EDITOR\u2019S NOTE: In this fireside chat at the G20 Innovation Ministerial held at The Carolina Inn in Chapel Hill, North Carolina, U.S. Commerce Secretary Howard Lutnick sits down with OpenAI CEO Sam Altman for a wide-ranging conversation on artificial intelligence, global economic growth, and the future of entrepreneurship. Altman traces his personal journey from AI enthusiast to the head of one of the world\u2019s most consequential technology companies, while making the case that adopting AI is non-negotiable for every nation. The discussion covers OpenAI\u2019s origins, the pivotal role of scaling laws, and how AI is poised to reshape economies, businesses, and daily life around the world. (Sep 2, 2026)<\/p>\n
TRANSCRIPT: <\/p>\n
From AI Nerd to OpenAI: Sam Altman\u2019s Origin Story<\/p>\n
HOWARD LUTNICK (00:00:02 \u2013 00:00:50): Hello, everyone. Well, welcome to lunch. Not for you and me, but welcome for lunch. I think we\u2019ve had a great day so far. And I\u2019m honored to have with me Sam Altman joining us for our discussion about AI and where we\u2019re going from here. So thanks for joining us. You have really the greatest countries in the world all around you. So would you mind giving us a little history? Like, how do you go from being Sam Altman to being the head of AI and really at the frontier? Like, sort of walk us through how you got from there to here.<\/p>\n
SAM ALTMAN (00:00:51 \u2013 00:01:56): First of all, thank you very much for having me. As you said, this is the greatest country in the world, and it\u2019s a great honor to get to address all of you at the same time. I was always an AI nerd. I was a real sci-fi nerd as a kid. I thought AI was the coolest thing. I always wanted to work on it. I never really thought I\u2019d actually get to do it. I kind of can\u2019t believe this happened to me, but I always thought it was awesome.<\/p>\n
I went to school to study it. At the time, nothing was working, and I kind of gave up on it, and I went on this side quest of entrepreneurship, which was also great. And then in 2012, everything changed. None of us paid enough attention, but there was a real watershed moment where all of a sudden deep learning started to work, and it got better with more compute. And I paid a lot of attention to that for the next couple of years, and by the time 2015 rolled around, I was like, hey, this is really going to happen. Like, we got to take it, we got to try. This could be like the most important thing ever. And so we thought for a while about what to do and started OpenAI.<\/p>\n
HOWARD LUTNICK (00:01:57 \u2013 00:02:00): And so what year did you start OpenAI?<\/p>\n
SAM ALTMAN (00:02:01 \u2013 00:02:06): The very end of 2015, we announced it, and then the first day of work was like January of 2016.<\/p>\n
Building OpenAI: From Rubik\u2019s Cubes to GPT<\/p>\n
HOWARD LUTNICK (00:02:08 \u2013 00:02:17): So, all right, so you start in 2016, and what are your\u2014 like, what\u2019s the big goal that you start with and then how does that evolve?<\/p>\n
SAM ALTMAN (00:02:19 \u2013 00:03:52): So we knew that there was this magic piece of technology. We knew that we could apply compute to a problem and to learn it. And we knew that the more compute we used, the smarter and more capable the system got. We didn\u2019t really know anything else. We didn\u2019t know what kind of system we were going to build. This was way before the idea of language models. We were trying to train a robot hand to do a Rubik\u2019s Cube. We were trying to, you know, show that we could play video games. And we were really developing the algorithms and trying to understand how this amazing property of the universe worked.<\/p>\n
And then not until about 2018 did we start making progress on unsupervised learning. And then the first GPT-1 model. And not until 2020 did we train GPT-3, which was the first model that I think actually was over some threshold of usability. Even then, most people in the world looked at this and said, you know, okay, the model can generate a coherent sentence. That was really the limit at the time. Kind of impressive, but like, what is this going to mean? And why is this going to matter to the economy or society or anything else?<\/p>\n
But we had discovered by this point these scaling laws which said, well, if we could apply like a trillion dollars of compute to this idea, something quite amazing would happen. And people said, well, you can\u2019t apply a trillion dollars of compute, so it doesn\u2019t matter. And we sort of said, why not? Let\u2019s try.<\/p>\n
