take
us
to
a
reduction
one
time
watch
this
look
at
this.
Look
at
this
look.
What
happens,
look
what
happens
just
just
just
imagine
imagine
imagine
you
really
really
really
really
want
to
know
more
about
this
file
format.
This
is
you're
desperate
to
know
you
type
in
e.
L
f,
really
excited
to
see
a
nice
design
created
of
the
whole
layout.
A
A
A
A
A
A
A
A
Yeah,
yes,
this
is
basically
this
is
effectively
show
me
the
notes,
so
there's
a
demo
in
there.
That's
basically
like
hey
rewrite
these
notes.
Basically,
the
the
goal
is
take,
take
stream
of
audio
with
unrelated
topics
and
create
cohesive
thoughts
out
of
them.
It's
the
task,
so
obviously
we're
going
to
need
to
build
an
ai
to
figure
this
one
out.
A
A
And
I
mean
you
can
basically
take
that
and
scale
that
up
to
every
single
thing
that
you
see
on
the
internet
right
make
sense
of
it
all
so
or
in
this
did
web
okay.
So
basically
what
they
have
is
they
have
something
kind
of
like
our
console
test
situation,
where
they've
got
their
test
cases
and
their
docs
and
they're
linked,
and
so,
when
you
do
spec
up
no
watch
true.
So
there's
no
watch.