WEBVTT

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You do all your prompting on Ultrafast?

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>> I do. >> That's sick. >> Yeah.

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>> That's crazy. >> You know,
seven people's thoughts can

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working together create something new
that kind of existed in all of our heads

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to some degree,
but was like an emergent thing.

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>> [music]

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>> Hey, this is Dan Shipper. You might
be wondering what happened to AI and I.

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This is the same show. We are just
rebranding it to the Every Podcast. I'm

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really excited for our first
episode with Sam Altman.

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Here it is. >> Sam, welcome to the show.

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>> Thanks for having me. >> Psyched
to have you here. So, we're here

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at DevDay. I think if you had told me 4
years ago that the coding models were at

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this level of capability, I would have
been like, "Wow, I don't know if there

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would be a lot of developers at DevDay."

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But, there's more developers than ever,
it seems like, and more work to do than

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ever. So, what has the like riding the
increasing capabilities of coding models

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and seeing the impact on engineering
taught you about the future of

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engineering and uh more broadly
like the future of work with AI?

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>> I think people just want so much
more stuff. People's expectations are so

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high. Uh and I think that's a wonderful
thing. I think this is why we'll all

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have this incredible future in front
of us to explore. But, developers they've

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never been able to do more, but there's
never been a higher bar either. And I

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think that's great. I think that's
like a nice thing about society.

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>> Is that something that surprised you?

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Did you expect that to happen?

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>> I think I was never like
as doomy about the job stuff as other

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people, but it still has surprised me

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somewhat on the upside of just how much

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latent demand existed in the world.
And how And also how much like

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people have remained the center
of everything that is happening with AI.

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>> Do you think there's a a limit to that,
or do you think that translates pretty

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cleanly to other areas of work?

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>> I think there will be some areas
of work where there's actually not much

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creativity required, and we don't care

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about the person doing it. And many of

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those tasks or jobs will be done by AI.

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But I think there's so much other stuff
people want in the world. There's going

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to be no shortage of new things to go
to go do. I think that's been one of the

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lessons of recent time.
>> Why do you think it's so human-centered

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even though we talk
a lot about automation?

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>> I mean, what one observation is we just
we don't care that much about what the

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machines do.
And in some sense we never have.

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And we're just like we're obsessed with
other people. We want to know about the

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person behind the art or the person
behind the company or the idea or the

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product. And I think this is like
a wonderful positive surprise.

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That we probably should
have all known before.

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>> I agree. It's I've been thinking like
if an agent solves an obvious Stokes in a

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data center but no one finds out,
did it really solve it, you know?

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>> [laughter] >> I think
that was like a great example

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where, you know, 10,000 agents worked
super hard for 4 days in perfect

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coordination with each other and did
this amazing thing. And almost none of

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the public reaction was about that
actually, the problem being solved.

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A lot of talk about the interpretation.

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A lot of talk about like the people
involved in it in different ways. But,

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you know, that was like
a that was a good thing.

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>> Yeah. So, it's DevDay.
You launched by my

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count 22 new things today,

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uh which I've been at all four DevDays.

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And uh I think last year was like nine
and the the year before that was like

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four or five. So,
it's a lot more than usual.

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>> Just wait for next year. >> Okay.
[laughter] I'm tired. I'm tired.

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>> Um we cut a bunch
of things that we were

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going to launch today just cuz you have

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to like fit it in 50 minutes. Uh but

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you know, like we try to practice what
we preach. And if we are saying these

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tools can make people much more
productive and build more and that

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people want more stuff, like

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we better build more ourselves.

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>> What are the new
kind of bottlenecks and

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best practices for doing that? Cuz I
I can see for myself and and I assume

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you guys are seeing this too. Like now
that you can build everything, you're

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like what what should we build and and
how do we make it all coherent? How do

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you think about that? >> Moving to

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this world of sort of persistent
intelligence, active intelligence,

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whatever people want to call it.
This idea that you're going to have these

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agents that are running in the
background 24/7, connected to

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your systems, doing stuff proactively
for you. This is clearly a direction

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that feels important to explore. I think
we're going to see amazing stuff happen

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there. Another thing we really wanted to

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do is there's just there are now so many

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ideas that are capable of being built.

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And what we are missing
is the creative spirit

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to figure them out and build them.

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So we wanted to really open up
our ecosystem, let people build apps in

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ChatGPT and like the same way that we
get to do them, let people bring their

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subscription wherever they'd like, have
the marketplace, and and really try to

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let people get connected to all the stuff
that people will now be able to build.

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>> Yeah, I mean I I
just looking at all the

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platform features that you launched
and the way that you talk about platforms,

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it reminds me a lot of the way that Bill
Gates used to talk about Windows as a

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platform where you create more value
than you capture. What have you learned,

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you know, you said this in your keynote
and I've observed it as well. There's at

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the end of the day there's always a an app
store. You you've been taking swings

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at app stores for a while. What have
you learned about building a platform and

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what do you think makes
this one different?

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>> I I mean that we we clearly have not
yet figured out the app store equivalent,

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but we have figured out how to build
a platform that a lot of people are

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building incredible value on top of. I I

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think there are really kind of two

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schools of thought among people
building AI model companies. There are

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people that believe or hope
that there's only going to be

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one company in the world. And then there
are people like us that believe we are

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going to see a renaissance in the number

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of companies and just an absolute

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lowering of the bar to

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people, one-person companies, small-team
companies creating incredible new

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products and services. And we want to go
as hard as we can with the platform to

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enable people to do that. And although
I think we haven't figured out the App

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Store yet, that's totally fair. I think
we have figured out how to help like

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millions of people build and create

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significant new products and companies.