The GPT-4 Moment: When Everything Changed<\/p>\n
HOWARD LUTNICK (00:03:55 \u2013 00:04:10): You\u2019ve got the idea and it\u2019s moving forward, but when does it come together that it\u2019s really bottling knowledge? Like, how does that\u2014<\/p>\n
SAM ALTMAN (00:04:10 \u2013 00:05:27): Different people at OpenAI would give you different answers to this, but I would say the kind of consensus, to the degree there is one, was the time of GPT-4. This was like\u2014 I believe this was like March of 2023, but I may be wrong on the timeline there. We had that model for maybe 8 months before it launched. So we had had time internally to really get to know it. And that was the time where people, even some of the people internally who had been skeptics of this approach, would look at it and said, this is going to go very far.<\/p>\n
And it hasn\u2019t been that long since that moment, you know, 3 and a half years now. And the fact that we now have a system, and we\u2019re launching our new model soon, which is another step forward, and there\u2019ll be many more step forwards coming soon after that, but that it is so capable that it is discovering new knowledge, doing science, able to add huge economic value, create entire pieces of complex software.<\/p>\n
This is like a very crazy moment. I think it hit us, yeah, over a period of time, but centered around this GPT-4 period.AI as the Greatest Boom in Entrepreneurship<\/p>\n
HOWARD LUTNICK (00:05:29 \u2013 00:05:44): So you understand that you can sort of capture education, right? You capture knowledge. How should the G20 economies think about this?<\/p>\n
SAM ALTMAN (00:05:50 \u2013 00:09:26): I don\u2019t want to overstate things, but I\u2019m very excited about our new model, so forgive me if I get a little bit too enthusiastic here. I think this, for example, will be the greatest boom in entrepreneurship and the creation and development of small businesses the world has ever seen. If you have a great idea but you didn\u2019t have the resources or the ability to get enough capital together or hire enough experts to work on it or to figure out what it\u2019s going to take to invent a new piece of science or manage a complex supply chain, you can do that with AI now.<\/p>\n
And I remember after ChatGPT launched, one of the stories that has stuck with me the most from that moment was a guy that managed a laundromat. Apparently, laundromats are usually good businesses. Wouldn\u2019t have been obvious to me. Apparently, they are. But this one was not going well, and he was using ChatGPT for everything \u2014 to make his marketing materials, to give him advice on legal contracts, to manage relationships with vendors. This long list of stuff. He was really the first person I met that had figured out how to use AI to effectively run a business.<\/p>\n
And this was amazing to me at the time. Now, I know you all have heard stories about this a bunch, and it\u2019s no longer surprising, but in 2023, the fact that someone was using ChatGPT, broken and embarrassing though it was at the time, to let them manage a business that otherwise they couldn\u2019t have done was quite remarkable.<\/p>\n
In 2025, we saw a real acceleration of this with coding agents and white-collar work agents. I think we\u2019ll see a third thing soon where we\u2019ll have these long-term persistent agents that can work like a real virtual collaborator constantly helping. But it\u2019s amazing to me what is happening with the boom in entrepreneurship and business creation because of AI.<\/p>\n
AI Adoption Is Non-Negotiable for Every Nation<\/p>\n
If I were a country \u2014 you know, many of you are going to take very different approaches to how you regulate AI, how you welcome it into your country, how you use it. But for sure, I think it is non-negotiable that you have to use it. The economic growth and benefit to people that can come from this, the value to a country is too high to ignore.<\/p>\n
There\u2019ll be different ways people try to do this, but this is like, you know, the smartest people in the world decided to move to your country. To learn your language, to work very hard on whatever problem you\u2019d like, to go discover new things that you need. And you can put as much of this to work as you want. Some of you will choose to build data centers, some of you will choose to rent data centers from other people because you don\u2019t want them in your country. I think all that\u2019s fine, but we want to help. We want to support not just our company, our whole industry. Like, we want to bring this incredible magic of, you know, intelligence in a bottle, education in a bottle to all of you.<\/p>\n
