Ilya Sutskever – We're moving from the age of scaling to the age of research - part 17/17
2025-11-25_17-29 • 1h 36m 3s
Dwarkesh Patel (Host)
00:00.100
Yeah.
Um,
final
question.
What
is
research
taste?
You're
obviously
the
person
in
the
world
who
is
considered
to
have
the
best
taste
in
doing
research
in
AI.
You
were
uh
the
co-author
on
many
of
the
biggest
the
biggest
things
that
have
happened
in
the
history
of
deep
learning.
Dwarkesh Patel (Host)
00:23.540
learning
from
Alex
Net
to
GPT-3
to
so
on.
What
is
it
that
how
do
you
characterize
how
you
come
up
with
these
ideas?
Ilya Sutskever (Co-founder and Chief Scientist)
00:32.100
I
can
answer
so
I
can
comment
on
this
for
myself.
I
think
different
people
do
it
differently.
But
one
thing
that
um
guides
me
personally
is
an
aesthetic
of
how
AI
should
be
by
thinking
about
how
people
are.
But
thinking
correctly.
Like,
it's
very
easy
to
think
about
how
people
Ilya Sutskever (Co-founder and Chief Scientist)
00:56.140
are
incorrectly.
But
what
does
it
mean
to
think
about
people
correctly?
So
I'll
give
you
some
examples.
The
idea
of
the
artificial
neuron
is
directly
inspired
by
the
brain.
And
it's
a
great
idea.
Why?
Because
you
say,
"Sure,
the
brain
has
all
these
different
organs,
it
has
the
Ilya Sutskever (Co-founder and Chief Scientist)
01:12.880
folds,
but
the
folds
probably
don't
matter."
Why
do
we
think
that
the
neurons
matter?
Because
there
is
many
of
them.
Kind
of
feels
right,
so
you
want
the
neuron.
Yeah.
Dwarkesh Patel (Host)
01:22.280
You
Ilya Sutskever (Co-founder and Chief Scientist)
01:22.360
want
some
kind
of
local
learning
rule
that
will
change
the
connections.
You
want
some
local
learning
rule
rule
that
will
change
the
connections
between
the
neurons.
Right?
It
feels
plausible
that
the
brain
does
it.
The
idea
of
the
distributed
representation.
The
idea
that
the
Ilya Sutskever (Co-founder and Chief Scientist)
01:37.320
brain,
you
know,
the
brain
responds
to
experience
and
neural
net
should
learn
from
experience,
not
response.
The
brain
learns
from
experience,
then
neural
network
experience.
And
you
kind
of
ask
yourself,
is
some
is
something
fundamental
or
not
fundamental?
How
things
should
be?
Dwarkesh Patel (Host)
01:52.600
Yeah.
And
Ilya Sutskever (Co-founder and Chief Scientist)
01:53.640
I
think
that's
been
guiding
me
a
fair
bit,
kind
of
thinking
from
multiple
angles
and
looking
for
almost
beauty,
beauty,
simplicity,
ugliness,
there's
no
room
for
ugliness.
It's
just
beauty,
simplicity,
elegance,
correct
inspiration
from
the
brain
and
all
of
those
things
need
to
Ilya Sutskever (Co-founder and Chief Scientist)
02:10.200
be
present
at
the
same
time
and
the
more
they
are
present,
the
more
confident
you
can
be
in
a
top
down
belief.
And
then
a
top
down
belief
is
the
thing
that
sustains
you
when
the
experiments
contradict
you.
Because
if
you
just
trust
the
data
all
the
time,
well
sometimes
you
can
Ilya Sutskever (Co-founder and Chief Scientist)
02:26.280
be
doing
a
correct
thing
but
there's
a
bug.
But
you
don't
know
that
there
is
a
bug.
How
can
you
tell
that
there
is
a
bug?
How
do
you
know
if
you
should
keep
debuging
or
you
conclude
it's
the
wrong
direction?
Well,
it's
the
top
down.
Well,
how
should
you
can
say
the
things
have
Ilya Sutskever (Co-founder and Chief Scientist)
02:38.680
to
be
this
way.
Something
like
this
has
to
work.
Therefore,
we
got
to
keep
going.
That's
the
top
down.
And
it's
based
on
this
like
multifaceted
beauty
and
inspiration
by
the
brain.
Dwarkesh Patel (Host)
02:50.560
All
right.
We'll
leave
it
there.
Ilya Sutskever (Co-founder and Chief Scientist)
02:52.560
Thank
you
so
much.
Thank
Dwarkesh Patel (Host)
02:53.520
you
so
much.
Ilya Sutskever (Co-founder and Chief Scientist)
02:55.800
All
right.
Appreciate
it.
Dwarkesh Patel (Host)
02:56.800
That
was
great.
Yeah.
Ilya Sutskever (Co-founder and Chief Scientist)
02:58.040
I
Ilya Sutskever (Co-founder and Chief Scientist)
02:58.080
enjoyed
it.
Dwarkesh Patel (Host)
02:58.720
Yes,
me
too.
Hey
Dwarkesh Patel (Host)
03:00.160
everybody.
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Dwarkesh Patel (Host)
03:14.280
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