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>> If you had to narrow in you said
you talked at the keynote about an

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industrial revolution versus renaissance
which you just which you just mentioned

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now. If you had to narrow in on the key

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things that make the difference between

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those two worlds and maybe OpenAI's
part in it, but maybe even the broader

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ecosystem, what do you
think those things are?

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>> One take on this would be that the
renaissance was fundamentally centered

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around people and the industrial
revolution was fundamentally

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centered around machines.
There were a lot of good things about

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the industrial revolution. It had a you
know, hugely positive impact on the

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world in in many ways.
But I think a lot of people did not have a

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purely positive personal impact from

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that. And this feeling that um

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people had these like rich lives and did
all these things. And yeah, of course

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they like struggled and wanted more
and better stuff. And that's the part the

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industrial revolution did deliver
in some ways. But they were kind of turned

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into in many cases this like cog in a
machine doing some extremely specialized

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thing and kind of like disconnected from
a lot of the parts that made life good.

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I get sad to hear people talk about like
oh, AI is going to automate everything.

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There's going to be no role for humans.

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We're going to be like house cats and

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the AI will decide how to reward
us and tell us what to do. And um

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I have heard people say that.
>> [laughter]

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>> Um that's certainly not what we think.

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Um what I am hopeful for is that this is

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just a huge new wave of scientific

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discovery, art, company formation, like

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everybody that wants to start a new

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thing. Um and that people do get the

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benefits of all of the economic growth
and the new stuff happening here.

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But also people get to back
in control their lives and ability

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to kind of do the things they want
and spend their time the way they want.

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>> One of the things that strikes me about
the Renaissance versus the Industrial

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Revolution is in the Renaissance
you have a sort of

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different understanding of what it means
to be a person and like an individual

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uh, as opposed >> Yeah.
>> as opposed to sort of the cog in the

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machine. Do you feel like you're

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starting to see any difference in how we

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think of ourselves as human that's
comparable to the way that we changed

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how we think of ourselves
during the Renaissance?

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>> I mean so much happened during
the Renaissance. It's hard to say there's

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like this one thing. But but but
definitely a big part of it was about

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people like sort of reconnecting
to a lot of things that had

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in the in the distant past.
And you do hear and then and then also

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like this kind of combination of that
with this crazy futurism and discovery

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of science and engineering and just
sort of this this feeling that the human

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potential had massively expanded.
And you do hear people talk about both of

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those things simultaneously with AI,
which is kind of how I got interested in

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this as an analogy in the first place.
I mean this is like a very trivial example

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relative to what is going to be
possible or already is possible.

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But the Dots, the new thing we launched

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today, is the first thing that has given
me back control of my mornings and like

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my mental space in the mornings. I used
to love the early mornings. It was my

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favorite time of the day to work. It's
like maximum creativity. That's when I

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would like do the really deep
complicated project of the day.

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And then now I like run this like big
company and something is going wrong all

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the time and overnight a lot of stuff
happens. And if I don't check my phone

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right away then you know,
sometimes it was fine and

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sometimes there was like a real disaster
that if I ignored for an hour just got

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much worse. The problem had been that as I
checked my phone, I polluted my brain

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with all these other things and I lost

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the deep work period. But now I trust my

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dot to go have good
judgment about what I need to

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think about and I'll think about if
there's something very urgent, otherwise

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handle things for me. And I get this
space for kind of like creativity or to

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just hang out with my kids uh back and
that has been like, you know, it sounds

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small but like a significant
improvement to my life.

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>> That's what I was going to ask is so it
look it seems like it's deflecting a lot

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of things that you might have had
to deal with immediately that you can just

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like leave for later cuz you're
confident you get the thing you need

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when when you check it in the morning.

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>> Yeah. I mean two two things
that happened to today about that. Um

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during the keynote we had like a big
seven production. This is the risk of live

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demos and trying to deploy
many new features at once.

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>> I was like curling.
I was >> Um >> [laughter]

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>> so so that happened. Uh

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Thibault got a message from his dot 5

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minutes before the demo saying,
"Just to let you know, um

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there's I see that you're in the dev day.
You know, I know you were working

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on it. I know what the demo is cuz I
was able to like look at the presentation

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um in space or whatever and there, you
know, this sub is probably going to make

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the demo not work. Would you like me
to try to fix it? There's like a few

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minutes to go." And now it couldn't fix

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it yet but like maybe the next version
will be able to go fix that in prod. And

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like think about that whole like
all the stuff that had to come

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together to make that work. Um just
right now before I came here, I've been

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like back-to-back stuff all day.

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Very very behind on all
of my normal stuff.

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Um my dot just before I
had walked into the last

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thing said, "You have one little break
between now and this thing you're going

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to go to with Dan. You have to pay
attention to this one thing." I never

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would have found that otherwise and like
it would have been a big mess. And just

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the fact that I like don't have to worry
about that feels feels super different.

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>> What's your dot's name? >> Dotty.

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>> Dotty. >> I tried I
had it Alfred earlier.

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And then like many people are calling
it Dotty for now but I'm trying to like

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think of a great name. >> yeah.

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>> Mine's name is Boo.
>> That's a good one.

00:11:35.760 --> 00:11:37.717
>> a good one. Um >> What do
you think so far? I know it's

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like super early and still rough.

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>> I I like it. It has become the default
way that I use chat, which I think is a

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very promising thing. >> Me, too.

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>> And I I shared with you like I think
you know, I'm I'm in the beta, so I was in

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the the early period, so I I think it's
it you know, it has limits. It's like

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has been a little bit
buggy for me, so >> Yeah.

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>> there's a lot
of different surfaces that

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it can be used on like mobile and it has
its own cloud computer and like all that

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kind of stuff and I think those kinds
of things getting that cleaned up is a big

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deal, but yeah. >> That that I
think this is the kind of

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thing where it's going to get like better
rapidly each week from here, but it's

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going to definitely take some
time to smooth it all out.