I think this is an incredible moment for the world. What people can do with this and the economic boom that will come with it, the sort of individual increased quality of life. People talk about, you know, medical care and what that means, education and what that means, services that only very rich people used to have access to, now anybody can have with AI. And the ability for people to just come up with ideas and get them to fruition so quickly is going to be incredible.<\/p>\n
Context, Creativity, and the Role of OpenAI<\/p>\n
HOWARD LUTNICK (00:09:27 \u2013 00:10:03): Do you think that your company can create the context that people can use to create their outcomes, or do you think there\u2019ll be an industry sort of surrounding you that will contextualize it? \u2018Cause if you think about it, you say the smartest people in the world move into my neighborhood and they\u2019re willing to work for me, but if I don\u2019t know what to ask \u2019em to do, it\u2019s not really a fun dinner party having the smartest people in the world sitting with you and they can\u2019t really have a conversation, right? So how do we think about context?<\/p>\n
SAM ALTMAN (00:10:03 \u2013 00:10:45): That\u2019s not going to come from us, and I don\u2019t think that should. We will provide this engine. You know, we will provide this incredible commodity of AI that you can use for whatever you want. But the people of the world, and I have complete trust in the people of the world\u2019s creativity and ambition, will have to figure out what to ask it to do, what ideas to throw this at, what problems and what context in a particular society or company is important to understand what to do. So that won\u2019t be our role. I don\u2019t think we\u2019d be good at it even if it were. But we will be able to enable everyone around the world to bring that context and those questions and those ideas.<\/p>\n
How Governments Should Think About AI<\/p>\n
HOWARD LUTNICK (00:10:47 \u2013 00:11:23): So should the governments of the world think of AI and companies like your company different than they thought about prior technology? Meaning, if what you\u2019re bringing them is, you know, the smartest people in the world, an educated capacity, then if they look at that as technology and they keep it out of their country or they constrain it, are they constraining their capacity to think and grow and build?<\/p>\n
SAM ALTMAN (00:11:27 \u2013 00:13:59): I am always tempted to say this time is different. This is really special. And I suspect\u2014 well, to zoom out even further than that, as a kid, my understanding of the world was that there were these few punctuated moments in history, each of which was a very different thing. You had the Agricultural Revolution. And then you had the Industrial Revolution, and then you had the Computer Revolution. And these were all completely different, unrelated things, and there were not that many lessons to learn from them, and they were best understood in isolation.<\/p>\n
And even if you zoomed into one \u2014 pick the Industrial Revolution \u2014 the right way to understand that was 20 or 30 important pieces of technology that were all developed over a period of a couple hundred years that came together in this important way.<\/p>\n
As an adult, I look at it as, you know, it has been a single revolution, a single exponential of technology. Each generation has built on the scaffolding of the generations before, put a new brick in place. People have been able to see a layer of scaffolding, to stick with the analogy. People have been able to climb and see a little higher and do the new thing.<\/p>\n
If you think about what it took to get us to this point where we can build AI, it was all of those previous revolutions stacked together, and it was the collective discovery of science throughout society and the global economy that we all contribute to that made this incredible thing possible and now happen. And it is tempting whenever you\u2019re in the moment to say this is the last revolution, this is the biggest revolution. There will be more after this. There will be bigger things after this. People will use AI to invent whatever thing that comes next. It\u2019s probably very difficult for us to imagine right now.<\/p>\n
