WEBVTT

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What are your spiritual views? Um

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I'm Jewish. I And I would say I have
like a fairly traditional view of the

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world that way. So So you're
religious. You believe in

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God? Uh I don't I don't I'm not like a

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literal I don't believe the I'm not like
a literalist on the Bible, but I I'm not

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someone who says like I'm culturally
Jewish. Like if you ask me I would just

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say I'm Jewish. But do you believe in God?
Like do you believe that there is a

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force larger than people that created

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people, created the Earth,
set down a specific order for living

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that there's an absolute morality
attached that comes from that God?

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>> Um I think probably like most other
people I'm somewhat confused on this,

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but I believe there is something
bigger going on than, you know, can be

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explained by physics, yes.
So you think the Earth and the people

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were created by something. It wasn't

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just like a spontaneous accident. Um

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Do I Would I say that? It does not
feel like a spontaneous accident, yeah.

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I don't I I don't think I have the answer.
I don't think I know like

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exactly what happened, but I think there

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is a mystery beyond my comprehension

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here going on. Have you ever felt

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communication from that force
or from any force beyond people

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beyond the material?
>> Not Not No, not really.

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I ask because it seems like the

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technology that you're creating or

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shepherding into existence will have

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more power than people.
On this current trajectory I mean, that

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will happen. Who knows what will actually
happen, but like the graph suggests it.

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And so that would give you, you know,

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more power than any living person. So

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I'm just wondering how you see that.

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Um I used to worry about something like
that much more. I think what will happen

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I used to worry a lot about
the concentration of power in one or a

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handful of people or companies because
of AI. Yeah. Um what it looks like to me

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now, and again, this may evolve again
over time, is that it'll be a huge

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up-leveling of people uh where

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everybody will be a lot more powerful.

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Everybody that embraces the technology
will be a lot more powerful. But that's

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actually okay. That scares me much less
than a small number of people getting a

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ton more power. If if the kind of like
ability of each of us just goes up a lot

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because we're using this technology
and we're able to be more productive and

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more creative or discover new science,
and it's a pretty broadly distributed

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thing like billions of people are using
it. Um that I can wrap my head around.

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That feels okay. So you don't
think this will result in a

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radical concentration of power? It
looks like not, but again, the trajectory

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could shift again and we'd have to adapt.
I I used to be very worried about

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that, and I think the the kind of

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conception a lot of us in the field had

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about how this might go

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could have led to a world like that. But

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what's happening now is tons of people
use ChatGPT and other chatbots, and

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they're all more capable. They're all
kind of doing more. They're all, you

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know, able to achieve more start
new businesses, come up with new

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knowledge.
And that that feels pretty good.

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So if it's nothing more than a machine

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and just the product of its inputs then

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the two obvious questions like what
are the inputs? Like what's the moral

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framework that's been put into the

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technology? Like what is right or wrong

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according to Jet GPT?

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Can I answer that one first? That's
a good question. Um so on that one I

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Someone said something early on in
ChatGPT uh when that really has stuck

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with me which is one person at a launch
table said something like, you know, we're

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trying to train this to be like a human.

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Like we're trying to learn like a human
does and read these books and whatever.

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And then another person said, no, we're
really like training this to be like the

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collective of all of humanity.
We're reading everything, you know, we're

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trying to learn everything. We're
trying to see all these perspectives. And

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and if we do our job right, all of
humanity, good, bad, the, you know, very

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diverse set of perspectives, some things
that we'll feel really good about, some

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things that we'll feel bad about,
that's all in there. Like this is learning

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collective

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experience, knowledge learnings of

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humanity. Now, the base model gets
trained that way, but then we do have to

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align it to behave one way or another
and to say, you know, I will answer this

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question, I won't answer this question.

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Um and we have this thing called
the model spec where we try to say, you

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know, here's here are
the rules we'd like the model

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to follow. It may screw up, but you
you could at least tell if if it's doing

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something you don't like, is that a bug
or is that intended? And we have a

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debate process with the world
to get input on that spec. Um

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We give people a lot of freedom
and customization within that.

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There are, you know, absolute bounds
that we draw. But then there's a default

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of if you don't say anything, how should
the model behave? What should it do?

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What are What are how should
it answer moral questions?

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How should it refuse to do something?

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What should it do? And this is a really
hard problem. Um you know, the

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We have a lot of users now and they come

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from very different life perspectives in

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what they want. Um but

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on the whole uh I have been pleasantly
surprised with the model's ability to

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learn and apply a moral framework.

