Unconfuse Me with Bill Gates
EPISODE 06: Sam Altman
Date aired: January 11, 2024

BILL GATES: My guest today is Sam Altman. He, of course, is the CEO of OpenAI. He’s been an
entrepreneur and a leader in the tech industry for a long time, including running Y Combinator, that
did amazing things like funding Reddit, Dropbox, Airbnb.
A little while after I recorded this episode, I was completely taken by surprise when, at least briefly,
he was let go as the CEO of OpenAI. A lot happened in the days after the firing, including a showof support from nearly all of OpenAI’s employees, and Sam is back. So, before you hear theconversation that we had, let’s check in with Sam and see how he’s doing.
[audio – Teams call initiation]
BILL GATES: Hey, Sam.
SAM ALTMAN: Hey, Bill.
BILL GATES: How are you?
SAM ALTMAN: Oh, man. It’s been so crazy. I’m all right. It’s a very exciting time.
BILL GATES: How’s the team doing?
SAM ALTMAN: I think, you know a lot of people have remarked on the fact that the team has
never felt more productive or more optimistic or better. So, I guess that’s like a silver lining of all of
this.
In some sense, this was like a real moment of growing up for us, we are very motivated to become
better, and sort of to become a company ready for the challenges in front of us.
BILL GATES: Fantastic.
[audio – Teams call end][music]So, we won’t be discussing that situation in the conversation; however, you will hear about Sam’scommitment to build a safe and responsible AI. I hope you enjoy the conversation.
Welcome to Unconfuse Me. I’m Bill Gates.
[music fades]

BILL GATES: Today we’re going to focus mostly on AI, because it’s such an exciting thing, andpeople are also concerned. Welcome, Sam.
SAM ALTMAN: Thank you so much for having me.
BILL GATES: I was privileged to see your work as it evolved, and I was very skeptical. I didn’t
expect ChatGPT to get so good. It blows my mind, and we don’t really understand the encoding.
We know the numbers, we can watch it multiply, but the idea of where is Shakespearean encoded?
Do you think we’ll gain an understanding of the representation?
SAM ALTMAN: A hundred percent. Trying to do this in a human brain is very hard. You could
say it’s a similar problem, which is there are these neurons, they’re connected. The connections are
moving and we’re not going to slice up your brain and watch how it’s evolving, but this we canperfectly x-ray. There has been some very good work on interpretability, and I think there will be
more over time. I think we will be able to understand these networks, but our current understanding
is low. The little bits we do understand have, as you’d expect, been very helpful in improving thesethings. We’re all motivated to really understand them, scientific curiosity aside, but the scale of theseis so vast. We also could say, where in your brain is Shakespeare encoded, and how is that
represented?
BILL GATES: We don’t know.
SAM ALTMAN: We don’t really know, but it somehow feels even less satisfying to say we don’tknow yet in these masses of numbers that we’re supposed to be able to perfectly x-ray and watch
and do any tests we want to on.
BILL GATES: I’m pretty sure, within the next five years, we’ll understand it. In terms of bothtraining efficiency and accuracy, that understanding would let us do far better than we’re able to do
today.
SAM ALTMAN: A hundred percent. You see this in a lot of the history of technology where
someone makes an empirical discovery. They have no idea what’s going on, but it clearly works.
Then, as the scientific understanding deepens, they can make it so much better.
BILL GATES: Yes, in physics, biology, it’s sometimes just messing around, and it’s like, whoa –how does this actually come together?
SAM ALTMAN: In our case, the guy that built GPT-1 sort of did it off by himself and solved this,and it was somewhat impressive, but no deep understanding of how it worked or why it worked.
Then we got the scaling laws. We could predict how much better it was going to be. That was why,
when we told you we could do a demo, we were pretty confident it was going to work. We hadn’t
trained the model, but we were pretty confident. That has led us to a bunch of attempts and betterand better scientific understanding of what’s going on. But it really came from a place of empiricalresults first.
BILL GATES: When you look at the next two years, what do you think some of the key milestones
will be?