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>> I had a similar example where I was
trying to reschedule a flight and it was

00:12:17.440 --> 00:12:20.317
like, "Hey, you have a meeting during
this flight that you're rescheduling."

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but it wasn't on my calendar.
It had just like read it in Slack.

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>> Yeah. >> And then it was like, yeah.

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>> That that thing about the ability
to bring context together from across your

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entire life and like really do things
in ways that would be hard even for an

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attentive person to get right has been
super impressive. That's been one of the

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things I've found most useful about it.

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>> What had to happen from a research
perspective to make this possible?

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>> This is like a very complicated
system with a lot of stuff, but maybe most

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important was Astra. We needed like
a You needed a smart enough model. And

00:12:49.920 --> 00:12:52.797
then there were a lot of other things
you had to build, too, but but getting

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the model over the intelligence
bar was a key part.

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>> Mhm. You told me that there's like
there've been a couple times, not just

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for like scheduling or or or things
that are urgent like uh filtering, but

00:13:04.320 --> 00:13:07.637
there've been a couple times where
it's helped you see something or make a

00:13:07.720 --> 00:13:11.357
decision with an AI that you could not
have. You said you couldn't have hired

00:13:11.440 --> 00:13:14.957
someone to do that. Like it just be too
complicated. Do you have any specific

00:13:15.040 --> 00:13:18.317
examples you can share?
>> There was one like new feature that I

00:13:18.400 --> 00:13:22.757
was kind of excited about and it
would have been very hard to explain it

00:13:22.840 --> 00:13:26.757
to people in enough detail to get it
built. Um and even then there were like

00:13:26.840 --> 00:13:29.557
a lot of ways to do it and I wouldn't
have been confident in which one. And I

00:13:29.640 --> 00:13:34.237
just like I would just like constantly
jot notes as I thought of something or

00:13:34.320 --> 00:13:36.197
as I was like on a walk or whatever to

00:13:36.280 --> 00:13:41.597
my dot. And then the dot went off
and built like five or six versions. I was

00:13:41.680 --> 00:13:44.157
able to get feedback. I was able to
iterate. And it was just like whenever I

00:13:44.240 --> 00:13:49.557
had a spare moment or had an idea and
that kind of like the ability to just like

00:13:49.640 --> 00:13:53.237
dump that in raw form, the ability
to like get and give pretty continuous

00:13:53.320 --> 00:13:57.277
feedback on it was very cool. And then
there's like many categories like that

00:13:57.360 --> 00:14:01.077
where like uh an idea that would be

00:14:01.160 --> 00:14:04.317
you'd be so unsure about or it would be
too much effort for you or for someone

00:14:04.400 --> 00:14:07.357
else to build.
You can actually just kind of like

00:14:07.440 --> 00:14:09.397
continually iterate on and and it's it's

00:14:09.480 --> 00:14:14.757
like it's pretty cool to go to sleep
and like just leave a long voice note as

00:14:14.840 --> 00:14:17.077
you're kind of drifting
off with a bunch of thoughts

00:14:17.160 --> 00:14:19.917
and like wake up in the morning not only
is the thing built, but it like went off

00:14:20.000 --> 00:14:23.477
and did like the next seven steps. It's
the best. And it's like all right, this

00:14:23.560 --> 00:14:27.997
is like a very cool way to express stuff.
And then and then also like there

00:14:28.080 --> 00:14:30.997
there's a set of tasks that I would
normally give up on or that I would have

00:14:31.080 --> 00:14:35.677
given up on before. There was a thing
that I was sure I had seen in Slack.

00:14:35.760 --> 00:14:39.557
And Slack search is obviously terrible,
so I mostly use Codex to search it. And

00:14:39.640 --> 00:14:42.077
I had been searching for this thing cuz
I wanted to find it again. I wanted to

00:14:42.160 --> 00:14:47.237
reference it. And I spent like a good
10 or 20 minutes trying to search with

00:14:47.320 --> 00:14:50.277
Codex and find this and I kept trying
different things and didn't find it. And

00:14:50.360 --> 00:14:53.637
I was like, man, like maybe I dreamed it

00:14:53.720 --> 00:14:57.877
and this didn't really happen
because Codex doesn't usually fail.

00:14:57.960 --> 00:15:02.837
And I kind of gave up on it.
And then the next day um

00:15:02.920 --> 00:15:06.077
my dot was like, hey, I noticed
you were trying to do this thing

00:15:06.160 --> 00:15:09.197
and you didn't find it, but I like kept
thinking about it overnight and I found

00:15:09.280 --> 00:15:13.157
it for you. >> Wow. >> And I was like,
what? And it was a screenshot.

00:15:13.240 --> 00:15:16.957
>> Mhm. >> I had forgotten in my head it
was a screenshot not text in Slack. And it

00:15:17.040 --> 00:15:19.357
just like sat there very patiently
looking for something to do to be

00:15:19.440 --> 00:15:23.997
helpful to me and like looked at every
image wrecked every screenshot and found

00:15:24.080 --> 00:15:27.797
the thing. And I was like that's really
that's really >> have given up on that.

00:15:27.880 --> 00:15:31.877
>> I think there's a you're
we're constantly feeling that

00:15:31.960 --> 00:15:34.877
there's way too much to read in Slack
on email and all that kind of stuff and

00:15:34.960 --> 00:15:38.797
it's it's perfect for that amount
of context to just like get you the right

00:15:38.880 --> 00:15:42.797
thing at the right time. >> People have
talked about the need to have an agent

00:15:42.880 --> 00:15:47.037
deal with the just onslaught of the
internet and all of the various things

00:15:47.120 --> 00:15:50.717
trying to like hack our attention
and distract us and whatever and I have

00:15:50.800 --> 00:15:52.637
definitely learned in the few weeks that

00:15:52.720 --> 00:15:55.877
I've been using dots that

00:15:55.960 --> 00:16:00.157
although technology is very wonderful
in many ways, the kind of like crazy

00:16:00.240 --> 00:16:02.317
attention hacking of social media and

00:16:02.400 --> 00:16:04.717
phones and notifications had gotten way

00:16:04.800 --> 00:16:07.997
worse than I realized for me personally.