And I think the right answer is to look at the history of technology as one continuous exponential, the history of the economy and society as one continuous exponential. And I really mean that. It\u2019s not just the technology. It\u2019s this social fabric and the kind of complex structure of the world that allows this technology to flourish and people to figure out what to do with it. And you have to embrace it continuously all the way through.<\/p>\n
If you miss out on any part of it, you\u2019re not ready for the next thing that will come. If you don\u2019t enable your people and your businesses with AI, they will not invent the next level of the scaffolding. But there will be more things. And I think it is tempting to say this one is different and it clearly is really important, but I would view it as a continuum.<\/p>\n
OpenAI\u2019s DNA: What Sets It Apart<\/p>\n
HOWARD LUTNICK (00:14:01 \u2013 00:14:25): So we all read about the various companies at the frontier. Can you sort of differentiate them for us? What do you view OpenAI as best at? What\u2019s the, you know, your DNA, if you will, that separates you from the others? And what are you great at? And just give us that sort of from your perspective.<\/p>\n
The Pragmatic Centrists: AI, Entrepreneurship, and Global Growth<\/p>\n
SAM ALTMAN (00:14:30 \u2013 00:16:31): I think from what matters to this room, we are the pragmatic centrists. We realize we want to be accurate in how we talk about what we see in the future. We don\u2019t want to fall into the trap of blind optimism. We don\u2019t want to fall into the trap of doomerism. This is clearly complex. There\u2019s clearly a combination of both excitement and anxiety, of transformation and risks that the world has to navigate. But by getting pulled into either extreme, we are not going to successfully figure out the challenges in front of us.<\/p>\n
We want to be a reliable partner. We really do view what we are doing as a platform, as a service to the world. We realize that different people around the world are going to use it very differently, and we want to put some sufficient constraints on our system to avoid catastrophic risks, but we really do want to respect all of your sovereignty and that you\u2019re going to use it in very different ways. And we personally may not always like it, but I don\u2019t like everything that people do with electricity either, and I still think everybody should get to have it.<\/p>\n
So, and then also I would say we want the whole global economy to succeed. We do not want to be the only company. We do not want to suck up all the value. We do not think that is good for global stability, nor do we think that\u2019s possible for the way that people need to flourish and people need to stay at the center of this. And we want to enable every entrepreneur, every government, every big company in the world to thrive with this technology.<\/p>\n
The last thing I\u2019ll say that I think differentiates us from some of the other companies is we are very firmly and very proudly on team humanity. We would like to build tools for people. We would like people\u2019s lives to be better. We think that people need to be at the center of the economy and society and global decision-making, and that people should run the future in AI.<\/p>\n
Entrepreneurship as the Fire Starter<\/p>\n
HOWARD LUTNICK (00:16:33 \u2013 00:16:51): So it seems that entrepreneurship should be really the fire starter of all this, right? You\u2019re\u2014 are you the kindling of it? I mean, maybe sort of tell me how entrepreneurship and OpenAI sort of work together.<\/p>\n
SAM ALTMAN (00:16:53 \u2013 00:18:22): But before OpenAI, I used to run a startup accelerator, and I had always been interested\u2014 not always. After I came to college, I\u2019d always been interested in entrepreneurship. And then having had this incredible front row seat, I really became convinced that entrepreneurship was maybe the most important novel force in all of capitalism. And I fell in love with it. And watching what new companies were able to do, and watching how large of a percentage of the new ideas that mattered in the tech industry over the last, 20 years or whatever came from startups and not big companies.<\/p>\n
Now, having seen this in other industries, I am a huge believer in entrepreneurship. I also think that I talk to a lot of people around the world, and they would much rather run a great lifestyle business than go work as a corporate cog. And I think that\u2019s great too. We should enable that. One of the things I got excited about early with AI, of course AI is going to transform big companies, and of course AI is going to transform governments, but what AI can do for entrepreneurs and for people that want to take an idea and bring it into the world quickly is really quite amazing. When I was running the startup accelerator, it lasted for 3 months, and the work that we\u2014<\/p>\n