SAM ALTMAN: Multimodality will definitely be important.
BILL GATES: Which means speech in, speech out?
SAM ALTMAN: Speech in, speech out. Images. Eventually video. Clearly, people really want that.
We’ve launched images and audio, and it had a much stronger response than we expected. We’ll beable to push that much further, but maybe the most important areas of progress will be aroundreasoning ability. Right now, GPT-4 can reason in only extremely limited ways. Also reliability. If
you ask GPT-4 most questions 10,000 times, one of those 10,000 is probably pretty good, but it
doesn’t always know which one, and you’d like to get the best response of 10,000 each time, and sothat increase in reliability will be important.
Customizability and personalization will also be very important. People want very different thingsout of GPT-4: different styles, different sets of assumptions. We’ll make all that possible, and thenalso the ability to have it use your own data. The ability to know about you, your email, yourcalendar, how you like appointments booked, connected to other outside data sources, all of that.
Those will be some of the most important areas of improvement.
BILL GATES: In the basic algorithm right now, it’s just feed forward, multiply, and so to generate
every new word, it’s essentially doing the same thing. I’ll be interested if you ever get to the point
where, like in solving a complex math equation, you might have to apply transformations anarbitrary number of times, that the control logic for the reasoning may have to be quite a bit more
complex than just what we do today.
SAM ALTMAN: At a minimum, it seems like we need some sort of adaptive compute. Right now,
we spend the same amount of compute on each token, a dumb one, or figuring out somecomplicated math.
BILL GATES: Yes, when we say, "Do the Riemann hypothesis …"
SAM ALTMAN: That deserves a lot of compute.
BILL GATES: It’s the same compute as saying, "The."SAM ALTMAN: Right, so at a minimum, we’ve got to get that to work. We may need much moresophisticated things beyond it.
BILL GATES: You and I were both part of a Senate Education Session, and I was pleased thatabout 30 senators came to that, and helping them get up to speed, since it’s such a big change agent.
I don’t think we could ever say we did too much to draw the politicians in. And yet, when they say,"Oh, we blew it on social media, we should do better,” – that is an outstanding challenge that there
are very negative elements to, in terms of polarization. Even now, I’m not sure how we would deal
with that.
SAM ALTMAN: I don’t understand why the government was not able to be more effective aroundsocial media, but it seems worth trying to understand as a case study for what they’re going to go
through now with AI.