00:16:08.080 --> 00:16:10.357
>> You hear a lot about AI tools on this

00:16:10.440 --> 00:16:15.197
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00:16:55.640 --> 00:16:59.597
That's Attio, a t t i o.com/every.

00:16:59.680 --> 00:17:01.797
And now, back to the episode.

00:17:01.880 --> 00:17:04.477
>> Tell me about Space.
It's it's a big bet

00:17:04.560 --> 00:17:08.597
to do three like office suite
type tools in one launch.

00:17:08.680 --> 00:17:10.917
>> We didn't set out wanting to do this.

00:17:11.000 --> 00:17:13.757
And then we realized, and I'm sure

00:17:13.840 --> 00:17:15.517
you've realized your own version of this

00:17:15.600 --> 00:17:18.757
too, that software was really not

00:17:18.840 --> 00:17:22.757
designed on the whole
for collaborating with AI.

00:17:22.840 --> 00:17:25.077
And you can use it yourself or you can

00:17:25.160 --> 00:17:28.837
have AI use it on your behalf, but to

00:17:28.920 --> 00:17:32.157
really collaborate closely, especially
when it's multiple people and multiple

00:17:32.240 --> 00:17:35.917
people's AIs all working together,
like a lot of the current abstractions

00:17:36.000 --> 00:17:40.077
we have break down. So, this is
definitely an ambitious bet, but uh

00:17:40.160 --> 00:17:44.077
but I think that the space of human
AI collaboration is really important to

00:17:44.160 --> 00:17:46.317
explore. >> How are you
working with it? Like are

00:17:46.400 --> 00:17:51.037
you reviewing docs in space or are you

00:17:51.120 --> 00:17:53.357
making docs and do you have expectations

00:17:53.440 --> 00:17:56.117
for how much of it you're typing versus

00:17:56.200 --> 00:18:00.837
how much of it your dot is doing for you
and also with the with the docs that you

00:18:00.920 --> 00:18:04.157
get? Like are you are you viewing
it from that perspective, too?

00:18:04.240 --> 00:18:08.357
>> If there's like a new idea,
um I like writing the old-fashioned way

00:18:08.440 --> 00:18:12.397
cuz it helps me like think about it.
So, I still do that and then maybe have my

00:18:12.480 --> 00:18:14.637
dot or other people's dot like

00:18:14.720 --> 00:18:19.637
do the follow-ups, but one of the things
that I have found most amazing about it

00:18:19.720 --> 00:18:22.117
and I don't think we have a word
for this yet, but the for lack of a better

00:18:22.200 --> 00:18:26.237
word, these like live documents,
um creating a doc that is going to

00:18:26.320 --> 00:18:28.837
automatically update as people interact

00:18:28.920 --> 00:18:30.717
or as other things change in the world

00:18:30.800 --> 00:18:33.597
and something that like many of our dots

00:18:33.680 --> 00:18:38.197
can work with together not only to like
share information, but but actually

00:18:38.280 --> 00:18:41.877
like, you know, seven people's dots can
working together create something new

00:18:41.960 --> 00:18:45.357
that kind of existed in all of our heads
to some degree, but it was like an

00:18:45.440 --> 00:18:49.437
emergent thing. That's been very fun as we
think about like new features to explore.

00:18:49.520 --> 00:18:53.197
>> Is there a specific live doc
that has been most useful for you?

00:18:53.280 --> 00:18:56.477
>> I have switched like the dashboard,
I think everybody's probably got like a

00:18:56.560 --> 00:18:59.797
dashboard that they look at every day
for how the company's doing in the way

00:18:59.880 --> 00:19:03.357
they care about and you know, I used
to share one with everybody else or many

00:19:03.440 --> 00:19:08.117
other people and I now have
one that is kind of like

00:19:08.200 --> 00:19:12.597
a changing summary
of the business just for me

00:19:12.680 --> 00:19:15.957
based off of like the evolving things
that I'm caring about or not caring

00:19:16.040 --> 00:19:19.397
about. Like looks at all my Slack
messages, makes me a new thing, like

00:19:19.480 --> 00:19:22.837
constantly updates it, and it's like, "Oh,
this just feels like a living document."

00:19:22.920 --> 00:19:25.157
>> That's sick.
What What do you care about now?

00:19:25.240 --> 00:19:29.157
>> A lot on my mind recently is just
how we're thinking about the safety

00:19:29.240 --> 00:19:32.797
alignment and security
challenge in front of us. Um

00:19:32.880 --> 00:19:36.317
But, you know, 6 months ago, I probably
cared more about revenue and growth and

00:19:36.400 --> 00:19:39.957
metrics of this sort of traditional
part of the business. So, watching that

00:19:40.040 --> 00:19:43.517
evolve. I I've actually been thinking
about how I can like cuz I'd be very

00:19:43.600 --> 00:19:47.997
curious to see what my dot thinks I care
about each day the most over time. And

00:19:48.080 --> 00:19:51.237
we don't currently have a good way
to visualize that. I have not been able to

00:19:51.320 --> 00:19:55.157
get my dot to figure out a cool way
to do that. And I would love to see that

00:19:55.240 --> 00:19:57.677
over the course of years.
>> I think that's really cool. I've been

00:19:57.760 --> 00:20:01.397
wanting one that just like it's
a live dashboard of my mood.

