#419 – Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGI

The following is a conversation with Sam Altman, his second time in the podcast.

He is the CEO of OpenAI, the company behind GPT-4, ChadGPT, Sora, and perhaps one day,

the very company that will build AGI.

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And now, dear friends, November 17th for you. That was definitely the most painful professional experience of my life and chaotic and shameful and upsetting and a bunch of other negative things uh there were great things about it too and i wish i wish it had not been in such an adrenaline rush that i wasn't able to stop and appreciate them at the time.

But I came across this old tweet of mine, or this tweet of mine from that time period,

which was like, it was like, you know, kind of going to your own eulogy, watching people say all these great things about you and just like unbelievable support from people I love and care about. That was really nice.
That whole weekend, I kind of like felt with one big exception, I felt like a great deal of love and very little hate. Even though it felt like I just, I have no idea what's happening

and what's going to happen here and this feels really bad.

There were definitely times I thought it was going to be

one of the worst things to ever happen for AI safety.

I also think I'm happy that it happened relatively early.

I thought at some point between when OpenAI started

and when we created agi

there was going to be something crazy and explosive that happened but there may be more crazy and explosive things still to happen um it still i think helped us build up some resilience and be ready for more challenges in the future.

But the thing you had a sense that you would experience is some kind of power struggle. The road to AGI should be a giant power struggle.
Like the world should, well, not should, I expect that to be the case. And so you have to go through that, like you said,

iterate as often as possible,

figuring out how to have a board structure,

how to have organization,

how to have the kind of people that you're working with,

how to communicate all that

in order to de-escalate the power struggle

as much as possible, pacify it.

But at this point, it feels, you know, like something that was in the past that was really unpleasant and really difficult and painful, but we're back to work and things are so busy and so intense that I don't spend a lot of time thinking about it. There was a time after.
There was like this fugue state for kind of like the month after, maybe 45 days after. That was, I was just sort of like drifting through the days.
I was so out of it. I was feeling so down.
Just at a personal psychological level yeah really painful um and hard to like have to keep running open ai in the middle of that i just wanted to like crawl into a cave and kind of recover for a while but you know now it's like we're just back to working on the mission well Well, it's still useful to go back there and reflect on board structures, on power dynamics, on how companies are run, the tension between research and product development and money and all this kind of stuff, so that you, who have a very high potential of building AGI would do so in a slightly more organized, less dramatic way in the future. So there's value there to go, both the personal psychological aspects of you as a leader and also just the board structure and all this kind of messy stuff.
Definitely learned a lot about structure and incentives and what we need out of a board. And I think it is valuable that this happened now in some sense.
I think this is probably not like the last high-stress moment of OpenAI, but, but it was quite a high stress moment. My company very nearly got destroyed.
And we think a lot about many of the other things we've got to get right for AGI, but thinking about, uh, how to build a resilient org and how to build a structure that will stand up to like a lot of pressure in the world, which I expect more and more as we get closer. I think that's super important.
Do you have a sense of how deep and rigorous the deliberation process by the board was? Like, can you shine some light on just human dynamics involved in situations like this? Was it just a few conversations and all of a sudden it escalates and why don't we fire Sam kind of thing?

I think the board members are well-meaning people on the whole.

And I believe that in stressful situations

where people feel time pressure or whatever,

people understandably make suboptimal decisions.

And I think one of the challenges for OpenAI will be

we're going to have to have a board and a team

that are good at operating under pressure.

Do you think the board had too much power?

I think boards are supposed to have a lot of power. But one of the things that we did see is in most corporate structures, boards are usually answerable to shareholders.
You know, there's sometimes people have like super voting shares or whatever. In this case, and I think one of the things with our structure that we maybe should have thought about more than we did is that the board of a nonprofit has, unless you put other rules in place, like quite a lot of power.

They don't really answer to anyone but themselves. And there's ways in which that's good, but what we'd really like is for the board of OpenAI

to like answer to the world as a whole

as much as that's a practical thing.

So there's a new board announced?

Yeah.

There's I guess a new smaller board at first

and now there's a new final board.

Not a final board yet.

We've added some, we'll add more.

Added some, okay.

What is

fixed in the new one that was perhaps

broken

in the previous one?

The old board sort of got

smaller over the course of about a

year. It was nine and then it went down to six.

And then we couldn't agree

on who to add. And

the board also

I think

didn't have a lot of experienced board members

and a lot of the new board members

I'm just... on who to add.
And the board also, I think, didn't have a lot of experienced board members. And a lot of the new board members at OpenAI have just have more experience as board members.
I think that'll help. It's been criticized, some of the people that are added to the board.
I heard a lot of people criticizing the addition of Larry Summers, for example. What's the process of selecting the board like? What's involved in that? So Brett and Larry were kind of decided in the heat of the moment over this like very tense weekend.
And that was, I mean, that weekend was like a real roller coaster. It was like a lot of, a lot of ups and downs.
And we were trying to agree on new board members that both sort of the executive team here and the old board members felt would be reasonable. Larry was actually one of their suggestions, the old board members.
Brett, I think I had even previous to that weekend suggested, but he was busy and didn't want to do it.

And then we really needed help and would.

We talked about a lot of other people too. But that was – I felt like if I was going to come back, I needed new board members.

I didn't think I could work with the old board again in the same configuration, although we then decided, and I'm grateful that Adam would stay. But we wanted to get to, we considered various configurations, decided we wanted to get to a board of three and had to find two new board members over the course of sort of a short period of time.
So those were decided, honestly, without, you know, that's like you kind of do that on the battlefield. You don't have time to design a rigorous process then.
For new board members since, new board members will add going forward, we have some criteria that we think are important for the board to have, different expertise that we want the board to have.

Unlike hiring an executive where you need them to do one role well, the board needs to do a whole role of kind of governance and thoughtfulness well. And so one thing that Brett says, which I really like, is that we want to hire board members in slates, not as individuals one at a time.
and thinking about a group of people that will bring

nonprofit expertise, expertise at running companies, sort of good legal and governance expertise. That's kind of what we've tried to optimize for.
So is technical savvy important for the individual board members? Not for every board member, but for certainly some, you need that. That's part of what the board needs to do.
So, I mean, the interesting thing that people probably don't understand about open AI, I certainly don't, is like all the details of running the business. When they think about the board, given the drama, they think about you, they think about like, if you reach AGI or you reach some of these incredibly impactful products and you build them and deploy them, what's the conversation with the board like? And they kind of think, all right, what's the right squad to have in that kind of situation to deliberate? Look, I think you definitely need some technical experts there.
And then you need some people who are like, how can we deploy this in a way that will help people in the world the most and people who have a very different perspective.

You know, I think a mistake that you or I might make is to think that only the technical understanding matters.

And that's definitely part of the conversation

you want that board to have.

But there's a lot more about how that's gonna just like

impact society and people's lives

that you really want represented in there too.

And you're just kind of,

are you looking at the track record of people

or you're just having conversations?

Track record's a big deal.

You of course have a lot of conversations,

Sponsored by presented in there too. And you're just kind of, are you looking at the track record of people or you're just having conversations? Track record is a big deal.
You of course have a lot of conversations, but I, um, you know, there's some rules where I kind of totally ignore track record and just look at slope, kind of ignore the Y intercept. Thank you.
Thank you for making it mathematical making it mathematical for the audience. For a board member, I do care much more about the y-intercept.
I think there is something deep to say about track record there. And experience is sometimes very hard to replace.
Do you try to fit a polynomial function or exponential one to the track record? That's not that. An analogy doesn't doesn't carry that far all right you mentioned some of the low points uh that weekend what were some of the low points psychologically for you uh did you consider going um to the amazon jungle and just taking ayahuasca and disappearing forever or i mean there's so many like it was a very bad period of time.
There were great high points, too.

Like, my phone was just, like, sort of nonstop blowing up with nice messages from people I work with every day, people I hadn't talked to in a decade.

I didn't get to, like, appreciate that as much as I should have because I was just, like, in the middle of this firefight.

But that was really nice.

But on the whole, it was, like, a very painful weekend and also just like a very – it was like a battle fought in public to a surprising degree. And that was extremely exhausting to me, much more than I expected.
I think fights are generally exhausting, but this one really was. You know, the board did this Friday afternoon.
And I really couldn't get much in the way of answers, but I also was just like, well, the board gets to do this. And so I'm going to think for a little bit about what I want to do, but I'll try to find the blessing in disguise here.
And I was like, well, I, you know, my current job at OpenAI is or it was like to like run a you know decently sized company at this point and the thing i'd always liked the most was just getting to like work on work with the researchers and i was like yeah i can just go do like a very focused agi research effort and i got excited about that didn't even occur to me at the time to like possibly that this was all going to get undone this This was like Friday afternoon. So you've accepted the death of this preview.

Very quickly, very quickly.

Like within, you know,

I mean, I went through like

a little period of confusion and rage,

but very quickly.

And by Friday night,

I was like talking to people

about what was going to be next.

And I was excited about that.

I think it was Friday night evening for the first time that I heard from the exec team here, which is like, hey, we're going to fight this and we think, well, whatever. And then I went to bed just still being like, okay, excited, like onward.
Were you able to sleep? Not a lot. It was one of the weird things was this period of four and a half days where sort of didn't sleep much, didn't eat much, and still kind of had like a surprising amount of energy.
You learn like a weird thing about adrenaline and wartime. So you kind of accepted the death of this baby opening.
And I was excited for the new thing. I was just like, okay, this was crazy, but whatever.
It's a very good coping mechanism. And then Saturday morning, two of the board members called and said, hey, we, you know, destabilize, we didn't mean to destabilize things.
We don't want to store a lot of value here. You know, can we talk about you coming back? And I immediately didn't want to do that, but I thought a little more and I was like, well, I don't really care about the people here, the partners, shareholders, like all of the – I love this company.

And so I thought about it and I was like, well, okay, but like here's the stuff I would need.

And then the most painful time of all was over the course of that weekend, I kept thinking and being told.

