The episode features Jensen Huang, founder and CEO of NVIDIA, discussing the company's origin story, AI development, and his relationship with President Trump and Elon Musk.

Jensen recounts delivering the first DGX1 supercomputer to OpenAI in 2016 when it was just a nonprofit with researchers in a single room, and more recently giving Elon Musk the DGX Spark.

The conversation explores Jensen's immigrant journey from Taiwan through Thailand to Oneida, Kentucky—America's poorest county—where he attended boarding school at age nine, cleaned toilets, and briefly smoked cigarettes to fit in.

Jensen details NVIDIA's near-death experiences in the 1990s, including choosing wrong technology, running out of money, and being saved by Sega CEO Irimajiri's $5 million investment and TSMC's Morris Chang allowing unprecedented untested chip production.

The discussion covers AI safety, consciousness debates, energy constraints, Moore's Law versus "NVIDIA law," and Jensen's philosophy of constant vulnerability and fear-driven leadership despite running one of the world's most valuable companies.

Trump Administration's Impact on AI and Energy

Jensen describes Trump as "an incredibly good listener" who remembers almost everything said to him, contrary to public perception. First meeting focused on onshore manufacturing and national security.

Secretary Lutnick's opening statement: "Jensen, this is Secretary Lutnick. I just want to let you know that you're a national treasure. NVIDIA is a national treasure. Whenever you need access to the president, the administration, you call us."

"If not for his pro-growth energy policy, we would not be able to build. None of that stuff would be possible" - Jensen credits Trump's drill, baby, drill approach with enabling AI industry expansion through energy growth.

Energy growth enables industrial growth which enables job growth. Without energy growth, construction jobs, electrician jobs, and manufacturing jobs would be challenged according to Jensen's analysis.

AI Safety Through Cybersecurity Model

Jensen argues AI won't achieve sudden sentience but will improve gradually: "It won't be a moment. It won't be as if somebody arrived and nobody else has. Things just get better and better and better."

AI safety follows cybersecurity principles where the entire community works together, sharing threat detection, patches, and best practices across all companies rather than competing.

"The moment something has been breached or maybe there's a loophole, it is shared by everybody. The patches are shared with everybody" - Jensen

This cooperation has been standard practice for approximately 15 years in cybersecurity

Computing power increases are channeled toward safety features like reflection, research, and grounding in truth rather than raw capability. AI today is 100 times more capable than two years ago but focused on reducing hallucination.

"Your AI is conscious, and my AI is conscious. Maybe your AI wants to do something surprising. My AI is so smart that it might be surprising to me, but it probably won't be surprising to my AI" - Jensen's argument against single AI dominance.

Jensen distinguishes between consciousness (experience, self-awareness, feelings) and intelligence (knowledge, capability). AI has artificial intelligence but not artificial consciousness.

Post-Quantum Encryption and Technology Race

Quantum computers threaten to make current encryption obsolete by solving problems in minutes that would take all supercomputers billions of years.

"I'm not sure" how to create post-quantum encryption, "but I've got a bunch of scientists who are working on that" - Jensen on addressing quantum computing threat.

Jensen rejects doomsday scenario where encryption becomes permanently obsolete, citing history as guide: "We were always concerned about new technology. All of this concern is channeled into making the technology safer."

Technology leadership provides superpowers in information, energy, and military domains. "Technology leadership is really important" because "if somebody else has superior technology" creates existential risk.

Moore's Law and the NVIDIA Acceleration

Moore's Law doubled computing performance annually, but more importantly halved the cost and energy consumption every year. Over 10 years, energy requirements reduced by factor of 10,000.

NVIDIA's accelerated computing improved performance by 100,000 times in the last 10 years—"like Moore's Law on energy drinks" or "Moore's Law on Joe Rogan."

DGX1 delivered one petaflop for $300,000 in 2016. DGX Spark delivers one petaflop for $4,000 in 2025—75x price reduction in 9 years while shrinking to book size.