HOWARD LUTNICK (00:18:22 \u2013 00:18:23): It lasted for 3 months?<\/p>\n
SAM ALTMAN (00:18:23 \u2013 00:18:47): You were in it for 3 months. And the work that we expected a startup to accomplish in 3 months is now probably doable in like 17 minutes with Codex. This is just amazing. The world has not caught up with what this is going to mean, not just for the economic value that gets created from that, but how quickly people can test ideas, build things, get feedback from real customers. We\u2019re all just going to get much better stuff.<\/p>\n
AI Adoption Is Non-Negotiable<\/p>\n
HOWARD LUTNICK (00:18:49 \u2013 00:19:06): So you use the term I want to sort of flesh it out a bit. Non-negotiable. Can you maybe help everybody understand what you mean about that and what that means for each of our partner ministers who are here today with us?<\/p>\n
SAM ALTMAN (00:19:11 \u2013 00:20:08): Again, I\u2019m biased. I\u2019m trying to talk my book here. Forgive me for this analogy. I think it would be approximately as bad of an idea to say we\u2019re not going to have AI in our country as it was to say we\u2019re not going to have electricity in our country, back 100+ years ago. I think this is something at that level. This is something that every person and every business and really the entire machine of society is going to need to deliver the quality of life that your citizens should demand.<\/p>\n
Now, electricity also came with some complexities, and it took a little while for us to figure out how to make it safe, but we made fairly rapid progress as a society to make it generally pretty safe, even though it can do a lot of bad things. And at this point, we barely think about electricity. We turn these lights on, we expect them to work. If the power shut off and I had to scream because this microphone was not working, I would be annoyed about that.<\/p>\n
HOWARD LUTNICK (00:20:10 \u2013 00:20:10): You\u2014<\/p>\n
SAM ALTMAN (00:20:10 \u2013 00:21:29): I won\u2019t go through all the examples. I see all the phones on the table. It would be hard for society to function well without electricity at this point. But we don\u2019t think about it much. We think about, there\u2019s light at night. That\u2019s great. We can hear these people speak in the room without them having to yell. That\u2019s nice. Our phones can do these amazing things for us. We care about our phones. We don\u2019t think too much about the electricity that gets generated to power them.<\/p>\n
And I think the same thing is going to happen with AI. My prediction is we won\u2019t be talking about AI as much as we do in a decade from now because we\u2019ll just expect it everywhere. A kid growing up today will never be smarter than AI, but he or she will also never have understood a world where every product and service that they interact with is not really smart and really capable and really helpful. Because we\u2019ll just be so used to that, we won\u2019t think about the AI. We\u2019ll just be like, yeah, I want my products to be good. If I have an idea, I want to be able to make it right away. I want this software to be created instantly for me. If I have a disease, I expect a cure to get discovered very quickly.<\/p>\n
So I think countries need to embrace this. Again, there\u2019s many ways to do it. People will set different rules. People will decide on what they want to build versus rent. But I think everyone will need this new commodity.<\/p>\n
Challenges Ahead: Cybersecurity, Concentration of Power, and Inequality<\/p>\n
HOWARD LUTNICK (00:21:31 \u2013 00:21:42): If we look forward 5 years and we come back to North Carolina all together, what will be holding us back, do you think, in your opinion?<\/p>\n
SAM ALTMAN (00:21:46 \u2013 00:23:46): Well, there are clearly challenges that we have to get right along the way. There will be specifics. For example, I\u2019m sure cybersecurity is a top-of-mind issue for many of you. We work with many of the governments in the room. We work with the state of North Carolina. We work with companies big and small. And I think we have a big challenge in front of us, to not try to sidestep this one. I think some things are going to go very wrong with cybersecurity unless people act quite urgently.<\/p>\n