00:20:01.480 --> 00:20:04.557
Uh because I I have my dot
like when I get a Slack

00:20:04.640 --> 00:20:07.157
message and I'm like, I don't know if
I want to look at this Slack message, I

00:20:07.240 --> 00:20:10.237
have my dot go look at it, and then
I'm like, "Should I look at this an hour

00:20:10.320 --> 00:20:12.757
later?" And it's like,
"You should look later."

00:20:12.840 --> 00:20:16.317
Um and I kind of want like a live
thing of my mood, so it knows

00:20:16.400 --> 00:20:18.227
Yeah, yeah. I I want that, too.

00:20:18.310 --> 00:20:22.517
>> [laughter] >> Um very cool.
Tell me about Decisions API.

00:20:22.600 --> 00:20:24.677
I feel like the Decisions API is

00:20:24.760 --> 00:20:29.877
one of the sneaky most important things
today because Jev is this new hot thing

00:20:29.960 --> 00:20:33.757
that has honestly changed how we think
about building things internally. Is

00:20:33.840 --> 00:20:37.517
Decisions API Did you start that from Jev,
or is has it been in the works for

00:20:37.600 --> 00:20:39.237
a while? How do you think about it?

00:20:39.320 --> 00:20:44.477
>> Diogo uh used to work at OpenAI,
and um Diogo's awesome, and he was talking

00:20:44.560 --> 00:20:47.077
about this class of ideas for a long time.

00:20:47.160 --> 00:20:52.637
Um and we had been working on

00:20:52.720 --> 00:20:56.317
trying to figure out how to make it work.
We We like the number one request

00:20:56.400 --> 00:20:59.757
of Luna, and this is like an example
of how people always want like more

00:20:59.840 --> 00:21:02.797
cheaper, faster, better. But, the number
one request with Luna, even though

00:21:02.880 --> 00:21:07.397
people love that model, was I want
it to be even cheaper and even faster.

00:21:07.480 --> 00:21:11.277
And so, we have been thinking about how we
could push it further in that direction.

00:21:11.360 --> 00:21:15.677
Um definitely seeing
the response to Jev made us

00:21:15.760 --> 00:21:17.557
more excited to prioritize things in

00:21:17.640 --> 00:21:20.557
that direction. Um but and like Diogo

00:21:20.640 --> 00:21:25.037
has inspired me for a long time
on thinking about this. Um but I think you

00:21:25.120 --> 00:21:29.357
will see us try to push you know,
in different ways in the

00:21:29.440 --> 00:21:31.757
spirit of make

00:21:31.840 --> 00:21:36.557
the technology super fast and super
low cost for common use cases.

00:21:36.640 --> 00:21:40.877
>> How do you think about, you know,
if something like Jev comes out, it's a

00:21:40.960 --> 00:21:45.317
kind of new type of model, and then
OpenAI can can add like a decisions API?

00:21:45.400 --> 00:21:47.717
How do you think about how that changes

00:21:47.800 --> 00:21:50.637
the race between new labs and labs and

00:21:50.720 --> 00:21:54.797
and what what OpenAI can cover
and what a new lab can focus on?

00:21:54.880 --> 00:21:58.157
>> As I understand the approach of Jev,
it's pretty different, and I don't think

00:21:58.240 --> 00:22:02.197
we can go I don't well, maybe we could
go do something from scratch like that,

00:22:02.280 --> 00:22:03.757
but I think we have other things to go

00:22:03.840 --> 00:22:06.517
do. You know, like we want to make

00:22:06.600 --> 00:22:11.117
the best, cheapest, fastest,
most capable model at every point on the

00:22:11.200 --> 00:22:15.117
Pareto curve of cost and speed and
modality, but I think there will be new

00:22:15.200 --> 00:22:18.237
approaches, new architectures,
new technologies that are things we just

00:22:18.320 --> 00:22:22.397
can't cover all of. But for the the kind
of main line workhorse, like we will try

00:22:22.480 --> 00:22:26.437
to deliver that. >> So I've
been like in your ear a lot

00:22:26.520 --> 00:22:29.237
about Codex native apps
for a little while now.

00:22:29.320 --> 00:22:32.077
>> did it. >> And you finally
did it. I'm psyched. Um

00:22:32.160 --> 00:22:36.997
so plugin extensions, um yeah,
I I and also being able to bring

00:22:37.080 --> 00:22:40.557
your tokens from your ChatGPT
subscription to an app developer, like

00:22:40.640 --> 00:22:43.677
it changes the equation
for someone like me where

00:22:43.760 --> 00:22:47.637
normally you're you're thinking about,
okay, how much AI can I let my users use

00:22:47.720 --> 00:22:50.517
so that doesn't bankrupt me? And then
you're like, can I use should I use uh

00:22:50.600 --> 00:22:53.557
lower-priced models? And then the
experience is worse, but if someone can

00:22:53.640 --> 00:22:55.717
bring their subscription, I'm like,
great, you can use whatever model you

00:22:55.800 --> 00:22:58.877
want under your subscription. What are
you most excited about for the kinds of

00:22:58.960 --> 00:23:02.757
applications and products that can be
built at the application layer in this

00:23:02.840 --> 00:23:04.997
new world. >> I mean,
I'm most excited for the ones

00:23:05.080 --> 00:23:08.917
that we haven't thought of. Like there's
many reasons that we wanted to do this,

00:23:09.000 --> 00:23:13.037
but one of the biggest is and why we do

00:23:13.120 --> 00:23:15.517
this big DevDay thing is just that this

00:23:15.600 --> 00:23:18.517
this very deep belief that there are way

00:23:18.600 --> 00:23:23.317
more good ideas outside of our building
than inside. And I don't know what I'm

