EP20: Yann LeCun - part 7/11
December 15, 2025 • 1h 50m 6s
Yann LeCun (Chief AI Scientist)
00:00.120
of
the
wall
of
the
american
tech
culture
well
inevitably
yeah
i
mean
you
you
can't
completely
escape
your
your
upbringing
and
your
culture
so
i
mean
i
feel
both
french
and
american
in
the
sense
that
you
know
i
mean
in
the
US
for
thirty
seven
years
and
in
north
america
for
thirty
Yann LeCun (Chief AI Scientist)
00:22.670
eight
because
i
was
in
canada
before
or
children
grew
up
in
the
US
and
so
from
that
point
of
view
i'm
american
but
i
have
a
view
certainly
on
you
know
on
various
aspects
of
science
and
society
that
probably
are
you
know
a
consequence
of
growing
up
in
france
yeah
absolutely
and
Yann LeCun (Chief AI Scientist)
00:43.390
if
you're
french
i
mean
france
i'm
curious
i
did
not
actually
realize
that
you
had
a
brother
that
also
worked
in
tech
i'm
fast
fascinated
by
this
because
yahshua
bengio
's
brother
also
works
in
tech
and
i
always
thought
that
he
was
the
only
serena
venus
williams
situation
in
AI
Yann LeCun (Chief AI Scientist)
01:02.030
but
you
you
too
also
have
a
brother
so
how
many
more
AI
research
like
like
is
it
that
common
that
it
just
runs
in
families
i
have
no
idea
that's
what
i
have
a
sister
who
you
know
is
not
in
tech
but
she's
also
a
professor
my
brother
was
a
professor
before
he
moved
to
google
he
he
Yann LeCun (Chief AI Scientist)
01:22.750
doesn't
work
on
AI
machine
learning
he's
very
careful
not
to
he's
a
younger
brother
six
years
younger
than
me
and
he
works
on
operations
research
and
optimization
essentially
which
now
is
actually
also
being
invaded
by
machine
learning
yeah
OK
one
more
question
so
like
if
the
Yann LeCun (Chief AI Scientist)
01:48.720
world
models
work
in
twenty
years
from
now
what
is
the
what
is
the
dream
like
how
what
how
does
it
look
like
how
does
i
know
like
our
lives
will
be
total
world
domination
OK
it's
a
joke
the
the
i
i
said
this
status
because
this
is
what
linda
starvalds
used
to
say
you
say
like
Yann LeCun (Chief AI Scientist)
02:20.280
what's
your
goal
with
linux
and
you
say
total
i
thought
it
was
super
funny
and
it
actually
succeeded
i
mean
basically
you
know
to
first
approximation
every
computer
in
the
world
runs
linux
there's
only
a
few
desktops
that
don't
and
a
few
iphones
but
you
know
everything
else
with
Yann LeCun (Chief AI Scientist)
02:36.920
linux
so
really
like
you
know
having
you
know
pushing
towards
like
a
recipe
for
training
and
building
intelligence
systems
perhaps
all
the
way
to
human
intelligence
or
more
and
and
basically
building
AI
systems
that
would
you
know
help
people
and
humanity
more
generally
in
their
Yann LeCun (Chief AI Scientist)
02:59.720
daily
lives
at
all
times
amplifying
human
intelligence
will
be
their
boss
right
it's
not
like
those
things
are
going
to
dominate
us
because
again
it's
not
because
something
is
intelligent
that
it
wants
to
dominate
those
are
two
different
things
in
humanity
you
know
we
are
Yann LeCun (Chief AI Scientist)
03:16.190
hardwired
having
to
influence
other
people
and
sometimes
it's
through
domination
sometimes
it's
through
? (?)
03:23.060
prestige
but
the
hardwired
evolution
to
do
this
because
we
are
a
social
species
there's
Yann LeCun (Chief AI Scientist)
03:31.910
no
reason
we
would
build
those
kind
of
drive
into
into
our
intelligent
systems
and
it's
not
like
they're
going
to
develop
those
kinds
of
drives
by
themselves
so
so
yeah
i'm
quite
optimistic
me
too
so
am
i
all
right
OK
so
we
have
final
questions
from
the
audience
and
so
yeah
Yann LeCun (Chief AI Scientist)
03:54.920
let's
start
and
if
you
were
starting
your
AI
career
today
what
skills
and
research
directions
would
you
focus
on
i
get
a
lot
this
question
a
lot
from
young
students
or
parents
of
future
students
i
mean
i
think
you
should
learn
things
that
have
a
long
shelf
life
and
you
should
Yann LeCun (Chief AI Scientist)
04:14.200
learn
things
that
help
you
learn
to
learn
because
technology
is
you
know
evolving
so
quickly
that
you
all
kind
of
you
know
the
ability
to
learn
really
? (?)
04:28.190
quickly
and
basically
that
can
that
is
done
by
you
know
learning
very
busy
so
in
the
context
of
stem
right
science
and
technology
engineering
mathematics
and
i'm
talking
about
humanities
here
this
is
although
you
should
learn
philosophy
this
is
done
by
learning
things
i
have
a
? (?)
04:51.630
long
shared
life
so
the
joke
i
say
is
that
if
you
first
of
all
you
the
things
i
have
a
long
shelf
life
tend
to
not
be
computer
science
OK
so
here's
a
computer
science
professor
you
know
are
you
against
studying
computer
science
don't
count
don't
count
to
study
and
have
a
? (?)
05:11.840
terrible
coefficient
to
make
which
is
i
studied
electrical
engineering
as
an
undergrad
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