BILL GATES: It’s a good case study, and when you talk about the regulation, is it clear to you whatsort of regulations would be constructed?
SAM ALTMAN: I think we’re starting to figure that out. It would be very easy to put way too
much regulation on this space. You can look at lots of examples of where that’s happened before.
But also, if we are right, and we may turn out not to be, but if we are right, and this technology goesas far as we think it’s going to go, it will impact society, geopolitical balance of power, so manythings, that for these, still hypothetical, but future extraordinarily powerful systems – not like GPT4, but something with 100,000 or a million times the compute power of that, we have beensocialized in the idea of a global regulatory body that looks at those super-powerful systems, because
they do have such global impact. One model we talk about is something like the IAEA. For nuclear
energy, we decided the same thing. This needs a global agency of some sort, because of the potential
for global impact. I think that could make sense. There will be a lot of shorter term issues, issues ofwhat are these models allowed to say and not say? How do we think about copyright? Different
countries are going to think about those differently and that’s fine.
BILL GATES: Some people think if there are models that are so powerful, we’re scared of them –the reason nuclear regulation works globally, is basically everyone, at least on the civilian side, wants
to share safety practices, and it has been fantastic. When you get over into the weapons side ofnuclear, you don’t have that same thing. If the key is to stop the entire world from doing something
dangerous, you’d almost want global government, which today for many issues, like climate,terrorism, we see that it’s hard for us to cooperate. People even invoke U.S.-China competition to
say why any notion of slowing down would be inappropriate. Isn’t any idea of slowing down, or
going slow enough to be careful, hard to enforce?
SAM ALTMAN: Yes, I think if it comes across as asking for a slowdown, that will be really hard. If
it instead says, "Do what you want, but any compute cluster above a certain extremely high-power
threshold” – and given the cost here, we’re talking maybe five in the world, something like that –any cluster like that has to submit to the equivalent of international weapons inspectors. The model
there has to be made available for safety audit, pass some tests during training, and before
deployment. That feels possible to me. I wasn’t that sure before, but I did a big trip around theworld this year, and talked to heads of state in many of the countries that would need to participate
in this, and there was almost universal support for it. That’s not going to save us from everything.
There are still going to be things that are going to go wrong with much smaller-scale systems, insome cases, probably pretty badly wrong. But I think that can help us with the biggest tier of risks.
BILL GATES: I do think AI, in the best case, can help us with some hard problems.
SAM ALTMAN: For sure.
BILL GATES: Including polarization because potentially that breaks democracy and that would be
a super-bad thing. Right now, we’re looking at a lot of productivity improvement from AI, which isoverwhelmingly a very good thing. Which areas are you most excited about?
SAM ALTMAN: First of all, I always think it’s worth remembering that we’re on this long,continuous curve. Right now, we have AI systems that can do tasks. They certainly can’t do jobs, butthey can do tasks, and there’s productivity gain there. Eventually, they will be able to do more things
that we think of like a job today, and we will, of course, find new jobs and better jobs. I totallybelieve that if you give people way more powerful tools, it’s not just that they can work a little faster,
they can do qualitatively different things. Right now, maybe we can speed up a programmer 3x.
That’s about what we see, and that’s one of the categories that we’re most excited about it. It’s
working super-well. But if you make a programmer three times more effective, it’s not just that they
can do three times more stuff, it’s that they can – at that higher level of abstraction, using more of
their brainpower – they can now think of totally different things. It’s like going from punch cards tohigher level languages didn’t just let us program a little faster, it let us do these qualitatively new
things. We’re really seeing that.
As we look at these next steps of things that can do a more complete task, you can imagine a little
agent that you can say, "Go write this whole program for me, I’ll ask you a few questions along theway, but it won’t just be writing a few functions at a time.” That’ll enable a bunch of new stuff. And
then again, it’ll do even more complex stuff. Someday, maybe there’s an AI where you can say, "Gostart and run this company for me." And then someday, there’s maybe an AI where you can say,"Go discover new physics." The stuff that we’re seeing now is very exciting and wonderful, but I
think it’s worth always putting it in context of this technology that, at least for the next five or ten
years, will be on a very steep improvement curve. These are the stupidest the models will ever be.
Coding is probably the single area from a productivity gain we’re most excited about today. It’s
massively deployed and at scaled usage at this point. Healthcare and education are two things thatare coming up that curve that we’re very excited about too.
BILL GATES: The thing that is a little daunting is, unlike previous technology improvements, thisone could improve very rapidly, and there’s kind of no upper bound. The idea that it achieves
human levels on a lot of areas of work, even if it’s not doing unique science, it can do support calls
and sales calls. I guess you and I do have some concern, along with this good thing, that it’ll force us
to adapt faster than we’ve had to ever before.
SAM ALTMAN: That’s the scary part. It’s not that we have to adapt. It’s not that humanity is notsuper-adaptable. We’ve been through these massive technological shifts, and a massive percentage ofthe jobs that people do can change over a couple of generations, and over a couple of generations,
we seem to absorb that just fine. We’ve seen that with the great technological revolutions of thepast. Each technological revolution has gotten faster, and this will be the fastest by far. That’s thepart that I find potentially a little scary, is the speed with which society is going to have to adapt, andthat the labor market will change.
BILL GATES: One aspect of AI is robotics, or blue-collar jobs, when you get hands and feet thatare at human-level capability. The incredible ChatGPT breakthrough has kind of gotten us focusedon the white-collar thing, which is super appropriate, but I do worry that people are losing the focus
on the blue-collar piece. So how do you see robotics?
SAM ALTMAN: Super-excited for that. We started robots too early, so we had to put that project
on hold. It was hard for the wrong reasons. It wasn’t helping us make progress with the difficult
parts of the ML research. We were dealing with bad simulators and breaking tendons and things likethat. We also realized more and more over time that we first needed intelligence and cognition, andthen we could figure out how to adapt it to physicality. It was easier to start with that with the way
we built these language models. But we have always planned to come back to it.