There will be other challenges in the next 5 years. People talk about biosecurity and the things we\u2019re going to face there. There will be bigger ones yet to come. And I think if we don\u2019t successfully navigate those, society will not be able to adopt AI to the degree or to the speed with which people deserve. So successfully navigating the risks and downsides in front of us is something that could go very wrong, and I think will set this technology back, could set this technology back a great deal.<\/p>\n
Another thing that could go wrong is too much concentration of power. AI should be, in many ways, AI should be an equalizing force in the world. You talked about what it means to have like a reset on the educational capacity available to everybody. You can also see worlds where AI concentrates because some people make early investments and others don\u2019t, and there\u2019s bad inequities with compute or whatever. That\u2019d be bad. So I think if we fail to make AI abundant, it ends up being something that is very hotly competed over, rich people spend a huge amount of money on, and that would be a bad outcome. So I think we need to make it abundant so that we get the benefits of lifting everybody up and not much worsening inequality.<\/p>\n
Democratizing Intelligence Through Infrastructure<\/p>\n
HOWARD LUTNICK (00:23:46 \u2013 00:24:25): Right. As you said, if the smartest people in the world learned your language and all agreed to move to your country and work on whatever you wanted them to work on, that has to be the most incredible thing. Do you think that since you\u2019ll have all the smartest people speaking all those languages, can\u2019t they figure out a way, do you think, over time to deliver the same amount of compute more inexpensively without the same use of power, without the same\u2014 I mean, aren\u2019t these the kind of things that are going to happen that will democratize it by sort of by itself in a way?<\/p>\n
SAM ALTMAN (00:24:27 \u2013 00:26:19): It will still require huge investment. But yes, we will continue to make things vastly more efficient and we\u2019ll figure out how to make more and better chips and we\u2019ll figure out how to make smarter algorithms. All of that will happen. But to put some numbers on the magnitude of how much we need this to happen, again, I don\u2019t have these numbers in front of me. I\u2019m not going to get this exactly right, but forgive me for the approximation.<\/p>\n
At the beginning of 2020, the token leader in the world was an OpenAI employee using roughly 100,000 tokens a month. In the middle of 2026, the token leader that I know of\u2014 there may be somebody using more than this outside of OpenAI\u2014 was using hundreds of billions of tokens a month. So, a multi-million x increase in 6.5 years. And the average person on Earth had gone from using effectively zero tokens to 100,000 tokens a month. That was the global per capita thing.<\/p>\n
If we just naively project this forward again, which seems like a reasonable thing to do to me, and I hate tokens as a unit here. It\u2019s a dumb one. No one should care. But let\u2019s just take that as shorthand for amount of intelligence. Then in another 6.5 years, the average per capita use of tokens will go up to\u2014 let\u2019s round it down to 100 billion tokens a month. And the person using the most in the world will be using 100 quadrillion tokens a month. Even with great gains on efficiency, we are going to need to build much more infrastructure unless we want this to be a highly priced commodity, which we don\u2019t. We want this to be abundant, we want this to be inexpensive, we want people to just be able to use this for whatever they need.<\/p>\n
HOWARD LUTNICK (00:26:20 \u2013 00:26:42): So that\u2019s the driving force. If we globally can build enough, then intelligence will be broadly distributed, more democratized across the world. The world will be educated, or they\u2019ll have the access to education. Is that sort of the\u2014<\/p>\n
The Cost of Light, AI Abundance, and Optimism for the Future<\/p>\n
SAM ALTMAN (00:26:42 \u2013 00:28:33): Absolutely. To go back to the analogy of electricity, there\u2019s this amazing chart of what it cost to have an hour of light at night. And there was a time, one of the earliest data points you can find, is that it took an average of 5 hours of labor at the wage of the time to be able to pay for 1 hour of light at night.<\/p>\n
Electricity came along, it fell, we figured out how to make more electricity, so there was the supply and demand change curve. It fell again. We figured out how to make vastly more efficient light bulbs. We went from incandescent lights to LEDs. A whole bunch of other things happened. And now an hour of light at night is not something that people think of at all about the cost. I don\u2019t even know what the number is, but someone in here can do it. It\u2019s like very cheap to run a 5-watt bulb for an hour.<\/p>\n