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But what moral framework? I mean,
the sum total of like world literature,

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philosophy is at war with itself. Like
the Marquis de Sade is, you know, like

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nothing in common with the Gospel of John.
So like how do you decide which is

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superior? That's why we wrote this like
model spec of here's how we're going to

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handle these cases. >> Right,
but what criteria did you use to

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decide what the model is? Oh, um Like
who decided that? Who did you consult?

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Like what's, you know, why is the Gospel

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of John better than the Marquis de Sade?

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Uh we consulted like hundreds of

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moral philosophers, uh people who
thought about like ethics of technology

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and systems, and at the end we had to

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like make some decisions. The reason we

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try to write these down is because A we

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won't get everything right.
Uh B, we need the

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input of the world.
And we have found a lot of cases where

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there was an example of something that
seems that seemed to us like, you know,

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a fairly clear decision of what to allow
or not to allow, where users convinced

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us like, hey, by blocking this thing

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that you think is an easy
decision to make um you are not

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allowing this other thing which
is important and there's like a difficult

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trade-off there. In In general the

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attention that So a principle
that I normally like is

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to treat our adult users like adults.

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Very strong guarantees on privacy,
very strong guarantees on individual user

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freedom, and this is a tool we are
building. You get to use it within very

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broad framework. On the other within
a very very broad framework. On the other

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hand, as this technology becomes more

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and more powerful um

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there are clear examples of where

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society has an interest that is in

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significant tension with user freedom.

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And we could start with an obvious one.

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Like should ChatGPT
teach you how to make a

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bioweapon? Now, you might
say, hey, I'm just really

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interested in biology and I'm
a biologist and I want to you know

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I'm not going to do anything bad with
this. I just want to learn and I could

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go read a bunch of books, but ChatGPT
can teach me faster and I want to learn

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how to, you know I want
to learn about like novel

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virus synthesis or whatever. And

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maybe you do. Maybe you really don't
want to like cause any harm. But

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I don't think it's in society's
interest for ChatGPT to help people build

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bioweapons and so that's a case.

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>> Sure, that's an easy one though.
There are a lot of tougher ones. I did say

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start with an easy one. Well,
every decision is ultimately a

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moral decision and and we make them
without even recognizing them as such.

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And this technology will be
in effect making them for us.

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>> Yeah. And so >> Well,
I don't agree with it'll be making

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them for us, but it will have >> It'll
be influencing the decisions for sure.

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And um because it'll be
embedded in daily life.

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And so who made these decisions? Like
who specifically Who Who are the people

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who decided that one thing is better
than another? Um you mean like What are

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their names? Which kind
of decision? I I The The

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The basic The specs that you Oh, uh that

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you alluded to that create the framework

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that that does attach a moral weight

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to world views and decisions like you

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know, liberal democracy is better than
Nazism or whatever. They seem obvious

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and in my view are obvious but are still
moral decisions. So who who made those

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calls? Um As a matter of principle I don't
like docs our team, but we have a model

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behavior team and the people who want
to Well, just It affects the world.

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>> was going to say is the person I think
you should hold accountable for those

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calls is me. Like I'm the public face
eventually. Like I'm the one that can

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overrule one of these decisions or our
board. Um And it's I'll turn 40 this

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spring. I will make a decision.
It's pretty heavy. I mean, do you think as

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And it's not an attack, but it's I
wonder if you recognize sort of the the

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importance. How do you
think we're doing on it?

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I'm not sure. But I think
I think these decisions will

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have you know, global consequences that
we may not recognize at first. And so I

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just wonder >> There's a lot >> Do
you get in bed at night and think

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like the future of the world
hangs on my judgment?

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>> Look, I don't sleep that well at night.

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There's a lot of stuff that I feel a lot
of weight on, but probably nothing more

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than the fact that every day hundreds
of millions of people talk to our model.

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And I don't actually worry about us
getting the big moral decisions wrong.

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Maybe we look at those wrong, too.
But what I worry what I lose mostly over

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very small decisions we make about a way
a model may behave slightly differently.

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But if talking to hundreds of millions
of people, so then that impact is big.

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So but I mean, all through history like

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recorded history up until like 1945

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people always deferred to what they
conceived of as a higher power in Or

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Hammurabi did this. Every Every moral
code is written with reference to a

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higher power. There's never been anybody
who's like, well, that kind of seems

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better than that. Everybody appeals to a
higher power and you said that you don't

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Mhm. really believe that there's
a higher power communicating with you. So,

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I'm wondering like where did
you get your moral framework?