00:23:23.400 --> 00:23:25.517
going to love the most as like a ChatGPT

00:23:25.600 --> 00:23:28.877
native app a plugin extension, but I am

00:23:28.960 --> 00:23:32.717
very confident that there will be things
that I really do love that I cannot

00:23:32.800 --> 00:23:35.597
imagine today and that no one at OpenAI
really could imagine with conviction

00:23:35.680 --> 00:23:38.877
today. And that's why I mean,
that's one of the reasons why

00:23:38.960 --> 00:23:43.957
this is so important to do. Like we we
want to find a way to get that creative

00:23:44.040 --> 00:23:47.477
spirit into people's hands and we want
to find a way to help builders connect

00:23:47.560 --> 00:23:50.917
with people who are going to find the
technology useful. In terms of bringing

00:23:51.000 --> 00:23:54.357
your ChatGPT subscription with you
everywhere, like we just want that

00:23:54.440 --> 00:23:57.677
ourselves. There's all this great stuff
that people are building. There's all

00:23:57.760 --> 00:23:58.917
these new apps. We all we want to try

00:23:59.000 --> 00:24:02.677
them. Um and I like I hate having to

00:24:02.760 --> 00:24:06.037
sign up for 100 subscriptions. And also
like when I try something I'm like,

00:24:06.120 --> 00:24:09.557
"Hey, I you know, like I'd like to be
able to use this with like full juice

00:24:09.640 --> 00:24:14.037
AI." Um so we we want to make it just
super easy for people to take it with

00:24:14.120 --> 00:24:18.557
them and it's your subscription like it's
you should get to use wherever you want.

00:24:18.640 --> 00:24:21.517
>> Do you think anyone at the app
layer is doing this well today?

00:24:21.600 --> 00:24:24.837
>> Like building interesting apps? Well,
not with the new stuff just because it's

00:24:24.920 --> 00:24:28.397
brand new, but but yes, I mean,
I think there's an unbelievable

00:24:28.480 --> 00:24:32.117
for all of the fear people had a couple
of years ago about, "Man, AI model

00:24:32.200 --> 00:24:34.837
companies are just going to eat
everything." There's an unbelievable

00:24:34.920 --> 00:24:38.277
amount of significant
new companies, great new

00:24:38.360 --> 00:24:42.477
products building this stuff all of the
time. I I've never seen startups get as

00:24:42.560 --> 00:24:46.037
successful as quickly. >> Does
that change, you know, you you were

00:24:46.120 --> 00:24:50.197
part of Y Combinator before OpenAI,
does that change how you think about when

00:24:50.280 --> 00:24:52.797
people ask you about, "How do I start
a startup?" or "How do I think about how

00:24:52.880 --> 00:24:54.037
to grow?" like all that kind of stuff?

00:24:54.120 --> 00:24:58.197
>> I would love to be a startup investor
again. Um I mean, cuz like oh man, what

00:24:58.280 --> 00:25:02.157
a fun time. Like, I that the watching
what people are doing right now, getting

00:25:02.240 --> 00:25:04.517
to spend time with some of these
founders, which I don't get nearly as

00:25:04.600 --> 00:25:08.717
much as I like,
it is it is just a golden age.

00:25:08.800 --> 00:25:10.877
>> What are you looking for?
I mean, obviously besides the founder

00:25:10.960 --> 00:25:13.437
themselves, like what are you looking
for in the shape of things that you'd be

00:25:13.520 --> 00:25:15.597
like, oh man, I want to invest in that.

00:25:15.680 --> 00:25:18.637
>> Mhm. I was always a very founder-driven

00:25:18.720 --> 00:25:22.837
investor. Like, I I I have my pet
projects like anybody else, but my my

00:25:22.920 --> 00:25:26.957
whole MO as an investor was like,
find the absolute best founders I can that

00:25:27.040 --> 00:25:29.517
are working on the ambitious projects
and be willing to take a lot of risk

00:25:29.600 --> 00:25:32.197
with them. >> Yeah,
I I feel like there's always that

00:25:32.280 --> 00:25:36.917
narrative of the net labs are going to eat
everything and Dev Days like the the

00:25:37.000 --> 00:25:40.957
tweet that always works is like,
OpenAI just killed X startup or whatever.

00:25:41.040 --> 00:25:44.117
>> The tweet works because people
like doomerism, but it never actually

00:25:44.200 --> 00:25:47.157
happens. [laughter] >> Yeah,
why is that? Why does it never happen?

00:25:47.240 --> 00:25:51.317
>> Yeah. >> Well, A, I think
we have a lot of conviction that

00:25:51.400 --> 00:25:55.197
empowering builders and not just trying
to be like the one giant evil mega corp

00:25:55.280 --> 00:26:00.597
is important. So, I I think we took
a lot of steps today that no other AI lab

00:26:00.680 --> 00:26:03.717
would do about saying we're going
to give you all of the same tools we use.

00:26:03.800 --> 00:26:08.917
We've always pushed the frontier on on
model access. And so, I think we're like

00:26:09.000 --> 00:26:11.997
uniquely committed in the industry
to doing this. And we we really do love

00:26:12.080 --> 00:26:15.837
developers and I think that's partly I
just also love startups and that's where

00:26:15.920 --> 00:26:18.517
I came from. But, I also
think speaking of like a new

00:26:18.600 --> 00:26:21.797
renaissance, it's just
there is so much to explore.

00:26:21.880 --> 00:26:24.077
People are going to do
such incredible stuff.