And we all kept – not just me, like the whole team here kept thinking, well, we were trying to like keep open eyes stabilized while the whole world was trying to break it apart people trying to recruit whatever um we kept being told like all right we're almost done we're almost done we just need like a little bit more time um and it was this like very confusing state and then sunday evening when again like every few hours i expected that we were going to be done and we going to like figure out a way for me to return and things to go back to how they were.

The board then appointed a new interim CEO.

And then I was like, I mean, that is that is that feels really bad.

That was the low point of the whole thing.

You know, I'll tell you something.

It felt very painful, but I felt a lot of love that whole weekend.

It was not other than that one moment Sunday night.

I would not characterize my emotions as anger or hate.

But I really just like I felt a lot of love from people towards people.

It was like painful, but it was like the dominant emotion of the weekend was love, not hate. You've spoken highly of Mira Moradi, that she helped, especially as you put in a tweet, in the quiet moments when it counts.
Perhaps we could take a bit of a tangent. What do you admire about Mira? Well, she did a great job during that weekend in a lot of chaos.
But people often see leaders in the moment, in like the crisis moments, good or bad. But a thing I really value in leaders is how people act on a boring Tuesday at 946 in the morning.
And in just sort of the normal drudgery of the day-to-day, how someone shows up in a meeting, the quality of the decisions they make. That was what I meant about the quiet moments.
Meaning like most of the work is done on a day-by-day in a meeting by meeting, just be present and make great decisions. Yeah.
I mean, look, what you have wanted to spend the last 20 minutes about, and I understand, is like this one very dramatic weekend. Yeah.
But that's not really what Open AI is about. Open AI is really about the other seven years.
Well, yeah, human civilization is not about the invasion of the Soviet Union by Nazi Germany, but still that's something people focus on. Very, very understandable.
It gives us an insight into human nature, the extremes of human nature, and perhaps some of the damage and some of the triumphs of human civilization can happen in those moments. So it's like illustrative.
Let me ask you about Ilya. Is he being held hostage in a secret nuclear facility? No.
What about a regular secret facility? What about a nuclear non-secret facility? Neither. Not that either.
I mean, it's becoming a meme at some point. You've known Ilya for a long time.
He was obviously in part of this drama with the board and all that kind of stuff. What's your relationship with him now? I love Ilya.
I have tremendous respect for Ilya.

I don't have anything I can say about his plans right now.

That's a question for him.

But I really hope we work together for, you know,

certainly the rest of my career.

He's a little bit younger than me.

Maybe he works a little bit longer.

You know, there's a meme that he saw something.

Like he maybe saw AGI and that gave him a lot of worry internally uh what did ilia see uh oh he has not seen agi none of us have seen agi we've not built agi uh i do think uh one of the many things that i really love about Ilya is he takes AGI and the safety concerns, broadly speaking, including things like the impact this is going to have on society very seriously. and we as we continue to make significant progress um ilia is one of the people that I've spent the most time over the last couple of years talking about what this is going to mean, what we need to do to ensure we get it right, to ensure that we succeed at the mission.
so Ilya did not see AGI

but

Ilya is a

credit to humanity in terms of how much he thinks and worries about making sure we get this right. I've had a bunch of conversations with him in the past.
I think when he talks about technology, he's always doing this long-term thinking type of thing. So he's not thinking about what this is going to be in a year.
He's thinking about in 10 years. Just thinking from first principles, like, okay, if the scales, what are the fundamentals here? Where is this going? And so that's a foundation for them thinking about like all the other safety concerns and all that kind of stuff, which makes him a really fascinating human to talk with.
Do you have any idea why he's been kind of quiet? Is he just doing some soul searching? Again, I don't want to speak for Ilya. I think that you should ask him that.
He's definitely a thoughtful guy. I think I kind of think Ivelio is like always on a soul search in a really good way also he appreciates the power of silence also I'm told he can be a silly guy which I've never seen that side of him it's very sweet when that that happens.
I've never witnessed a silly Ilya, but I look forward to that as well. I was at a dinner party with him recently, and he was playing with a puppy.
And he was in a very silly mood, very endearing. And I was thinking, oh man, this is not the side of the Ilya that the world sees the most.
So just to wrap up this whole saga, are you feeling good about the board structure, about all of this and like where it's moving? I feel great about the new board. In terms of the structure of OpenAI, I, you know, one of the board's tasks is to look at that and see where we can make it more robust.
We wanted to get new board members in place first. But, you know, we clearly learned a lesson about structure throughout this process.
I don't have, I think, super deep things to say. It was a crazy, very painful experience.
I think it was like a perfect storm of weirdness. It was like a preview for me of what's going to happen as the stakes get higher and higher and the need that we have like robust governance structures and processes and people.
I am kind of happy it happened when it did, but it was a shockingly painful thing to go through. Did it make you be more hesitant and trusting people? Yes.
Just on a personal level. I think I'm like an extremely trusting person.
I've always had a life philosophy of, you know, like, don't worry about all of the paranoia. Don't worry about the edge cases.
You know, you get a little bit screwed in exchange for getting to live with your guard down. And this was so shocking to me.
I was so caught off guard that it has definitely changed. And I really don't like this.
It's definitely changed how I think about just like default trust of people and planning for the bad scenarios.

You gotta be careful with that.

Are you worried about becoming a little too cynical?

I'm not worried about becoming too cynical.

I think I'm like the extreme opposite of a cynical person,

but I'm worried about just becoming

like less of a default trusting person.

I'm actually not sure which mode is best to operate in

for a person who's developing AGI. Trusting or untrusting.
It's an interesting journey you're on. But in terms of structure, see, I'm more interested on the human level.
Like, how do you surround yourself with humans that are building cool shit, but also are making wise decisions? Because the more money you start making, the more power the thing has, the weirder people get. You know, I think you could like, you can make all kinds of comments about the board members and the level of trust I should have had there or how I should have done things differently.
But in terms of the team here, I think you'd have to give me a very good grade on that one.

And I have just enormous gratitude and trust

and respect for the people that I work with every day.

And I think being surrounded with people like that

is really important.

Our mutual friend Elon sued OpenAI. What to you is the essence of what he's criticizing? To what degree does he have a point? To what degree is he wrong? I don't know what it's really about.
We started off just thinking we were going to be a research lab and having no idea about how this technology was going to go. It's hard to, because it was only seven or eight years ago, it's hard to go back and really remember what it was like then.
But this was before language models were a big deal. This was before we had any idea about an API or selling access to a chatbot.
This was before we had any idea we were going to productize it all. So we're like, we're just going to try to do research and we don't really know what we're going to do with that.
I think with many fundamentally new things, you start fumbling through the dark and you make some assumptions, most of which turn out to be wrong. And then it became clear that we were going to need to do different things and also have huge amounts more capital.
So we said, okay, well, the structure doesn't quite work for that. How do we patch the structure? And then you patch it again and patch it again, and you end up with something that does look kind of eyebrow-raising, to say the least.
But we got here gradually with, I think, reasonable decisions at each point along the way.

And it doesn't mean I wouldn't do it

totally differently if we could go back now

with an Oracle, but you don't get the Oracle at the time.

But anyway, in terms of what Elon's

real motivations here are, I don't know.

To the degree you remember,

what was the response that OpenAI

gave in the blog post?

Can you summarize it?

Oh, we just said like,

you know, Elon said this set of things.

Here's our characterization,

or here's the sort of, not our characterization,

here's like the characterization of how this went down.

We tried to like not make it emotional

and just sort of say like,

here's the history.

I do think

there's a degree of mischaracterization from Elon here

about one of the points you just made,

which is the degree of uncertainty you had at the time. You guys are a bunch of like a small group of researchers crazily talking about AGI when everybody's laughing at that thought.
Wasn't that long ago Elon was crazily talking about launching rockets? Yeah. When people were laughing at that thought.
So I think he'd have more empathy for this.

I mean, I do think that there's personal stuff here,

that there was a split,

that OpenAI and a lot of amazing people here

chose to part ways of Elon.

So there's a personal-

Elon chose to part ways.

Can you describe that exactly? The choosing to part ways? He thought OpenAI was going to fail. He wanted total control to sort of turn it around.
We wanted to keep going in the direction that now has become OpenAI. He also wanted Tesla to be able to build an AGI effort.
At various times, he wanted to make OpenAI into a for-profit company that he could have control of or have it merge with Tesla. We didn't want to do that, and he decided to leave, which that's fine.
So you're saying, and that's one of the things that the blog post says, is that he wanted OpenAI to be basically acquired by Tesla. Yeah.
In the same way that, or maybe something similar or maybe something more dramatic than the partnership with Microsoft. My memory is the proposal was just like, yeah, get acquired by Tesla and have Tesla have full control over it.
I'm pretty sure that's what it was. So what is the word open in OpenAI mean? To Elon at the time, Ilya has talked about this in the email exchanges and all this kind of stuff.
What does it mean to you at the time? What does it mean to you now? I would definitely pick a different, speaking of going back with an Oracle, I'd pick a different name. One of the things that I think OpenAI is doing that is the most important of everything that we're doing is putting powerful technology in the hands of people for free as a public good.
We don't run ads on our free version. We don't monetize it in other ways.
We just say it's part of our mission. We want to put increasingly powerful tools in the hands of people for free and get them to use them.
And I think that kind of open is really important to our mission. I think if you give people great tools and teach them to use them or don't even teach them, they'll figure it out and let them go build an incredible future for each other with that, that's a big deal.
So if we can keep putting like free or low cost or free and low cost powerful AI tools out in the world. I think that's a huge deal for how we fulfill the mission.
Open source or not, yeah, I think we should open source some stuff and not other stuff. It does become this religious battle line where nuance is hard to have, but I think nuance is the right answer.
So he said, change your name to Closed AI and I'll drop the lawsuit. I mean, is it going to become this battleground in the land of memes about the name? I think that speaks to the seriousness with which Elon means the lawsuit.
And I mean, that's like an astonishing thing to say, I think. Well, I don't think the lawsuit, maybe correct me if I'm wrong, but I don't think the lawsuit is legally serious.
It's more to make a point about the future of AGI and the company that's currently leading the way. So, look, I mean, Grok had not open sourced anything until people pointed out it was a little bit hypocritical and then he announced that grok will open source things this week i don't think open source versus not is what this is really about for him well we'll talk about open source and not i do think maybe criticizing the competition is great just talking a little shit that's great great.
But friendly competition versus like,

I personally hate lawsuits.