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Um

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I mean, like everybody else, I think the
environment I was brought up in probably

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is the biggest thing. Like my family,
my community, my school, my religion,

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probably that.

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Um do you ever think which is I mean,
I think that's a very American answer.

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Like everyone kind of feels that way,
but in your specific case since you said

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these decisions rest with you, that means
that the milieu in which you grew

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up and the assumptions that you imbibed
over years are going to be transmitted

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to the globe to billions of people.

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That's like a big thing. >> to be clear.
I view myself more as like a

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I think our the world like
our user base is going to

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approach the collective world as a

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whole. And I think what we should do is

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try to reflect the moral

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I don't want to say average, but the like
collective moral view of that user base.

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I don't there's plenty of things that
ChatGPT allows that I personally would

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disagree with. Um the but I
I don't like obviously I

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don't wake up and say I'm going to like
impute my exact moral view and decide

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that like this is okay and that is not
okay and this is a better view than this

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one. What I think ChatGPT should do is

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reflect that like weighted
average or whatever of

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humanity's moral view, which will evolve
over time. And we are here to like serve

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our users. We're here to serve people.

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This is like you know, this is a techno-
technological tool for people.

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And I don't mean that it's like my role to

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make the moral decisions, but it I think
it is my my my role to make sure that we

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are accurately reflecting

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the preferences of of humanity. Our for
now of our user base and eventually of

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humanity. >> Well, I mean,
humanity's preferences are

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so different from the average middle

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American preference.

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So, would you be comfortable with an AI

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that was like as against gay
marriage as most Africans are?

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Um

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There's a version of that like

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I think individual users should

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be allowed to have a problem
with gay people and if

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that's their considered belief,
uh I don't think the AI should tell them

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that they're wrong or immoral or dumb.
I mean, it can, you know, sort of say,

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"Hey, you want to think about it this
other way." But like you I probably have

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like a bunch of moral views that
the average African would find really

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problematic as well and I think
I should still get to have them.

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Right. >> I think I
probably have more comfort

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than you with like allowing a sort of

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space for people to have pretty
different moral views or at least I

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think in my role as like running ChatGPT
I have to do that. So, what will be the

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downside I mean, I can see the upsides
for sure. Efficiency, medical diagnosis

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seems like it's going to be much more
accurate. Fewer lawyers. Thank you very

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much for that. But what
will what are the downsides

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that you worry about?
I I think this is just like kind of how

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I'm wired. I always worry the most about
the unknown unknowns. If it if it's a if

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it's a downside that we can really like
be confident about and think about, um

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you know, we talked about one earlier,
which is these models are getting very

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good at bio and they could help us
design biological weapons, uh you know,

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engineer like another COVID-style
pandemic. I worry about that, but

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because we worry about it, I think we
and many other people in the industry

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are thinking hard about
how to mitigate that.

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The the unknown unknowns
where okay, there's

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like a there's a societal scale effect
from a lot of people talking to the same

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model at the same time.
This is like a silly example, but it's

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one that struck me recently. Um LLMs

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like ours and our our language model and

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others have a kind of certain style to

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them. You know, they talk in a certain
rhythm and they have a little bit

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unusual diction and maybe they overuse
M dashes and whatever. And I noticed

00:14:08.840 --> 00:14:12.557
recently that real people
have like picked that up.

00:14:12.640 --> 00:14:15.797
And it was an example for me of like,
"Man, you have enough people talking to

00:14:15.880 --> 00:14:19.317
the same language model
and it actually does

00:14:19.400 --> 00:14:24.077
cause a change in societal
scale behavior." Yes. And

00:14:24.160 --> 00:14:27.797
you know, did I think
that ChatGPT was going to

00:14:27.880 --> 00:14:31.837
make people use way more M dashes in real
life? Certainly not. It's not a big

00:14:31.920 --> 00:14:35.757
deal, but it's an example of where there
can be these unknown unknowns of this is

00:14:35.840 --> 00:14:38.477
just like this is a brave new world.

00:14:38.560 --> 00:14:41.997
So, you're saying I think correctly and

00:14:42.080 --> 00:14:47.117
succinctly that technology changes human
behavior, of course, and changes our

00:14:47.200 --> 00:14:50.117
assumptions about the world
and each other and all that.