We’ve started investing a little bit in robotics companies. On the physical hardware side, there’s
finally, for the first time that I’ve ever seen, really exciting new platforms being built there. At somepoint, we will be able to use our models, as you were saying, with their language understanding andfuture video understanding, to say, “All right, let’s do amazing things with a robot.”
BILL GATES: If the hardware guys who’ve done a good job on legs actually get the arms, hands,
fingers piece, and then we couple it, and it’s not ridiculously expensive, that could change the job
market for a lot of the blue-collar type work, pretty rapidly.
SAM ALTMAN: Yes. Certainly, the prediction, the consensus prediction, if we rewind seven or ten
years, was that the impact was going to be blue-collar work first, white-collar work second, creativity
maybe never, but certainly last, because that was magic and human.
Obviously, it’s gone exactly the other direction. I think there are a lot of interesting takeaways about
why that happened. Creative work, the hallucinations of the GPT models is a feature, not a bug. It
lets you discover some new things. Whereas if you’re having a robot move heavy machinery around,
you’d better be really precise with that. I think this is just a case of you’ve got to follow where
technology goes. You have preconceptions, but sometimes the science doesn’t want to go that way.
BILL GATES: So what application on your phone do you use the most?
SAM ALTMAN: Slack.
BILL GATES: Really?
SAM ALTMAN: Yes. I wish I could say ChatGPT.
BILL GATES: [laughs] Even more than e-mail?
SAM ALTMAN: Way more than e-mail. The only thing that I was thinking possibly was iMessages,
but yes, more than that.
BILL GATES: Inside OpenAI, there’s a lot of coordination going on.
SAM ALTMAN: Yes. What about you?
BILL GATES: It’s Outlook. I’m this old-style e-mail guy, either that or the browser, because, ofcourse, a lot of my news is coming through the browser.
SAM ALTMAN: I didn’t quite count the browser as an app. It’s possible I use it more, but I still
would bet Slack. I’m on Slack all day.
BILL GATES: Incredible.
BILL GATES: Well, we’ve got a turntable here. I asked Sam, like I have for other guests, to bring
one of his favorite records. So, what have we got?

SAM ALTMAN: I brought The New Four Seasons - Vivaldi Recomposed by Max Richter. I like musicwith no words for working. That had the old comfort of Vivaldi and pieces I knew really well, but
enough new notes that it was a totally different experience. There are pieces of music that you form
these strong emotional attachments to, because you listened to them a lot in a key period of yourlife. This was something that I listened to a lot while we were starting OpenAI.
I think it’s very beautiful music. It’s soaring and optimistic, and just perfect for me for working. I
thought the new version is just super great.
BILL GATES: Is it performed by an orchestra?
SAM ALTMAN: It is. The Chineke! Orchestra.
BILL GATES: Fantastic.
SAM ALTMAN: Should I play it?
BILL GATES: Yes, let’s.
[music – “The New Four Seasons – Vivaldi Recomposed: Spring 1” by Max Richter]
SAM ALTMAN: This is the intro to the sound we’re going for.
[music]
BILL GATES: Do you wear headphones?
SAM ALTMAN: I do.
BILL GATES: Do your colleagues give you a hard time about listening to classical music?
SAM ALTMAN: I don’t think they know what I listen to, because I do wear headphones. It’s very
hard for me to work in silence. I can do it, but it’s not my natural state.
BILL GATES: It’s fascinating. Songs with words, I agree, I would find that distracting, but this is
more of a mood type thing.
SAM ALTMAN: Yes, and I have it quiet. I can’t listen to loud music either, but it’s just somehow
always what I’ve done.
BILL GATES: It’s fantastic. Thanks for bringing it.
[music fades]
BILL GATES: Now, with AI, to me, if you do get to the incredible capability, AGI, AGI+, there
are three things I worry about. One is that a bad guy is in control of the system. If we have goodguys who have equally powerful systems that hopefully minimizes that problem. There’s the chance

of the system taking control. For some reasons, I’m less concerned about that. I’m glad other people
are. The one that sort of befuddles me is human purpose. I get a lot of excitement that, hey, I’m
good at working on malaria, and malaria eradication, and getting smart people and applying
resources to that. When the machine says to me, "Bill, go play pickleball, I’ve got malaria eradication.
You’re just a slow thinker," then it is a philosophically confusing thing. How do you organize
society? Yes, we’re going to improve education, but education to do what, if you get to this extreme,
which we still have a big uncertainty. For the first time, the chance that might come in the next 20
years is not zero.
SAM ALTMAN: There’s a lot of psychologically difficult parts of working on the technology, but
this is for me, the most difficult, because I also get a lot of satisfaction from that.
BILL GATES: You have real value added.
SAM ALTMAN: In some real sense, this might be the last hard thing I ever do.
BILL GATES: Our minds are so organized around scarcity; scarcity of teachers and doctors andgood ideas that, partly, I do wonder if a generation that grows up without that scarcity will find thephilosophical notion of how to organize society and what to do. Maybe they’ll come up with asolution. I’m afraid my mind is so shaped around scarcity, I even have a hard time thinking of it.
SAM ALTMAN: That’s what I tell myself too, and it’s what I truly believe, that although we aregiving something up here, in some sense, we are going to have things that are smarter than us. If we
can get into this world of post-scarcity, we will find new things to do. They will feel very different.
Maybe instead of solving malaria, you’re deciding which galaxy you like, and what you’re going to dowith it. I’m confident we’re never going to run out of problems, and we’re never going to run out ofdifferent ways to find fulfilment and do things for each other and understand how we play ourhuman games for other humans in this way that’s going to remain really important. It is going to bedifferent for sure, but I think the only way out is through. We have to go do this thing. It’s going tohappen. This is now an unstoppable technological course. The value is too great. And I’m pretty
confident, very confident, we’ll make it work, but it does feel like it’s going to be so different.
BILL GATES: The way to apply this to certain current problems, like getting kids a tutor andhelping to motivate them, or discover drugs for Alzheimer’s, I think it’s pretty clear how to do that.
Whether AI can help us go to war less, be less polarized; you’d think as you drive intelligence, andnot being polarized kind of is common sense, and not having war is common sense, but I do think a
lot of people would be skeptical. I’d love to have people working on the hardest human problems,
like whether we get along with each other. I think that would be extremely positive, if we thought
the AI could contribute to humans getting along with each other.
SAM ALTMAN: I believe that it will surprise us on the upside there. The technology will surprise
us with how much it can do. We’ve got to find out and see, but I’m very optimistic. I agree with you,what a contribution that would be.
BILL GATES: In terms of equity, technology is often expensive, like a PC or Internet connection,and it takes time to come down in cost. I guess the costs of running these AI systems, it looks pretty
good that the cost per evaluation is going to come down a lot?