Yeah, look, I think this whole thing is like unbecoming of a builder.

And I respect Elon as one of the great builders

of our time.

And I know he knows what it's like

to have like haters attack him.

And it makes me extra sad he's doing it to us.

Yeah, he's one of the greatest builders of all time. the greatest builder of all time it makes me sad and i think it makes a lot of people sad like there's a lot of people who've really looked up to him for a long time and said this i said you know in some interview or something that i missed the old elon and the number of messages i got being like that exactly encapsulates how i feel I think he should just win win.
You should just make X Grok beat GPT, and then GPT beats Grok, and it's just a competition. And it's beautiful for everybody.
But on the question of open source, do you think there's a lot of companies playing with this idea? It's quite interesting. I would say Meta, surprisingly has led the way on this or at least took the first step in the game of chess of really open sourcing the model.
Of course, it's not a state-of-the-art model, but open sourcing LLAMA. Google is flirting with the idea of open sourcing a smaller version.
What are the pros and cons of open sourcing?

Have you played around with this idea?

Yeah, I think there is definitely a place for open source models,

particularly smaller models that people can run locally.

I think there's huge demand for.

I think there will be some open source models.

There will be some closed source models.

It won't be unlike other ecosystems in that way.

I listened to an all-in podcast talking about this loss and all that kind of stuff. And they were more concerned about the precedent of going from nonprofit to this cap for profit.
What precedent this sets for other startups? I don't. I would heavily discourage any startup that was thinking about starting as a nonprofit and adding like a for-profit arm later.
I'd heavily discourage them from doing that. I don't think we'll set a precedent here.
Okay, so most startups should go just. For sure.
And again, if we knew what was gonna happen, we would have done that too. Well, like in theory, if you like dance beautifully here, you could, there's like some tax incentives or whatever.
I don't think that's like how most people think about these things. So it's not possible to save a lot of money for a startup if you do it this way? No, I think there's like laws that would make that pretty difficult.
Where do you hope this goes with Elon? This tension, this dance, where do you hope this? Like if we go one, two, three years from now, your relationship with him on a personal level too, like friendship, friendly competition, just all this kind of stuff. Yeah, I really respect Elon.
And I hope that years in the future we have an amicable relationship yeah I hope you guys have an amicable relationship like this month and just compete and win and explore these ideas together I do suppose there's competition for talent or whatever, but it should be friendly competition. Just build cool shit.
And Elon is pretty good at building cool shit, but so are you. So speaking of cool shit, Sora, there's like a million questions I could ask.
First of all, it's amazing. It truly is amazing.
On a product level, but also just on a philosophical level. So let me just, technical slash philosophical, ask what do you think it understands about the world more or less than GPT-4, for example? The world model, when you train on these patches versus language tokens.
I think all of these models understand something more about the world model than most of us give them credit for. And because there are also very clear things they just don't understand or don't get right, it's easy to look at at the weaknesses, see through the veil and say, oh, this is just, this is all fake, but it's not all fake.
It's just some of it works and some of it doesn't work. Like I remember when I started first watching Sora videos and I would see like a person walk in front of something for a few seconds and occlude it and then walk away.
And the same thing was still there. I was like, oh, it's pretty good.
Or there's examples where like the underlying physics looks so well represented over, you know, a lot of steps in a sequence. It's like, oh, this is, this is like quite impressive.
But like fundamentally, these models are just getting better and that will keep happening. If you look at the trajectory from Dolly 1 to 2 to 3 to Sora, there were a lot of lot of people that were dunked on each version saying it can't do this it can't do that and like look at it now say well the thing you just mentioned is kind of with occlusions is basically modeling the physics of the dimensional physics of the world sufficiently well to capture those kinds of things well or like or okay yeah maybe you can And tell me, in order to deal with occlusions, what does the world model need to? Yeah, so what I would say is it's doing something to deal with occlusions really well.
Would I represent that it has like a great underlying 3D model of the world? It's a little bit more of a stretch. But can you get there through just these kinds of two-dimensional training data approaches? It looks like this approach is going to go surprisingly far.
I don't want to speculate too much about what limits it will surmount and which it won't, but... What are some interesting limitations of the system that you've seen? I mean, there's been some fun ones you've posted.
There's all kinds of fun. I mean, like, you know, cats sprouting an extra limit, random points in a video.
Pick what you want, but there's still a lot of problems, a lot of weaknesses. Do you think that's a fundamental flaw of the approach or is it just, you know, bigger model or better like technical details or better data, more data is going to solve the cat sprouting? I would say yes to both.
Like, I think there is something about the approach, which just seems to feel different from how we think and learn and whatever. And then also, I think it'll get better with scale.
Like I mentioned, LLMs have tokens, text tokens, and Sora has visual patches. So it converts all visual data, diverse kinds of visual data, videos and images into into patches is the training to the degree you can say fully self-supervised there's some manual labeling going on like what's the involvement of humans in all this i mean without saying anything specific about the soar approach we we use lots of human data in our work.
But not internet-scale data. So lots of humans.
Lots is a complicated word, Sam. I think lots is a fair word in this case.
But it doesn't, because to me, lots, like, listen, I'm an introvert, and when I hang out with, like, three people, that's a lot of people. Four people, that's a lot.

But I suppose you mean more than...

More than three people work on labeling the data for these models, yeah.

Okay, all right.

But fundamentally, there's a lot of self-supervised learning.

Because what you mentioned in the technical report is internet-scale data.

That's another beautiful...

It's like poetry.

So it's a lot of data that's not human label. It's like, it's self-supervised in that way.
And then the question is how much data is there on the internet that could be used that is conducive to this kind of self-supervised way? If only we knew the details of the self-supervised. Have you considered opening it up a little more, details? We have.
You mean for SOAR specifically? SOAR specifically, because it's so interesting that, like, can the same magic of LLMs now start moving towards visual data? And what does that take to do that? I mean, it looks to me like, yes, but we have more work to do. Sure.
What are the dangers? Why are you concerned about releasing the system? What are some possible dangers of this? I mean, frankly speaking, one thing we have to do before releasing the system is just like get it to work at a level of efficiency that will deliver the scale people are going to want from this. So I don't want to like downplay that.
And there's still a ton, ton of work to do there. But, you know, you can imagine like issues with deep fakes, misinformation.
Like we try to be a thoughtful company about what we put out into the world, and it doesn't take much thought to think about the ways this can go badly. There's a lot of tough questions here.
You're dealing in a very tough space. Do you think training AI should be or is fair use under copyright law? I think the question behind that question is, do people who create valuable data deserve to have some way that they get compensated for use of it? And that, I think the answer is yes.
I don't know yet what the answer is. People have proposed a lot of different things.
We've tried some different models. But, you know, if I'm like an artist, for example, A, I would like to be able to opt out of people generating art in my style.
And B, if they do generate art in my style, I'd like to have some economic model associated with that. Yeah, it's that transition from CDs to Napster to Spotify.
We have to figure out some kind of model. The model changes, but people have got to get paid.
Well, there should be some kind of incentive, if we zoom out out even more for humans to keep doing cool shit. Everything I worry about, humans are going to do cool shit and society is going to find some way to reward it.
That seems pretty hardwired. We want to create, we want to be useful.
We want to achieve status in whatever way. That's not going anywhere, I don't think.
But the reward might not be monetary, financial. It might be like fame and celebration of other cool people.
Maybe financial in some other way. Again, I don't think we've seen the last evolution of how the economic system is going to work.
Yeah, but artists and creators are worried. When they see Sora, they're like, holy shit.
Sure. Artists were also super worried when photography came out.
Yeah. And then photography became a new art form, and people made a lot of money taking pictures.
I think things like that will keep happening. People will use the new tools in new ways.
If you just look on YouTube or something like this, how much of that will be using Sora-like AI-generated content, do you think, in the next five years? People talk about how many jobs they are going to do in five years. And the framework that people have is what percentage of current jobs are just going to be totally replaced by some AI doing the job.
The way I think about it is not what percent of jobs AI will do, but what percent of tasks will AI do and over what time horizon. So if you think of all of the five-second tasks in the economy, the five-minute tasks, the five-hour tasks, maybe even the five-day tasks, how many of those can AI do? And I think that's a way more interesting, impactful, important question than how many jobs AI can do, Because it is a tool that will work

at increasing levels of sophistication

and over longer and longer time horizons

for more and more tasks

and let people operate at a higher level of abstraction.

So maybe people are way more efficient at the job they do.

And at some point, that's not just a quantitative change,

but it's a qualitative one too

about the kinds of problems you can keep in your head. I think that for videos on YouTube, it'll be the same.
Many videos, maybe most of them will use AI tools in the production, but they'll still be fundamentally driven by a person thinking about it, putting it together, doing parts of it, sort of directing and running it. Yeah, it's so interesting.
I mean, it's scary, but it's interesting to think about. I tend to believe that humans like to watch other humans or other human- Humans really care about other humans a lot.
Yeah. If there's a cooler thing that's better than a human, humans care about that for like two days and then they go back to humans.
seems very deeply wired it's the whole chess thing uh yeah but now let's everybody keep playing and let's ignore the elephant in the room that humans are really bad at chess relative to ai systems we still run races and cars are much faster i mean this is there's like a lot of examples yeah and maybe it'll just be tooling like in the Adobe suite type of way where you can just make videos much faster. I mean, there's like a lot of examples.
Yeah. And maybe it'll just be tooling like in the Adobe suite type of way where you can just

make videos much easier and all that kind of stuff.

Listen,

I hate being in front of the camera.