00:26:24.160 --> 00:26:27.917
We are going to have such a tiny
fraction of that vision ourselves

00:26:28.000 --> 00:26:29.997
that, you know, like the world has a

00:26:30.080 --> 00:26:34.997
fundamentally new enabler. This is like
I mean, I don't even know what this is

00:26:35.080 --> 00:26:38.517
like fire or something. This is like
a real change to what's possible. You

00:26:38.600 --> 00:26:40.837
know, maybe we like brought it down from
the mountain, but we want to give it to

00:26:40.920 --> 00:26:43.357
everybody and we want people
to like do stuff with it.

00:26:43.440 --> 00:26:47.317
>> There's a lot of basic
startup lore, like you should

00:26:47.400 --> 00:26:50.597
always have a co-founder or, you know,
even the structure of how Y Combinator

00:26:50.680 --> 00:26:56.117
does investments that is based on a
previous, for example, cost structure.

00:26:56.200 --> 00:26:59.237
If you were going to start those things
from scratch or think about them from

00:26:59.320 --> 00:27:00.997
scratch, like what do you think changes?

00:27:01.080 --> 00:27:04.277
>> There are a few things
that are probably just like

00:27:04.360 --> 00:27:07.317
invariants. You know, you got to like
make something people want. That advice

00:27:07.400 --> 00:27:09.477
was good or agents want 100 years ago.

00:27:09.560 --> 00:27:14.397
>> Yeah, okay. Well, >> yes, but at least

00:27:14.480 --> 00:27:17.157
by our understanding of the world today,
like at some level people got to want

00:27:17.240 --> 00:27:21.157
it. You got it. So,
there's some stuff that just

00:27:21.240 --> 00:27:24.597
hasn't changed. And then there's
a lot of other things like

00:27:24.680 --> 00:27:27.397
how much work you can get done with one
person or two people or whatever that

00:27:27.480 --> 00:27:31.837
feels totally different.
And I don't think there has been enough

00:27:31.920 --> 00:27:35.997
re-examination of that
in this sort of startup

00:27:36.080 --> 00:27:37.637
conveyor belt of Silicon Valley yet.

00:27:37.720 --> 00:27:40.757
>> As a person who's
running a gigantic company

00:27:40.840 --> 00:27:43.637
and generally probably wouldn't have
time for building stuff and it now seems

00:27:43.720 --> 00:27:47.197
like you are, how does that change

00:27:47.280 --> 00:27:51.237
how you are able to lead or what you're
able to do that you can like make stuff

00:27:51.320 --> 00:27:54.717
on the side? >> I mean, we are
not a gigantic company, first of

00:27:54.800 --> 00:27:57.997
all. Like there's probably, I don't know,
like maybe the big tech companies

00:27:58.080 --> 00:27:59.437
have like 100 times more people than we

00:27:59.520 --> 00:28:02.037
do, something like that. But,

00:28:02.120 --> 00:28:05.597
I am way I I I I really believe in if

00:28:05.680 --> 00:28:09.877
you lower friction a little
bit, people build way more.

00:28:09.960 --> 00:28:12.317
And I have really felt that now with

00:28:12.400 --> 00:28:15.837
dots and these like, you know, little

00:28:15.920 --> 00:28:19.797
chunks of time I have or even a like
a long chunk of time where I can like have

00:28:19.880 --> 00:28:21.877
these interactive things get a lot done.

00:28:21.960 --> 00:28:26.197
Uh I I I feel like I will do
something that is not just like a

00:28:26.280 --> 00:28:29.357
little side project for myself like I
used to do with Codex, but like I hope I

00:28:29.440 --> 00:28:31.837
launch something to the world. Like I
hope I actually make a cool new thing

00:28:31.920 --> 00:28:33.997
and like get it over the threshold.

00:28:34.080 --> 00:28:37.117
>> And like does that go out on like
samaltman.com or you're talking about

00:28:37.200 --> 00:28:38.997
like a real like OpenAI product?

00:28:39.080 --> 00:28:42.117
>> Uh I meant like I
would try to like build a

00:28:42.200 --> 00:28:44.477
plugin extension
or something and put it out.

00:28:44.560 --> 00:28:47.167
>> That's that's >> Maybe I Maybe
I'll ship a real OpenAI product.

00:28:47.250 --> 00:28:50.317
>> [laughter] >> Feels >>
like all bets are off now.

00:28:50.400 --> 00:28:52.677
And so, you know, you have
to make that decision. Do I

00:28:52.760 --> 00:28:54.397
>> You know what?
I will do that. I'm inspired now.

00:28:54.480 --> 00:28:56.317
>> What's Do you have >> I don't know.
I want to go think about

00:28:56.400 --> 00:28:57.277
it and I want to do something.

00:28:57.360 --> 00:29:00.037
>> I love it. I love it. But you you do
have to make that decision of like you

00:29:00.120 --> 00:29:04.557
could just put a team on that. So,
what do you get to What does that add that

00:29:04.640 --> 00:29:07.237
instead of having to put a team on it,
you can now be like, "Oh, I'm going to

00:29:07.320 --> 00:29:10.317
make a plug-in." >> Uh well,
I think today was an example of

00:29:10.400 --> 00:29:12.997
this. Like you talked about how
the amount of stuff every dev day has gone

00:29:13.080 --> 00:29:17.637
up. Like we could not have done all of
this stuff without having AI to help us.

00:29:17.720 --> 00:29:21.597
And if this works, like next year we will

00:29:21.680 --> 00:29:24.837
put the teams on it and I will do
something and more people will do

00:29:24.920 --> 00:29:28.717
something and we'll have like
a crazy amount of amazing stuff.

00:29:28.800 --> 00:29:32.797
Or just one really great thing.
That'd be fine, too. But like hopefully

00:29:32.880 --> 00:29:36.637
the total amount of like utility
we put out into the world goes up.

00:29:36.720 --> 00:29:39.237
>> Do you do all your
prompting on ultrafast?