SAM ALTMAN: It’s come down an enormous amount already. GPT-3, which is the model we’ve
had out the longest and the most time to optimize, in the three and a little bit years that it has beenout, we’ve been able to bring the cost down by a factor of 40. For three years’ time, that’s a pretty
good start. For 3.5, we’ve brought it down, I would bet, close to 10 at this point. Four is newer, so
we haven’t had as much time to bring the cost down there, but we will continue to bring the costdown. I think we are on the steepest curve of cost reduction ever of any technology I know, way
better than Moore’s Law. It’s not only that we figured out how to make the models more efficient,but also, as we understand the research better, we can get more knowledge, we can get more ability
into a smaller model. I think we are going to drive the cost of intelligence down to so close to zerothat it will be this before-and-after transformation for society.
Right now, my basic model of the world is cost of intelligence, cost of energy. [Bill laughs] Those are
the two biggest inputs to quality of life, particularly for poor people, but overall. If you can drive
both of those way down at the same time, the amount of stuff you can have, the amount of
improvement you can deliver for people, it’s quite enormous. We are on a curve, at least for
intelligence, we will really, really deliver on that promise. Even at the current cost, which again, thisis the highest it will ever be and much more than we want, for 20 bucks a month, you get a lot of
GPT-4 access, and way more than 20 bucks’ worth of value. We’ve come down pretty far.
BILL GATES: What about the competition? Is that kind of a fun thing that many people areworking on this all at once?
SAM ALTMAN: It’s both annoying and motivating and fun. [Bill laughs] I’m sure you’ve felt
similarly. It does push us to be better and do things faster. We are very confident in our approach.
We have a lot of people that I think are skating to where the puck was, and we’re going to where thepuck is going. It feels all right.
BILL GATES: I think people would be surprised at how small OpenAI is. How many employees
do you have?
SAM ALTMAN: About 500, so we’re a little bigger than before.
BILL GATES: But that’s tiny. [laughs] By Google, Microsoft, Apple standards –SAM ALTMAN: It’s tiny. We have to not only run the research lab, but now we have to run a realbusiness and two products.
BILL GATES: The scaling of all your capacities, including talking to everybody in the world, andlistening to all those constituencies, that’s got to be fascinating for you right now.
SAM ALTMAN: It’s very fascinating.
BILL GATES: Is it mostly a young company?
SAM ALTMAN: It’s an older company than average.
BILL GATES: Okay.