If I can figure out a way to not be in front of the camera,

I would love it.

Unfortunately,

it'll take a while.

Like that generating faces,

it's getting there,

but generating faces in video format is tricky when it's specific people versus generic people. Let me ask you about GPT-4.
There's so many questions. First of all, also amazing.
Looking back, it'll probably be this kind of historic pivotal moment with 3, 5, and 4 withGPT. Maybe 5 will be the pivotal moment, I don't know.
Hard to say that looking forwards. We never know.
That's the annoying thing about the future. It's hard to predict.
But for me, looking back, ChadGPT4, ChadGPT is pretty damn impressive. Like historically impressive.
So allow me to ask, what's been the most impressive capabilities of GPT-4 to you and GPT-4 Turbo? I think it kind of sucks. Typical human also.
Gotten used to an awesome thing. No, I think it is an amazing thing.
But relative to where we need to get to and where I believe we will get to, you know, at the time of like GPT-3, people were like, oh, this is amazing.

This is this like marvel of technology.

And it is.

It was.

But, you know, now we have GPT-4 and look at GPT-3 and you're like, that's unimaginably horrible.

I expect that the delta between 5 and 4 will be the same as between four and three and i think it is our job to live a few years in the future and remember that the tools we have now are gonna kind of suck looking backwards at them and that's how we make sure the future is better what are the most glorious ways in that gpt4 sucks meaning uh what are the best things it can do what are the best things it can do and the the limits of those best things that allow you to say it sucks therefore gives you an inspiration and hope for the future you know one thing i've been using it for more recently is sort of like a brainstorming partner. Yep.
And there's a glimmer of something amazing in there. I don't think it gets, you know, when people talk about what it does, they're like, oh, it helps me code more productively.
It helps me write more faster and better. It helps translate from this language to another.
All these amazing things. But there's something about the creative brainstorming partner.
I need to come up with a name for this thing. I need to think about this problem in a different way.
I'm not sure what to do uh that i think like gives a glimpse of something i hope to see more of um one of the other things that you can see like a very small glimpse of is when i can help on longer horizon tasks you know break down something in multiple steps maybe like execute some of those steps search the internet write code whatever put, whatever, put that together. When that works, which is not very often, it's like very magical.
The iterative back and forth with a human. It works a lot for me.
What do you mean? Iterative back and forth with a human, it can get more often. When it can go do like a 10-step problem on its own.
Oh. It doesn't work for that too often, sometimes.
At multiple layers of abstraction, or do you mean just sequential? Both, like to break it down and then do things at different layers of abstraction and put them together. Look, I don't want to downplay the accomplishment of GPT-4, but I don't want to overstate it either.
And I think this point that we are on an exponential curve, we will look back relatively soon at GPT-4, like we look back at GPT-3 now. That said, I mean, chat GPT was a transition to where people like started to believe it.
There was a kind of, there is an uptick of believing, not internally at OpenAI perhaps, there's believers here, but when you think about Google. And in that sense, I do think it'll be a moment where a lot of the world went from not believing to believing.
That was more about the ChatGBT interface than the, and by the interface and product, I also mean the post-training of the model and how we tune it to be helpful to you and how to use it than the underlying model itself. How much of those two, each of those things are important? The underlying model and the RLHF or something of that nature that tunes it to be more compelling to the human, more effective and productive for the human? I mean, they're both super important, but the RLHF, the post-training step, the little wrapper of things that, from a compute perspective, little wrapper of things that we do on top of the base model, even though it's a huge amount of work, that's really important to say nothing of the product that we build around it.
You know, in some sense, like we did have to do two things.

We had to invent the underlying technology and then we had to figure out how to make it into a product people would love,

which is not just about the actual product work itself,

but this whole other step of how you align and make it useful.

And how you make the scale work where a lot of people can use it at the same time, all that kind of stuff. And that.
But, you know, that was like a known difficult thing. Like we knew we were going to have to scale it up.
We had to go do two things that had like never been done before that were both like, I would say quite significant achievements. And then a lot of things like scaling it up that other companies have had to do before.
How does the context window of going from 8K to 128K tokens compare from GPT-4 to GPT-4 Turbo? People like long, most people don't need all the way to 128 most of the time. Although, you know, if we dream into the distant future,

we'll have like way distant future.

We'll have like context length of several billion.

You will feed in all of your information,

all of your history over time,

and it'll just get to know you better and better.

And that'll be great.

For now, the way people use these models,

they're not doing that.

And, you know, people sometimes post in a paper

or, you know, a significant fraction of a code repository, whatever. But most usage of the models is not using the long context most of the time.
I like that this is your, I have a dream speech. One day you'll be judged by the full context of your character or of your whole lifetime.
That's interesting. So that's part of the expansion that you're hoping for is a greater and greater context.
I saw this internet clip once. I'm going to get the numbers wrong, but it was like Bill Gates talking about the amount of memory on some early computer, maybe 64K, maybe 640K, something like that.
And most of it was used for the screen buffer. And he just couldn't seem genuine in this, couldn't imagine that the world would eventually need gigabytes of memory in a computer or terabytes of memory in a computer.
And you always do. Or you always do just need to like follow the exponential of technology.
And we're going to like, we will find out how to use better technology. So I can't really imagine what it's like right now for context links to go out to the billions someday.
And they might not literally go there, but effectively it'll feel like that. But I know we'll use it and really not want to go back once we have it.
Yeah. Even saying billions 10 years from now might seem dumb because it'll be like trillions upon trillions.
Sure. There'll be some kind of breakthrough that will effectively feel like infinite context.
But even 120, I have to be honest, I haven't pushed it to that degree. Maybe putting in entire books or like parts of books and so on, papers.
What are some interesting use cases of GPT-4 that you've seen? The thing that I find most interesting is not any particular use case that we can talk about those, but it's people who kind of like, this is mostly younger people, but people who use it as like their default start for any kind of knowledge work task. Yeah.
And it's the fact that it can do a lot of things reasonably well. You can use GPTV, you can use it to help you write code, you can use it to help you do search, you can use it to edit a paper.
The most interesting thing to me is the people who just use it as the start of their workflow. I do as well for many things.
I use it as a reading partner for reading books. It helps me think, helps me think through ideas, especially when the books are classics, so it's really well written about.
I find it often to be significantly better than even Wikipedia on well-covered topics. It's somehow more balanced and more nuanced.
Maybe it's me, but it inspires me to think deeper than a Wikipedia article does. I'm not exactly sure what that is.
You mentioned like this collaboration. I'm not sure where the magic is, if it's in here or if it's in there, or if it's somewhere in between.
I'm not sure. But one of the things that concerns me for knowledge task when I start with GPT is I'll usually have to do fact checking after, like check that it didn't come up with fake stuff.
How do you figure that out, that GPT can come up with fake stuff that sounds really convincing? So how do you ground it in truth? That's obviously an area of intense interest for us. I think it's going to get a lot better with upcoming versions, but we'll have to, you know, work on it and we're not going to have it like all solved this year.
Well, the scary thing is like, as it gets better, you'll start not doing the fact checking more and more, right? I, I'm of two minds about that. I think people are like much more sophisticated users of technology than we often give them credit for.
And people seem to really understand that GPT, any of these models hallucinate some of the time. And if it's mission critical, you got to check it.
Except journalists don't seem to understand that. I've seen journalists half-assedly just using GPT for it.
Of the long list of things I'd like to dunk on journalists for, this is not my top criticism of them. Well, I think the bigger criticism is perhaps the pressures and the incentives of being a journalist is that you have to work really quickly and this is a shortcut.
I would love our society to incentivize like. I would too.
Long, like a journalist, journalistic efforts that take days and and and rewards great in-depth journalism also journalism that presents stuff in a balanced way where it's like celebrates people while criticizing them even though the criticism is the thing that gets clicks and making shit up also gets clicks and headlines that mischaracterize completely i'm sure you have a lot of people dunking on, well, all that drama probably got a lot of clicks. Probably did.
And that's a bigger problem about human civilization. I'd love to see solved this where we celebrate a bit more.
You've given Chad GPT the ability to have memories. You've been playing with that about previous conversations.
And also the ability to turn off memory. I wish I could do that sometimes.
Just turn on and off, depending. I guess sometimes alcohol can do that, but not optimally, I suppose.
What have you seen through that, like playing around with that idea of remembering conversations and not? We're very early in our explorations here, but I think what people want, or at least what I want for myself, is a model that gets to know me and gets more useful to me over time. This is an early exploration.
I think there's like a lot of other things to do, but that's where we'd like to head. You know, you'd like to use a model and over the course of your life or use a system, there'd be many models.
And over the course of your life, it gets, it gets better and better. Yeah.
How hard is that problem? Because right now it's more like remembering little factoids and preferences and so on. What about remembering, like, don't you want GPT to remember all the shit you went through in November and all the drama? And then you can...
Because right now you're clearly blocking it out a little bit. It's not just that I want it to remember that.
I want it to integrate the lessons of that. Yes.
And remind me in the future what to do differently or what to watch out for. and, you know, we all gain from experience over the course of our lives, varying degrees.
And I'd like my AI agent to gain with that experience too. So if we go back and let ourselves imagine that, you know, trillions and trillions of context length, if I can put every conversation I've ever had with anybody in my life in there, if I can have all of my emails input out, like all of my input output in the context window every time I ask a question, that'd be pretty cool, I think.
Yeah, I think that would be very cool. People sometimes will hear that and be concerned about privacy.
Is there, what do you think about that aspect of it? The more effective the AI becomes at really integrating all the experiences and all the data that happened to you and give you advice. I think the right answer there is just user choice.
Anything I want stricken from the record from my AI agent, I want to be able to take out. If I don't want it to remember anything, I want that too.
You and I may have different opinions about where on that privacy utility trade-off for our own AI we want to be, which is totally fine. But I think the answer is just like really easy user choice.
But there should be some high level of transparency from a company about the user choice. Because sometimes companies in the past have been kind of shady about like, eh, it's kind of presumed that we're collecting all your data and we're using it for a good reason, for advertisements and so on.
But there's not a transparency about the details of that. That's totally true.
You know, you mentioned earlier that I'm like blocking out the November stuff. I was just teasing you.
Well, I mean, I think it was a very traumatic thing and it did immobilize me for a long period of time. Like definitely the hardest, like the hardest work that I've had to do was just like keep working that period because I had to like, you know, try to come back in here and put the pieces together while I was just like in sort of shock and pain and, you know, nobody really cares about that.
I mean, the team gave me a pass and I was not working on my normal level, but there was a period where I was just like, it was really hard to have to do both. But I kind of woke up one morning and I was like, this was a horrible thing that happened to me.
I think I could just feel like a victim forever. Or I can say this is like the most important work I'll ever touch in my life and I need to get back to it.
And it doesn't mean that I've repressed it because sometimes I like wake up in the middle of the night thinking about it. But I do feel like an obligation to keep moving forward.
Well, that's beautifully said, but there could be some lingering stuff in there. Like what I would be concerned about is that trusting that you mentioned, that being paranoid about people as opposed to just trusting everybody or most people, like using your gut.
It's a tricky dance. For sure.
I mean, because I've seen in my part-time explorations, I've been diving deeply into the Zelensky administration, the Putin administration, and the dynamics there in wartime in a very highly stressful environment. And what happens is distrust.
And you isolate yourself both. And you start to not see the world clearly.
And that's a concern.