00:29:39.320 --> 00:29:42.717
>> I do. >> That's sick. >> Yeah.
[laughter] >> That's crazy.

00:29:42.800 --> 00:29:44.117
>> No, I've been I've been thinking about

00:29:44.200 --> 00:29:48.677
this. Um I I worry that in some ways

00:29:48.760 --> 00:29:52.557
we kind of get out of touch with people
building on our tools and we try we've

00:29:52.640 --> 00:29:56.317
tried to like put all these constraints
on ourselves. You know, I'm like very

00:29:56.400 --> 00:29:59.957
aware that not everybody is going to be
able to use ultrafast all the time for

00:30:00.040 --> 00:30:03.437
everything. But I have such
a hard time dragging it back over.

00:30:03.520 --> 00:30:07.677
>> Given that you're like living in that
future that I think, you know, all of us

00:30:07.760 --> 00:30:10.797
can experience a little taste of it,
what is what is different about the

00:30:10.880 --> 00:30:13.557
ultrafast world in terms of how you can

00:30:13.640 --> 00:30:15.077
use these tools?

00:30:15.160 --> 00:30:18.037
>> There was an amazing talk like, I don't

00:30:18.120 --> 00:30:20.837
know, 15 20 years ago from Bret Victor

00:30:20.920 --> 00:30:25.677
about kind of the principles
that he thought people like

00:30:25.760 --> 00:30:28.997
how he did his work.
And one of the things I'm going to get

00:30:29.080 --> 00:30:31.677
this a little bit wrong, but it
was something like creators should have an

00:30:31.760 --> 00:30:32.997
immediate connection to what they're

00:30:33.080 --> 00:30:35.637
creating. And how speed and the feedback

00:30:35.720 --> 00:30:39.237
loop was so important. And I did not

00:30:39.320 --> 00:30:41.917
realize what a difference that makes to

00:30:42.000 --> 00:30:47.477
my kind of iterative thinking loop
to have responses come in so quickly. But

00:30:47.560 --> 00:30:49.717
But in terms of trying to build
something, trying to think through a

00:30:49.800 --> 00:30:52.797
problem, it's like a wild difference.

00:30:52.880 --> 00:30:54.717
>> I know you've been thinking for a long

00:30:54.800 --> 00:30:58.237
time about AI as a democratizing force

00:30:58.320 --> 00:31:00.237
to allow to allow anyone to build stuff.

00:31:00.320 --> 00:31:04.477
And in the sort of ultra fast world
or in the Astra is a more expensive model

00:31:04.560 --> 00:31:08.157
world, I know you're also thinking about
that means something that people can pay

00:31:08.240 --> 00:31:11.797
more for better intelligence. So, like
like what are you What are you thinking

00:31:11.880 --> 00:31:14.917
there? >> So, historically,
what we have mostly

00:31:15.000 --> 00:31:18.957
focused on and I think done a great job
of is bringing down the like price of

00:31:19.040 --> 00:31:23.237
IQ. And we have made
hugely more capable models

00:31:23.320 --> 00:31:27.557
that get dramatically dramatically
cheaper every few months or every year.

00:31:27.640 --> 00:31:31.037
Now, there's this new vector that is
clearly going to be very important of

00:31:31.120 --> 00:31:34.877
speed. And we are putting the investments
in place. Like our own chip

00:31:34.960 --> 00:31:39.477
is going to be an incredible contributor
to letting us get very fast inference in

00:31:39.560 --> 00:31:43.557
the hands of everybody to say nothing
of what the models will do to improve

00:31:43.640 --> 00:31:47.077
research and our our inference
stack and everything else.

00:31:47.160 --> 00:31:50.877
And I think we now realize that we've
got to go invest in the democratization

00:31:50.960 --> 00:31:54.797
of this like we have
for model intelligence.

00:31:54.880 --> 00:31:59.997
>> So, when can I expect to use
ultra fast for all my problems?

00:32:00.080 --> 00:32:01.437
>> You can pay us for it and do it now.

00:32:01.520 --> 00:32:03.017
Like uh >> Yeah,
I don't think I can afford it.

00:32:03.100 --> 00:32:07.317
[laughter] >> I think we can deliver 8x

00:32:07.400 --> 00:32:11.757
at a great price in the not distant
future. But then we'll have 100x faster.

00:32:11.840 --> 00:32:16.157
And like, you know, and there
they'll also be like, you know, GPT-7

00:32:16.240 --> 00:32:18.677
galaxy or whatever. Um

00:32:18.760 --> 00:32:21.557
And so, I I think I I think the right

00:32:21.640 --> 00:32:23.757
way to think about this is

00:32:23.840 --> 00:32:29.437
as far as I can see there will
always be a real frontier in

00:32:29.520 --> 00:32:33.477
terms of intelligence or speed
or whatever else at a higher price. But I

00:32:33.560 --> 00:32:35.717
think you can also bet that we will keep

00:32:35.800 --> 00:32:37.677
doing what we've done of just a

00:32:37.760 --> 00:32:40.997
ridiculous like put Moore's law to shame

00:32:41.080 --> 00:32:44.637
relentless focus on driving value per

00:32:44.720 --> 00:32:48.597
dollar up and up and up kind
of in this big company way.

00:32:48.680 --> 00:32:50.317
>> Amazing. Sam, thank you so much.

00:32:50.400 --> 00:32:52.800
>> Thank you.

00:32:53.540 --> 00:32:55.560
>> [applause]

00:32:56.240 --> 00:32:57.877
>> THANK YOU ALL FOR COMING. I DIDN'T
REALIZE THERE WAS GOING TO BE LIKE A

00:32:57.960 --> 00:33:00.157
LIVE AUDIENCE, but that was fun.

00:33:00.240 --> 00:33:02.840
See you. >> See you.