If that hadn\u2019t happened, if we\u2014 and all of those things together had to happen, lots of electricity generation, huge innovation on the efficiency, all of these things. If that hadn\u2019t happened, then rich people get light at night and they can study more. They have a compounding effect. They can learn more, whatever. And poor people don\u2019t.<\/p>\n
So I think it\u2019s been very good that energy has become abundant and that light at night has become relatively, like, shockingly inexpensive. If that same thing happens with AI, and anybody on Earth, rich, poor, whatever, can use AI to get the abundant services that they need and to express their ideas and to start their businesses and whatever else, and we fulfill our mission of making AI so inexpensive and so smart that people are just like, they think about it like they think of the cost of an hour at night, of light at night, I think that\u2019d be really wonderful. And then this huge reset and democratization of education you\u2019re talking about can happen.<\/p>\n
On Doomers, Optimism, and the Promise of AI<\/p>\n
HOWARD LUTNICK (00:28:34 \u2013 00:28:56): So are you\u2014 look, there are doomers out there who worry about everything. But we know that if you look back through the Industrial Revolution, as you said, it always seems to work out fine. Are you fundamentally optimistic to what your products will do to the world and will serve the world?<\/p>\n
SAM ALTMAN (00:28:57 \u2013 00:31:06): I think part of the reason it tends to work out fine is people worry and they stress and they look at the downsides and they try to address those and they try to learn how we avoid accidents. So if we go back to an early example, even before electricity, of a technology, fire was incredible, incredible for human evolution, incredible for letting us cook our food and heat our homes at night and whatever else. It also burnt down whole cities.<\/p>\n
A few times, and people really worried about that because we don\u2019t want cities to burn down. And we figured out fire safety, and through a lot of human ingenuity, through a lot of good policy, definitely through learning from some very bad accidents, we figured out how to make it safer. Now, had we just said like, yeah, some cities are going to burn down, whatever, we got other problems to work on, probably wouldn\u2019t have figured that out. And that wouldn\u2019t have been as good.<\/p>\n
So I think worry is warranted. Worry is how we anticipate problems and how we, from a matter of policy and a matter of technology, figure out how to address them. But I am optimistic that we can mitigate the downsides of this technology.<\/p>\n
And if you look at what\u2019s happened, if you look at what the doomers were saying 5 years ago about the chances of us being able to make AI of this level, of this sort of near-human, sometimes superhuman capacity level, broadly considered safe and reliable. Not perfect. There have been accidents. There will be accidents, of course. I don\u2019t think most people would have thought it was going to go this well as it has so far.<\/p>\n
And I believe in human ingenuity and the ability to solve very difficult, very complex problems. And I think we\u2019ll keep doing that. And I think the economic value and the personal value is so huge. I met with someone just this morning who told\u2014 and again, I\u2019m sure you\u2019ve all heard stories like this\u2014 that they wouldn\u2019t be alive without ChatGPT and that they had a very difficult disease and got a diagnosis that doctors weren\u2019t able to give them. We shouldn\u2019t take that away. Yeah, we need to figure out how to make the technology safe so that people can have more of that. Great.<\/p>\n
Closing Remarks<\/p>\n
HOWARD LUTNICK (00:31:06 \u2013 00:31:22): So Sam, thank you for joining us. It was really an incredible conversation. 2 o\u2019clock, so 2 PM in the ministerial room where we will have Alex Karp will be our next guest speaking to us.<\/p>\n
SAM ALTMAN (00:31:22 \u2013 00:31:23): He\u2019s a good one.<\/p>\n
HOWARD LUTNICK (00:31:23 \u2013 00:31:28): He\u2019s a good one. But thank you, Sam, for joining us. Thank you. We really appreciate it.<\/p>\n
SAM ALTMAN (00:31:28 \u2013 00:31:31): Thank you.<\/p>\n
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