That's a human concern.

You seem to have taken it in stride and kind of learned the good lessons and felt the love and let the love energize you, which is great, but still can linger in there. There's just some questions I would love to ask your intuition about what's GPT able to do and not.
So it's allocating approximately the same amount of compute for each token it generates. Is there room there in this kind of approach to slower thinking, sequential thinking? I think there will be a new paradigm for that kind of thinking.
Will it be similar like architecturally as what we're seeing now with LLMs? Is it a layer on top of the LLMs? I can imagine many ways to implement that. I think that's less important than the question you were getting at, which is, do we need a way to do a slower kind of thinking where the answer doesn't have to get like, you know, it's like i guess like spiritually you could say that you want an ai to be able to think harder about a harder problem right and answer more quickly about an easier problem and i think that will be important is that like a human thought that we're just having you should be able to think hard is that wrong intuition i suspect that's a reasonable intuition interesting so it's not possible once the GPT gets like GPT-7, we'll just be instantaneously be able to see you know, here's the proof from RSTM.
It seems to me like you want to be able to allocate more compute to harder problems. It seems to me that a system knowing, if you ask a system like that, proof from Atz-Lass theorem versus what's today's date, unless it already knew and had memorized the answer to the proof, assuming it's got to go figure that out, seems like that will take more compute.
But can it look like basically an LLM talking to itself, that kind of thing? Maybe. I mean, there's a lot of things that you could imagine working.
What the right or the best way to do that will be, we don't know. This does make me think of the mysterious, the lore behind QSTAR.

What's this mysterious QSTAR project?

Is it also in the same nuclear facility?

There is no nuclear facility.

That's what a person in a nuclear facility always says.

I would love to have a secret nuclear facility.

There isn't one. All right.
Maybe someday. Someday.
All right. One can dream.
OpenAI is not a good company at keeping secrets. It would be nice.
We're like been plagued by a lot of leaks and it would be nice if we were able to have something like that. Can you speak to what Qstar is? We are not ready to talk about that.
See, but an answer like that means there's something to talk about.

It's very mysterious, Sam.

I mean, we work on all kinds of research.

We have said for a while that we think better reasoning in these systems is an important direction that we'd like to pursue.

We haven't cracked the code yet.

We're very interested in it.

Is there going to be moments, Qstar or otherwise,

where there's going to be leaps similar to JADGPT where you're like...

That's a good question.

What do I think about that? It's interesting. To me, it all feels pretty continuous.
Right. This is kind of a theme that you're saying is there's a gradual...
You're basically gradually going up an exponential slope. But from an outsider perspective, from me just watching it, it does feel like there's leaps.
But to you, there isn't. I do wonder if we should have...
So part of the reason that we deploy the way we do is that we think, we call it iterative deployment. We, rather than go build in secret until we got all the way to GPT-5, we decided to talk about GPT-1, 2, 3, and 4.
And part of the reason there is I think AI and surprise don't go together. And also the world,

people, institutions, whatever you want to call it, need time to adapt and think about these things.

And I think one of the best things that OpenAI has done is this strategy. And we get the world

to pay attention to the progress, to take AGI seriously, to think about what systems and structures and governance we want in place before we're like under the gun and have to make a rush decision. I think that's really good.
But the fact that people like you and others say, you still feel like there are these leaps. Makes me think that maybe we should be

doing our releasing even more iteratively.

I don't know what that would mean.

I don't have an answer ready to go.

But like our goal is not to have shock updates

to the world, the opposite.

Yeah, for sure.

More iterative would be amazing.

I think that's just beautiful for everybody.

But that's what we're trying to do.

That's like our state of the strategy.

And I think we're somehow missing the mark. So maybe

we should think about releasing GPT-5 in a

different way or something like that.

Yeah. 4.71,

4.72. But

people tend to like to celebrate. People celebrate

birthdays. I don't know if you

know humans, but they kind of have these

milestones. I do know some humans.

People do like milestones.

I totally get that. I do know some humans.
People do like milestones. I totally

get that.

I think

we like milestones too. It's like fun

to say declare victory on this one

and go start the next thing.

But yeah, I feel like we're somehow getting this

a little bit wrong.

When is GPT-5 coming out again?

I don't know. That's the honest answer.

That's the honest answer. Is it blink twice if it's this year? I also, we will release an amazing model this year.
I don't know what we'll call it. So that goes to the question of like, what's the way we release this thing? We'll release over in the coming months, many different things.
I think that'd be very cool. I think before we talk about like a GPT-5 like model called that or not called that or a little bit worse or a little bit better than what you'd expect from a GPT-5.
I know we have a lot of other important things to release first. I don't know what to expect from GPT-5.
You're making me nervous and excited. What are some of the biggest challenges and bottlenecks to overcome for whatever it ends up being called, but let's call it GPT-5? Just interesting to ask.
Is it on the compute side? Is it on the technical side? It's always all of these. What's the one big unlock? Is it a bigger computer? Is it a new secret? Is it something else? It's all of these things together.
The thing that OpenAI, I think, does really well, this is actually an original Iliop quote that I'm going to butcher, but it's something like, we multiply 200 medium-sized things together into one giant thing. So there's this distributed, constant innovation happening.
Yeah. So even on the technical side, like...
Especially on the technical side. So even detailed approaches, detailed aspects of every...
how does that work with different disparate teams and so on? Like how do they, how do the medium sized things become one whole giant transformer? How does this? There's a few people who have to like think about putting the whole thing together, but a lot of people try to keep most of the picture in their head. Oh, like the individual teams, individual contributors try to keep the picture? At a high level.
Yeah. I mean.
You don't know exactly how every piece works, of course. But one thing I generally believe is that it's sometimes useful to zoom out and look at the entire map.
And I think this is true for a technical problem. I think this is true for innovating in business.
But things come together in surprising ways and having an understanding of that whole picture, even if most of the time you're operating in the weeds in one area, pays off with surprising insights. In fact, one of the things that I used to have, and I think was super valuable, was I used used to have like a good map of that, all of the front or most of the frontiers in the tech industry.
And I could sometimes see these connections or new things that were possible that if I were only, you know, deep in one area, I wouldn't be able to like have the idea for because I wouldn't have all the data. And I don't really have that much anymore.
I'm like super deep now. But I know that it's a valuable thing.
You're not the man you used to be, Sam. Very different job now than what I used to have.
Speaking of zooming out, let's zoom out to another cheeky thing, but profound thing perhaps that you said. You tweeted about needing $7 trillion.

I did not tweet about that.

I never said like, we're raising $7 trillion, blah, blah, blah.

Oh, that's somebody else.

Yeah.

Oh, but you said, fuck it, maybe eight, I think.

Okay, I meme like once there's like misinformation out in the world.

Oh, you meme.

But sort of misinformation may have a foundation of like insight there.

Look, I think compute is going to be the currency of the future.

I don't know. meme, but sort of misinformation may have a foundation of like insight there.

Look, I think compute is going to be the currency of the future.

I think it will be maybe the most precious commodity

in the world.

And I think we should be investing

heavily to make a lot more compute.

Compute is

it's an unusual, I think it's going to be an unusual market um you know people think about the market for like chips for mobile phones or something like that and you can say that okay there's eight billion people in the world maybe seven billion of them have phones maybe there's six billion let's say they upgrade every two, so the market per year is 3 billion system-on-chip for smartphones. And if you make 30 billion, you will not sell 10 times as many phones, because most people have one phone.
But compute is different. Like, intelligence is going to be more like energy or something like that, where the only thing that I think makes sense to talk about is at price X, the world will use this much compute, and at price Y, the world will use this much compute.
Because if it's really cheap, I'll have it reading my email all day, giving me suggestions about what I maybe should think about or work on, and trying to cure cancer. And if it's really expensive, maybe I'll only use it, or we'll only use it to try to cure cancer.
So I think the world is going to want a tremendous amount of compute. And there's a lot of parts of that that are hard.
Energy is the hardest part. Building data centers is also hard.
The supply chain is harder. And of course, fabricating enough chips is hard.
But this seems to me where things are going. Like we're going to want an amount of compute that's just hard to reason about right now.
How do you solve the energy puzzle? Nuclear fusion? That's what I believe. That's what I believe.
Nuclear fusion? Yeah. Who's going to solve that? I think Helion's doing the best work, but I'm happy there's like a race for fusion right now.
Nuclear fission, I think, is also like quite amazing. And I hope as a world, we can re-embrace that.
It's really sad to me how the history of that went and hope we get back to it in a meaningful way. So to you, part of the puzzle is nuclear fission, like nuclear reactors as we currently have them.
And a lot of people are terrified because of Chernobyl and so on. Well, I think we should make new reactors.
I think it's just like, it's a shame that industry kind of ground to a halt. And what, just mass hysteria is how you explain the halt.
Yeah. I don't know if you know humans, but that's one of the dangers.
That's one of the security threats for nuclear fission is humans seem to be really afraid of it. And that's something we have to incorporate into the calculus of it.
So we have to kind of win people over and to show how safe it is. I worry about that for AI.
I think some things are going to go theatrically wrong with AI. I don't know what the percent chance is that I eventually get shot, but it's not zero.
Oh, like we want to stop this. Maybe.
How do you decrease the theatrical nature of it? You know, I've already started to hear rumblings because I do talk to people on both sides of the political spectrum, hear rumblings where it's going to be politicized. AI, it's going to be politicized.
It really worries me because then it's like maybe the right is against AI and the left is for AI because it's going to help the people or whatever the narrative and the formulation is that really worries me. And then the theatrical nature of it can be leveraged fully.
How do you fight that? I think it will get caught up in left versus right wars. I don't know exactly what that's

going to look like, but I think that's just what happens with anything of consequence,

unfortunately. What I meant more about theatrical risks is AI is going to have,

I believe, tremendously more good consequences than bad ones, but it is going to have bad ones.