SAM ALTMAN: It’s not a bunch of 24-year-old programmers.
BILL GATES: It’s true, my perspective is warped, because I’m in my 60s. I see you, and you’re
younger, but you’re right. You have a lot in their 40s.
SAM ALTMAN: Thirties, 40s, 50s.
BILL GATES: It’s not the early Apple, Microsoft, which we were really kids.
SAM ALTMAN: It’s not, and I’ve reflected on that. I think companies have gotten older in general,
and I don’t know quite what to make of that. I think it’s somehow a bad sign for society, but I
tracked this at YC. The best founders have trended older over time.
BILL GATES: That’s fascinating.
SAM ALTMAN: Then in our case, it’s a little bit older than the average, even still.
BILL GATES: You got to learn a lot by your role at Y Combinator, helping these companies. I
guess that was good training for what you’re doing now. [laughs]
SAM ALTMAN: That was super helpful.
BILL GATES: Including seeing mistakes.
SAM ALTMAN: Totally. OpenAI did a lot of things that are very against the standard YC advice.
We took four and a half years to launch our first product. We started the company without any ideaof what a product would be. We were not talking to users. I still don’t recommend that for mostcompanies, but having learned the rules and seen them at YC made me feel like I understood whenand how and why we could break them. We really did things that were just so different than any
other company I’ve seen.
BILL GATES: The key was the talent that you assembled, and letting them be focused on the big,
big problem, not some near-term revenue thing.
SAM ALTMAN: I think Silicon Valley investors would not have supported us at the level weneeded, because we had to spend so much capital on the research before getting to the product. We
just said, “Eventually the model will be good enough that we know it’s going to be valuable topeople.” But we were very grateful for the partnership with Microsoft, because this kind of wayahead-of-revenue investing is not something that the venture capital industry is good at.
BILL GATES: No, and the capital costs were reasonably significant, almost at the edge of what
venture would ever be comfortable with.
SAM ALTMAN: Maybe past.
BILL GATES: Maybe past. I give Satya incredible credit for thinking through ‘how do you take thisbrilliant AI organization, and couple it into the large software company?’ It has been very, very
synergistic.

SAM ALTMAN: It’s been wonderful, yes. You really touched on it, though, and this was
something I learned from Y Combinator. We said, we are going to get the best people in the world
at this. We are going to make sure that we’re all aligned at where we’re going and this AGI mission.
But beyond that, we’re going to let people do their thing. We’re going to realize it’s going to go
through some twists and turns and take a while.
We had a theory that turned out to be roughly right, but a lot of the tactics along the way turned out
to be super wrong. We just tried to follow the science.
BILL GATES: I remember going and seeing the demonstration and thinking, okay, what’s the path
to revenue on that one? What is that like? In these frenzied times, you’re still holding on to anincredible team.
SAM ALTMAN: Yes. Great people really want to work with great colleagues.
BILL GATES: That’s an attractive force.
SAM ALTMAN: There’s a deep center of gravity there. Also, it sounds so cliche, and every
company says it, but people feel the mission so deeply. Everyone wants to be in the room for thecreation of AGI.
BILL GATES: It must be exciting. I can see the energy when you come up and blow me away
again with the demos; I’m seeing new people, new ideas. You’re continuing to move at a really
incredible speed.
SAM ALTMAN: What’s the piece of advice you give most often?
BILL GATES: There are so many different forms of talent. Early in my career, I thought, just pure
IQ, like engineering IQ, and of course, you can apply that to financial and sales. That turned out tobe so wrong. Building teams where you have the right mix of skills is so important. Getting people
to think, for their problem, how do they build that team that has all the different skills, that’s
probably the one that I think is the most helpful. Yes, telling kids, you know, math, science is cool, if
you like it, but it’s that talent mix that really surprised me.
What about you? What advice do you give?
SAM ALTMAN: It’s something about how most people are mis-calibrated on risk. They’re afraid
to leave the soft, cushy job behind to go do the thing they really want to do, when, in fact, if they
don’t do that, they look back at their lives like, “Man, I never went to go start this company I wanted
to start, or I never tried to go be an AI researcher.” I think that’s sort of much riskier.
Related to that, being clear about what you want to do, and asking people for what you want goes asurprisingly long way. A lot of people get trapped in spending their time in not the way they want to
do. Probably the most frequent advice I give is to try to fix that some way or other.
BILL GATES: If you can get people into a job where they feel they have a purpose, it’s more fun.
Sometimes that’s how they can have gigantic impact.

SAM ALTMAN: That’s for sure.
BILL GATES: Thanks for coming. It was a fantastic conversation. In the years ahead, I’m sure
we’ll get to talk a lot more, as we try to shape AI in the best way possible.
SAM ALTMAN: Thanks a lot for having me. I really enjoyed it.
[music]
BILL GATES: Unconfuse Me is a production of the Gates Notes. Special thanks to my guest today,
Sam Altman.
BILL GATES: Remind me what your first computer was?
SAM ALTMAN: A Mac LC2.
BILL GATES: Nice choice.
SAM ALTMAN: It was a good one. I still have it; it still works.