00:14:50.200 --> 00:14:51.917
And a lot of this you can't predict, but

00:14:52.000 --> 00:14:54.557
considering that we know that,

00:14:54.640 --> 00:14:57.197
why shouldn't the internal moral

00:14:57.280 --> 00:15:00.837
framework of the technology be totally

00:15:00.920 --> 00:15:05.637
transparent? We prefer
this to that. I mean, this is

00:15:05.720 --> 00:15:09.157
obviously a religion. I don't think
you'll agree to call it that. It's very

00:15:09.240 --> 00:15:12.597
clearly a religion to me. That's not
an attack. I would love I don't take that

00:15:12.680 --> 00:15:15.837
as an attack, but I would love
to hear what you mean by that.

00:15:15.920 --> 00:15:19.757
Well, it's it's something
that we assume is more

00:15:19.840 --> 00:15:25.317
powerful than people and to
which we look for guidance. I

00:15:25.400 --> 00:15:29.277
mean, you're already seeing that on
display. What's the right decision? I

00:15:29.360 --> 00:15:33.997
ask that question of whom?
My closest friends, my wife, and God.

00:15:34.080 --> 00:15:37.517
And this is a technology that provides
us more certain answer than any person

00:15:37.600 --> 00:15:39.837
can provide. So, it's a it's a religion.

00:15:39.920 --> 00:15:43.557
And the beauty of religions
is they have a catechism

00:15:43.640 --> 00:15:46.437
that is transparent. I know what
the religion stands for. Here's what it's

00:15:46.520 --> 00:15:50.757
for, here's what it's against.
But in this case, I pressed and I wasn't

00:15:50.840 --> 00:15:53.157
attacking you. Sincerely, I was not
attacking you, but I was trying to get

00:15:53.240 --> 00:15:56.757
to the heart of it. The beauty
of a religion is it it admits

00:15:56.840 --> 00:16:00.397
it's a religion and it
tells you what it stands for.

00:16:00.480 --> 00:16:03.997
The unsettling part of this technology,
not just your company, but others, is

00:16:04.080 --> 00:16:07.157
that I don't know what it stands for,
but it does stand for something.

00:16:07.240 --> 00:16:11.317
And unless it admits that and
tells us what it stands for,

00:16:11.400 --> 00:16:15.717
then it guides us in a kind of stealthy
way toward a conclusion we might not even

00:16:15.800 --> 00:16:17.677
know we're reaching. Do you see what I'm
saying? So, like why not just throw it

00:16:17.760 --> 00:16:21.717
open and say, "ChatGPT is for this
or you know, we're for suicide for the

00:16:21.800 --> 00:16:25.197
terminally ill, but not for kids
or whatever." Like why not just tell us? I

00:16:25.280 --> 00:16:28.317
mean, the reason we write this long
model spec and the reason we keep

00:16:28.400 --> 00:16:32.157
expanding over time is so that you
can see here is how the here is how we

00:16:32.240 --> 00:16:34.277
intend for the model to behave.

00:16:34.360 --> 00:16:37.997
Um what used to happen before we had
this is people would fairly say, "I

00:16:38.080 --> 00:16:40.677
don't know what the model's even trying
to do and I don't know if this is a bug

00:16:40.760 --> 00:16:45.477
or the intended behavior. Tell me what
this long long document of you know,

00:16:45.560 --> 00:16:48.077
tell me how you're going to like when
you're going to say do this and when

00:16:48.160 --> 00:16:50.637
you're going to show me this and when
you're going to say you won't do that."

00:16:50.720 --> 00:16:54.637
The reason we try to write this all
out is I think people do need to know.

00:16:54.720 --> 00:16:59.117
And so, is there a place you can go
to find out a hard answer to what your

00:16:59.200 --> 00:17:03.477
preferences as a company are?
Preferences that are being transmitted

00:17:03.560 --> 00:17:07.757
in a not entirely straightforward way
to the globe. Like where can you find out

00:17:07.840 --> 00:17:11.837
what the company stands for, what it
prefers? I mean, our model spec is the

00:17:11.920 --> 00:17:15.237
like answer to that.
Now, I think we will have to

00:17:15.320 --> 00:17:19.157
make it increasingly more detailed over
time as people use this in different

00:17:19.240 --> 00:17:24.357
countries, there's different laws,
whatever else. Like it will not be a

00:17:24.440 --> 00:17:27.997
it will not work the same way
for every user everywhere, but

00:17:28.080 --> 00:17:30.957
in that doc so that I I expect
that document to get very long and very

00:17:31.040 --> 00:17:34.840
complicated, but that's why we have it.

00:17:36.880 --> 00:17:38.317
Thanks for watching our YouTube channel.

00:17:38.400 --> 00:17:41.757
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