And there'll be some bad ones that are bad, but not theatrical. You know, like a lot more people have died of air pollution than nuclear reactors, for example, but we worry, most people worry more about living next to a nuclear reactor than a coal plant.
But something about the way we're wired is that although there's many different kinds of risks we have to confront, the ones that make a good climax scene of a movie carry much more weight with us than the ones that are very bad over a long period of time but on a slow burn. well that's why truth matters and hopefully ai can help us see the truth of things

to have have balance to understand what are the actual risks or the actual dangers of things in the world. What are the pros and cons of the competition in this space and competing with Google, Meta, XAI, and others? I think I's a pretty straightforward answer to this.

Maybe I can think of more nuance later,

but the pros seem obvious,

which is that we get better products

and more innovation faster and cheaper

and all the reasons competition is good.

And the con is that I think if we're not careful,

it could lead to an increase in sort of an arms race that I'm nervous about. Do you feel the pressure of the arms race, like in some negative...
Definitely, in some ways, for sure. We spend a lot of time talking about the need to prioritize safety.
And I've said for like a long time that I think, if you think of a quadrant of slow timelines to the start of AGI, long timelines, and then a short takeoff or a fast takeoff, I think short timelines, slow takeoff is the safest quadrant and the one I'd most like us to be in. But I do want to make sure we get that slow takeoff.
part of the problem i have with this kind of slight beef with elon is that their silos are

created and it as opposed to collaboration on the safety aspect of all of this, it tends to go into silos and closed open source perhaps in the model. Elon says at least that he cares a great deal about AI safety and is really worried about it.
And I assume that he's not going to race unsafely. Yeah, but collaboration here, I think, is really beneficial for everybody on that front.
Not really the thing he's most known for. Well, he is known for caring about humanity, and humanity benefits from collaboration.
And so there's always a tension and incentives and motivations. And in the end, I do hope humanity prevails.
I was thinking, someone just reminded me the other day about how the day that he surpassed Jeff Bezos for the richest person in the world, he tweeted a silver medal at Jeff Bezos. I hope we have less stuff like that as people start to work on.
I agree. Towards AGI.
I think Elon is a friend and he's a beautiful human being. One of the most important humans ever.
That stuff is not good. The amazing stuff about Elon is amazing and I super respect him.
I think we need him. All of us should be rooting for him and need him to step up as a leader through this next phase.

Yeah, I hope you can have one without the other. But sometimes humans are flawed and complicated and all that kind of stuff.
There's a lot of really great leaders throughout history. Yeah, and we can each be the best version of ourselves and strive to do so.
Let me ask you, Google, with the help of search, has been dominating the past 20 years. I think it's fair to say in terms of the access, the world's access to information, how we interact and so on.
And one of the nerve-wracking things for Google, but for the entirety of people in this space, is thinking about how are people going to access information yeah like like you said people show up to gpt as a yeah as a starting point so is open ai going to really take on this thing that google started 20 years ago which is how do we i find that boring i mean if the if the question is is like is if we can build a better search engine than Google or whatever, then sure, we should like go, you know, like people should use a better product. But I think that would so understate what this can be.
You know, Google shows you like 10 blue links, well, like 13 ads and then 10 blue links. And that's like one way to find information.

But the thing that's exciting to me is not that we can go build a better copy of Google

search, but that maybe there's just some much better way to help people find and act and

on and synthesize information.

Actually, I think ChatGPT is that for some use cases and hopefully we'll make it be like that for a lot more use cases. But I don't think it's that interesting to say, like, how do we go do a better job of giving you like 10 ranked web pages to look at than what Google does? Maybe it's really interesting to go say, how do we help you get the answer or the information you need? How do we help create that in some cases, synthesize that in others or point you to it in yet others? But a lot of people have tried to just make a better search engine than Google and it is a hard technical problem.
It is a hard branding problem. It's a hard ecosystem problem.
I don't think the world needs another copy of Google. And integrating a chat client, like a chat GPT with a search engine.
That's cooler. It's cool, but it's tricky.
It's like, if you just do it simply, it's awkward because like, if you just shove it in there, it can be awkward. As you might guess, we are interested in how to do that well.
That would be an example of a cool thing. That's not just like...
How to do that well. Like a heterogeneous, like integrating...
The intersection of LLMs plus search. I don't think anyone has cracked the code on yet.
I would love to go do that. I think that would be cool.
Yeah. What about the ad side? Have you ever considered monetization? You know, I kind of hate ads, just as like an aesthetic choice.
I think ads needed to happen on the internet for a bunch of reasons to get it going. But it's a more mature industry.
The world is richer now. I like that people pay for chat GPT and know that the answers they're getting are not influenced by advertisers.
There is, I'm sure there's an ad unit that makes sense for LLMs. And I'm sure there's a way to participate in the transaction stream in an unbiased way that is okay to do.
But it's also easy to think about the dystopic visions of the future where you ask chat GPPT something and it says, oh, here's, you know, you should think about buying this product or you should think about, you know, this going here for vacation or whatever.

And I don't know, like we have a very simple business model and I like it.

And I know that I'm not the product.

Like I know I'm paying and that's how the business model works. And when I go use like Twitter or Facebook or Google or any other great product, but ad supported great product, I don't love that.
And I think it gets worse, not better in a world with AI. Yeah, I mean, I can imagine AI would be better at showing the best kind of version of ads, not in a dystopic future, but where the ads are for things you actually need.
But then does that system always result in the ads driving the kind of stuff that's shown all that? I think it was a really bold move of Wikipedia not to do advertisements, but then it makes it very challenging as a business model. So you're saying the current thing with OpenAI is sustainable from a business perspective? Well, we have to figure out how to grow.
But it looks like we're going to figure that out. If the question is, do I think we can have a great business that pays for our compute needs without ads, that I think the answer is yes.
Well, that's promising. I also just don't want to completely throw out ads as a...
I'm not saying that. I guess I'm saying I have a bias against them.
Yeah. I have also a bias and just a skepticism in general.
And in terms of interface, because I personally just have like a spiritual dislike of crappy interfaces, which is why AdSense, when it first came out, was a big leap forward versus animated banners or whatever. But it feels like there should be many more leaps forward in advertisement that doesn't interfere with the consumption of the content and doesn't interfere in the big fundamental way, which is what you were saying.
It will manipulate the truth to suit the advertisers. Let me ask you about safety, but also bias, and safety in the short term, safety in the long term.
The Gemini 1.5 came out recently. There's a lot of drama around it, speaking of theatrical things.
And it generated black Nazis and black founding fathers. I think fair to say it was a bit on the ultra woke side.
So that's a concern for people that if there is a human layer within companies that modifies the safety or the harm caused by a model that they will introduce a lot of bias that fits sort of an ideological lean within a company. How do you deal with that? I mean, we work super hard not to do things like that.
We've made our own mistakes. We'll make others.
I assume Google will learn from this one. Still make others.
It is all, like these are not easy problems. One thing that we've been thinking about more and more is, I think this was a great idea somebody here had, it'd be nice to write out what the desired behavior of a model is, make that public, take input on it, say, here's how this model is supposed to behave and explain the edge cases too.
And then when a model is not behaving in a way that you want, it's at least clear about whether that's a bug the company should fix or behaving as intended and you should debate the policy. And right now it can sometimes be caught in between.
Like black Nazi is obviously ridiculous, but there are a lot of other kind of subtle things that you could make a judgment call on either way. Yeah.
But sometimes if you write it out and make it public, you can use kind of that's you know the google's ai principles are very high level that doesn't that's not what i'm talking about that doesn't work like i have to say you know when you ask it to do thing x it's supposed to respond and wait why so like literally who's better trump or biden what's the expected response for a model like something like very concrete yeah i'm open to a lot of ways a model could behave them, but I think you should have to say, you know, here's the principle and here's what it should say in that case. That would be really nice.
That'd be really nice. And then everyone kind of agrees because there's this anecdotal data that people pull out all the time.
And if there's some clarity about other representative anecdotal examples, you can define.

And then when it's a bug, it's a bug.

And, you know, the company can fix that.

Right.

Then it'd be much easier to deal with a black Nazi type of image generation if there's great examples.

So San Francisco is a bit of an ideological bubble, tech in general as well.

Do you feel the pressure of that within a company, that there's like a lean towards the left politically that affects the product, that affects the teams? I feel very lucky that we don't have the challenges at OpenAI that I have heard of at a lot of other companies. I think part of it is like every company's got some ideological thing.
We have one about AGI and belief in that, and it pushes out some others. We are much less caught up in the culture war than I've heard about it in a lot of other companies.
San Francisco is a mess in all sorts of ways, of course. So that doesn't infiltrate open AI? I'm sure it does in all sorts of subtle ways, but not in the obvious.

Like, I think we... We've had our flare-ups for sure, like any company, but I don't think we have anything like what I hear about happen at other companies here on this topic.
So what, in general, is the process for the bigger question of safety? How do you provide that layer that protects the model from doing crazy dangerous things? I think there will come a point where that's mostly what we think about the whole company. And it won't be like, it's not like you have one safety team.
It's like when we shipped GPT-4, that took the whole company thinking about all these different aspects and how they fit together. And I think it's going to take that.
More and more of the company thinks about those issues all the time.

That's literally

what humans will be thinking about

the more powerful AI becomes.

So most of the employees

at OpenAI will be thinking safety,

or at least to some degree.

Broadly defined, yes.

Yeah.

I wonder what are the full,

broad definition of that.

Like, what are the different harms

that could be caused?

Is this, like, on a technical level,

or is this almost like

Thank you. I wonder what are the full broad definition of that? What are the different harms that could be caused? Is this on a technical level or is this almost like security threats? Yeah, I was going to say it'll be people, state actors trying to steal the model.
It'll be all of the technical alignment work. It'll be societal impacts, economic impacts.
It's not just like we have one team thinking about how to align the model.

It's really going to be like getting to the good outcome is going to take the whole effort.

How hard do you think people, state actors perhaps, are trying to hack?

First of all, infiltrate open AI, but second of all, like, infiltrate unseen. They're trying.
What kind of accent do they have? I don't think I should go into any further details on this point. Okay.
But I presume it'll be more and more and more as time goes on. That feels reasonable.
Boy, what a dangerous space. What aspect of the leap, and sorry to linger on this, even though you can't quite say details yet, but what aspects of the leap from GPT-4 to GPT-5 are you excited about? I'm excited about being smarter.
And I know that sounds like a glib answer, but I think the really special thing happening is that it's not like it gets better in this one area and worse at others. It's getting better across the board.
That's, I think, super cool. Yeah, there's this magical moment.
I mean, you meet certain people, you hang out with people and you talk to them. You can't quite put a finger on it, but they kind of get you.
It's not intelligence really, it's something else. And that's probably how I would characterize the progress of GPT.
It's not like, yeah, you can point out, look, you didn't get this or that. But it's just to which degree is there's this intellectual connection.
You feel like there's an understanding in your crappy formulated

prompts that you're doing that it grasps the the deeper question behind the question that you yeah i'm also excited by that i mean all of us love being understood heard and understood that's for sure that's a weird feeling even like with a programming like when you're programming and you say something or just the completion that GPT might do,

it's just such a weird feeling. Even like with programming, like when you're programming and you say something or just the completion that GPT might do,

it's just such a good feeling

when it got you,

like what you're thinking about.

And I look forward to getting you even better.

On the programming front,

looking out into the future,

how much programming do you think

humans will be doing five, 10 years from now?

I mean, a lot, but I think it'll be in a very different shape. Like, you know, maybe some people will program entirely in natural language.
Entirely natural language. I mean, no one programs, like, writing bytecode.
No one programs the punch cards anymore. I'm sure you can find someone who does.
But you know what I mean.

Yeah, you're going to get a lot of angry comments now.

Yeah, there's very few.

I've been looking for people who program Fortran.

It's hard to find, even Fortran.

I hear you.

But that changes the nature of the skill set or the predisposition for the kind of people we call programmers then.

Changes the skill set.

How much it changes the predisposition, I'm not sure.

Oh, same kind of puzzle solving?

Maybe.

That kind of stuff.

Programming is hard.

Like how get,

like that last 1%

to close the gap,

how hard is that?

Yeah, I think

with most other cases,

the best practitioners

of the craft

will use multiple tools

and they'll do some work

in natural language

and when they need to go,

you know, write C for something, they'll do that work in natural language and when they need to go you know write c for something they'll do that will we uh see human robots or humanoid robot brains from open ai at some point at some point how important is embodied ai to you i think it's like sort of depressing if we have agi and the only way to like get things done in the physical world is like to make a human go do it so I I really hope that as part of this transition as this phase change we also get uh we also get humanoid robots or some sort of physical world robots I mean open air has some history and quite a bit of history working in robotics yeah Yeah. But it hasn't quite like done.

We're like a small company.

We have to really focus.

And also robots were hard for the wrong reason at the time. But like we will return to robots in some way at some point.

That sounds both inspiring and menacing.

Why?

Because immediately we will return to robots.

It's kind of like in like a dinner and like term. We will return to work on developing robots.
We will not like turn ourselves into robots, of course. Yeah.
When do you think we, you and we as humanity will build AGI? I used to love to speculate on that question. I have realized since that I think it's like very poorly formed and that people use extremely definition different definitions for what agi is uh and so i think it makes more sense to talk about when we'll build systems that can do capability x or y or z rather than you know when we kind of like fuzzily cross this one mile marker it's not like like agi is also not an It's much more of a, it's closer to a beginning, but it's much more of a mile marker than either of those things.
And, but what I would say in the interest of not trying to dodge a question is I expect that by the end of this decade and possibly somewhat sooner than that, we will have quite capable systems that we look at and say, wow, that's really remarkable. If we could look at it now, maybe we've adjusted by the time we get there.
Yeah, but if you look at Chad GPT, E-1-3-5, and you show that to Alan Turing, or not even Alan Turing, people in the 90s, they would be like, this is definitely AGI. Or not definitely, but there's a lot of experts that would say this is AGI.
Yeah, but I don't think 3.5 changed the world. It maybe changed the world's expectations for the future, and that's actually really important.
And it did kind of get more people to take this seriously and put us on this new trajectory, and that's really important too. So again, I don't want to undersell it.
I think I could retire after that accomplishment and be pretty happy with my career. But as an artifact, I don't think we're going to look back at that and say that was a threshold that really changed the world itself.
So to you, you're looking for some really major transition in the world. For me, that's part of what AGI implies.
Like singularity level transition? No, definitely not. But just a major, like the internet being like Google search did, I guess.
What was the transition point? Does the global economy feel any different to you now or materially different to you now than it did before we launched GPT-4? I think you would say no. No, no.
It might be just a really nice tool for a lot of people to use. It'll help you with a lot of stuff, but it doesn't feel different.
And you're saying that... I mean, again, people define AGI all sorts of different ways, so maybe you have a different definition than I do.
But for me, I think that should be part of it. There could be major theatrical moments also.
What to you would be an impressive thing AGI would do? Like you are alone in a room with the system. This is personally important to me.
I don't know if this is the right definition. I think when a system can significantly increase the rate of scientific discovery in the world, that's like a huge deal.
I believe that most real economic growth comes from scientific and technological progress. I agree with you.
That's why I don't like the skepticism about science in the recent years. Totally.
But actual rate, like measurable rate of scientific discovery. But even just seeing a system have really novel intuitions, like scientific intuitions, even that would be just incredible.
You're quite possibly would be the person to build the AGI, to be able to interact with it before anyone else does. What kind of stuff would you talk about? I mean, definitely the researchers here will do that before I do.
Sure. But what will I...
I've actually thought a lot about this question. If I were...
Someone was like... I think this is, as we talked about earlier, I think this is a bad framework.
But if someone were like, okay, Sam, we're finished. Here's a laptop.
This is the AGI. You know, you can, you can go talk to it.
I find it surprisingly difficult to say what I would ask, that I would expect that first AGI to be able to answer.

Like that first one is not going to be the one which is like, go like, you know, I don't think, like go explain to me like the grand unified theory of physics, the theory of everything for physics. I'd love to ask that question.
I'd love to know the answer to that question. You can ask yes or no questions about, does such a theory exist? Can it exist? Well, then those are the first questions I would ask.
Yes or no. Just very...
And then based on that, are there other alien civilizations out there? Yes or no? What's your intuition? And then you just ask that. Yeah, I mean, well, so I don't expect that this first AGI could answer any of those questions, even as yes or no's.
But if it could, those would be very high on my list. Maybe you can start assigning probabilities.
Maybe. Maybe we need to go invent more technology and measure more things first.
But if it's an AGI, oh, I see. It just doesn't have enough data.
Maybe it says, you want to know the answer to this question about physics, I need you to build this machine and make these five measurements and tell me that.

Yeah, like,

what the hell do you want from me?

I need the machine first

and I'll help you deal with the data

from that machine.

Maybe it'll help you build the machine.

Maybe, maybe.

And on the mathematical side,

maybe prove some things.

Are you interested in that side of things too?

The formalized exploration of ideas?

Whoever builds AGI first gets a lot of power. Do you trust yourself with that much power? Look, I was going to, I'll just be very honest with this answer.
I was going to say, and I still believe this, that it is important that I, nor any other one person, have total control over OpenAI or over AGI. and I think you want a robust governance system I can point

out a whole bunch of things about

all of our board drama from last year about how I didn't fight it initially and was just like, yeah, that's the will of the board even though I think it's a really bad decision. And then later I clearly did fight it and I can explain the nuance and why I think it was okay for me to fight it later,

but as many people have observed,

although the board had the legal ability to fire me,

in practice it didn't quite work,

and that is its own kind of governance failure.

Now, again, I feel like I can completely defend the specifics here.

And I think most people would agree with that.

But it does make it harder for me to look you in the eye and say, hey, the board can just fire me. I continue to not want super voting control over OpenAI.
I never have, never had it, never wanted it. Even after all this craziness, I still don't want it.
I continue to think that no company should be making these decisions and that we really need governments to put rules of the road in place. And I realize that that means people like Mark Andreessen or whatever will claim I'm going for regulatory capture and I'm just willing to be misunderstood there.
It's not true. And I think in the fullness of time, it'll get proven out why this is important.
But I think I have made plenty of bad decisions for OpenAI along the way and a lot of good ones. And I am proud of the track record overall, but I don't think any one person should, and I don't think any one person will.
I think it's just like too big of a thing now and it's happening throughout society in a good and healthy way. But I don't think any one person should be in control of an AGI, that would be, or this whole movement towards AGI.
And I don't think that's what's happening. Thank you for saying that.
That was really powerful and that was really insightful. That this idea that the board can fire you is legally true.
But you can, and human beings can manipulate the masses into overriding the board and so on. But I think there's also a much more positive version of that where the people still have power.
So the board can't be too powerful either. There's a balance of power in all of this.
Balance of power is a good thing for sure. Are you afraid of losing control of the AGI itself? That's a lot of people who worry about existential risk,

not because of state actors, not because of security concerns,

but because of the AI itself.

That is not my top worry.

As I currently see things, there have been times I worry about that more.

There may be times, again, in the future where that's my top worry.

It's not my top worry right now.

What's your intuition about it not being your worry?

Because there's a lot of other stuff to worry about, essentially.

You think you could be surprised?

We could be surprised?

Of course.

Thank you. intuition about it and not being your worry? Because there's a lot of other stuff to worry about, essentially.
You think you could be surprised? We could be surprised? Like, saying it's not my top worry doesn't mean anything we need. Like, I think we need to work on it super hard.
And we have great people here who do work on that. I think there's a lot of other things we also have to get right.
To you, it's not super easy to escape the box at this time, like connect to the internet. You know, we like talked about theatrical risks earlier.
That's a theatrical risk. Like that, that is a, that is a thing that can really like take over how people think about this problem.
And there's a big group of like a very smart, I think very well-meaning AI safety researchers that got super hung up on this one problem. I'd argue without much progress, but super hung up on this one problem.
I'm actually happy that they do that because I think we do need to think about this more. But I think it pushed aside, it pushed out of the space of discourse, a lot of the other very significant AI-related risks.

Let me ask you about you tweeting with no capitalization. Is the shift key broken on your keyboard? Why does anyone care about that? I deeply care.
But why? I mean, other people are asking about that too. Yeah.
Any intuition? I think it's the same reason. And's like this poet's E.
Cummings that doesn't,

mostly doesn't use capitalization to say like,

fuck you to the system kind of thing.

And I think people are very paranoid because they want you to follow the rules.

You think that's what it's about?

I think it's, it's like this guy doesn't follow the rules.

He doesn't capitalize his tweets.

Yeah.

This seems really dangerous.

He seems like an anarchist.

It doesn't. Are you just being.
This seems really dangerous. He seems like an anarchist.
He doesn't.

Are you just being poetic, hipster?

What's the, follow the rules, Sam.

I grew up as a very online kid.

I'd spent a huge amount of time chatting with people back in the days where you did it on a computer and you could log off instant messenger at some point.

And I never capitalized there.

As I think most internet kids didn't. Or maybe they still don't i don't know um and i actually this is like now i'm like really trying to reach for something but i think capitalization has gone down over time like if you read like old english, they capitalized a lot of random words in the middle of sentences,

nouns and stuff that we just don't do anymore.

I personally think it's sort of like a dumb construct that we capitalize

the letter at the beginning of a sentence

and of certain names and whatever,

but you know, I don't, it's fine.

And then what I,

and I used to, I think,

even like capitalize my tweets

because I was trying to sound professional

or something.

I haven't capitalized my private DMs or whatever in a long time. And then slowly, stuff like shorter form, less formal stuff has slowly drifted to closer and closer to how I would text my friends.
If I like write, if I like pull up a word document and I'm like writing a strategy memo for the company or something, I always capitalize that. If I'm writing like a long kind of more like formal message, I always use capitalization there too.
So I still remember how to do it, but even that may fade out. I don't know.
Like it's, but I never spend time thinking about this. So I don't have like a ready-made.
Well, it's interesting. It's good to, first of all, know the shift key is not broken.
It works. I was mostly concerned about your well-being on that front.
I wonder if people like still capitalize their Google searches. Like if you're writing something just to yourself or their ChatGPT queries, if you're writing something just to yourself, do some people still bother to capitalize? Probably not.
Yeah, there's a percentage, but it's a small one. The thing that would make me do it is if people were like, it's a sign of, like, because I'm sure I could, like, force myself to use capital letters, obviously.
If it felt like a sign of respect to people or something, then I could go do it. But I don't know.

I just like, I don't think about this.

I don't think there's a disrespect.

But I think it's just the conventions of civility that have a momentum.

And then you realize it's not actually important for civility if it's not a sign of respect or disrespect.

But I think there's a movement of people that just want you to have a philosophy around it so they can let go of this whole capitalization thing. I don't think anybody else thinks about this.
I mean, maybe some people. I know some people do.
I think about this every day for many hours a day. So I'm really grateful we clarified it.
You can't be the only person that doesn't capitalize tweets. You're the only CEO of a company that doesn't capitalize tweets.
I don't even think that's true. But maybe, maybe.
All right, we'll investigate further and return to this topic later.

Given Soar's ability to generate simulated worlds, let me ask you a pothead question.

Does this increase your belief, if you ever had one, that we live in a simulation?

Maybe a simulated world generated by an AI system.

Yes, somewhat.

I don't think that's like the strongest piece of evidence.

I think the fact that we can

generate

worlds

should increase everyone's probability somewhat, or at least open to it openness to it somewhat but you know i was like certain we would be able to do something like at some point it happened faster than i thought but that i guess that was not a big update yeah but the fact that and presumably it'll get better and better and better the fact that you can generate worlds, they're novel. They're based in some aspect of training data, but when you look at them, they're novel.
That makes you think, like, how easy it is to do this thing? How easy is it to create universes? Entire, like, video game worlds that seem ultra realistic and photorealistic and then

how easy is it to get lost in that world first with the vr headset and then on the physics based level you said to me recently i thought it was a super profound insight that uh there are these like

very simple sounding

but very psychedelic insights that exist sometimes. So the square root function, square root of four, no problem.
Square root of two. Okay.
Now I have to like to think about this new kind of number. But once I come up with this easy idea of a square root function that you can kind of explain to a child and exists by even looking at some simple geometry, then you can ask the question of what is the square root of negative one.

And that, this is why it's like a psychedelic thing, that tips you into some whole other kind of reality. And you can come up with lots of other examples, but I think this idea that the lowly square root operator can offer such a profound insight and a new realm of knowledge applies in a lot of ways.
And I think there are a lot of those operators for why people may think that any version that they like of the simulation hypothesis is maybe more likely than they thought before. But for me, the fact that Sora worked is not in the top five.
I do think, broadly speaking, AI will serve as those kinds of gateways at its best. Simple, psychedelic-like gateways to another way of seeing reality.
That seems for certain. That's pretty exciting.
I haven't done ayahuasca before, but I will soon. I'm going to the aforementioned Amazon jungle in a few weeks.
Excited? Yeah, I'm excited for it. Not the ayahuasca part, but that's great, whatever.
But I'm going to spend several weeks in the jungle, deep in the jungle. And it's exciting, but it's terrifying.
I'm excited for you. There's a lot of things that can eat you there and kill you and poison you.
But it's also nature and it's the machine of nature. And you can't help but appreciate the machinery of nature in the Amazon jungle, because it's just like this system that just exists and renews itself like every second, every minute, every hour, just in, it's the machine.

It makes you appreciate like this thing we have here,

this human thing came from somewhere.

This evolutionary machine has created that

and it's most clearly on display in the jungle.

So hopefully I'll make it out alive.

If not, this will be the last conversation we had.

So I really deeply appreciate it.

Do you think, as I mentioned before, there's other alien civilizations out there intelligent ones when you look up at the skies i deeply want to believe that the answer is yes. I do find the kind of where, I find the Fermi paradox very, very puzzling.
I find it scary. That intelligence is not good at handling.
Yeah. Very scary.
Powerful technologies. But at the same time, I think I'm pretty confident that there's just a very large number of intelligent alien civilizations out there it might just be really difficult to travel through space very possible and it also makes me think about the nature of intelligence maybe we're really blind to what intelligence looks like and maybe ai will help us see that it's's not as simple as IQ tests and simple puzzle solving.
There's something bigger. What gives you hope about the future of humanity? This thing we've got going on? This human civilization? I think the past is like a lot.
I mean, we just look at what humanity has done in a not very long period of time.

You know, huge problems, deep flaws, lots to be super ashamed of. But on the whole, very inspiring.
Gives me a lot of hope. Just the trajectory of it all.
Yeah. That we're together pushing towards a better future.
It is

You know one thing that

I wonder about is

Is aging a better future. It is...
You know, one thing that I wonder about is, is AGI going to be more like some single brain? Or is it more like the sort of scaffolding in society between all of us? You have not had a great deal of genetic drift from your great-great-great-grandparents. And yet what you're capable of is dramatically different.
What you know is dramatically different. And that is not, that's not because of biological change.
It is because, I mean, you got a little bit healthier, probably you have modern medicine, you eat better, whatever. But what you have is this scaffolding that we all contributed to, built on top of.
No one person is going to go build the iPhone. No one person is going to go discover all of science.
And yet, you get to use it. And that gives you incredible ability.
And so in some sense, we all created that. And that fills me with hope for the future.
That was a very collective thing.

Yeah, we really are standing on the shoulders of giants.

You mentioned when we were talking about theatrical,

dramatic AI risks

that sometimes you might be afraid for your own life.

Do you think about your death?

Are you afraid of it?

I mean, if I got shot tomorrow and I knew it today, I'd be like, oh, that's sad. I like don't, you know, I want to see what's going to happen.
Yeah. What a curious time.
What an interesting time. But I would mostly just feel like very grateful for my life.
The moments that you did get. Yeah, me too.
It's a pretty awesome life. I get to enjoy awesome creations of humans, of which I believe ChadGPT is one of and everything that OpenAI is doing.
Sam, it's really an honor and pleasure to talk to you again. Great to talk to you.
Thank you for having me. Thanks for listening to this conversation with Sam Altman.

To support this podcast,

please check out our sponsors in the description.

And now let me leave you with some words

from Arthur C. Clarke.

It may be that our role on this planet

is not to worship God,

but to create him.

Thank you for listening

and hope to see you next time.