"In 10 years' time, the amount of energy necessary for artificial intelligence for most people will be minuscule, utterly minuscule" - Jensen predicts AI will run on minimal energy everywhere.

Energy production is current bottleneck for AI. Google building hundreds-of-megawatts nuclear power plants local to AI factories, contributing back to grid.

Universal Basic Income vs. Universal Wealth

Jensen challenges Elon Musk and Andrew Yang's UBI predictions: "Both ideas probably won't exist at the same time. We're either going to be all wealthy or we're going to need universal basic income."

Radiologists example: Jeff Hinton predicted AI would eliminate all radiologists in 5 years. Instead, demand increased because AI enabled studying more images in 3D and 4D, improving diagnosis.

"The purpose of a radiologist is to diagnose disease, not to study The image. The image studying is simply a task in service of diagnosing the disease" - Jensen

Jobs are purposes, not tasks. Automation eliminates tasks but creates new industries. Robot industry will generate jobs in manufacturing, maintenance, mechanics, and even robot apparel.

Wealth redefined: "Today we are wealthy of information. This is a concept several thousand years ago only a few people have." Future wealth comes from abundant resources that are currently scarce.

AI will collapse technology divide because it's easiest application ever created. ChatGPT reached nearly 1 billion users practically overnight. "If you don't know how to use ChatGPT, you ask ChatGPT how to use it."

Deep Learning Revolution and AlexNet Breakthrough

2012 breakthrough: Jeff Hinton's lab (Ilya Sutskever, Alex Krizhevsky) created AlexNet using two NVIDIA GTX 580 graphics cards in SLI configuration—"the big bang of modern AI."

AlexNet recognized images better than 30 years of human-created computer vision algorithms combined. This caught Jensen's attention and changed NVIDIA's direction.

Deep learning works as universal function approximator: instead of humans writing f=ma, you give neural network inputs and outputs, it figures out the function inside through back propagation.

Can learn Newton's equations, Maxwell's equations, Coulomb's law, thermodynamics, Schrodinger's equation—any problem with input and output

Two requirements for scaling: proving it could scale to giant systems, and waiting for unsupervised learning where AI learns by itself (masking words, predicting next word).

Unsupervised learning example: "Mary goes down to the bank" - AI determines river bank vs. money bank by context. Adding "caught a fish" confirms river bank.

The DGX1 Launch and OpenAI's Beginning

Jensen announced DGX1 at GTC 2015/2016 for $300,000. "The audience was like completely silent. They had no idea what I was talking about. I had no purchase orders, not one."

Elon Musk at the event: "I have a company that could really use this. It's a non-profit company." Jensen recalls: "All the blood drained out of my face. I just spent a few billion dollars building this thing."

Jensen personally delivered first DGX1 to OpenAI in 2016. "I walk up to the second floor where they were all kind of in a room. Peter Thiel was there. Ilya was there. That place turned out to have been OpenAI."

NVIDIA had already built FSD computer version one for Tesla's Model S autonomous vehicle system before DGX1, establishing partnership with Elon.

NVIDIA's Near-Death Experiences in the 1990s

1995 crisis: NVIDIA chose wrong technology approach (curved surfaces instead of triangles, no Z-buffers) while 100 competitors chose correctly. "We were the first company to start. We found ourselves essentially dead last with the wrong answer."

Jensen flew to Japan to meet Sega CEO Irimajiri at age 33: "I explained that the technology we promised doesn't work. We shouldn't finish your contract. I recommend you find another partner. Even though you're gonna let me out of the contract, I'm asking you to convert the last $5 million to an investment."

"If you invested that $5 million in us, it is most likely to be lost. But if you didn't invest that money, we'd be out of business and we would have no chance" - Jensen's honest pitch to Irimajiri.

Irimajiri's decision: "Jensen was a young man he liked. That's it." The $5 million would be worth approximately $1 trillion today; Sega sold at IPO for $300 million valuation.

NVIDIA laid off most employees, bought three $60 textbooks from Silicon Graphics, gave one to each architect: "Read that and let's go save the company." They learned 3D graphics from textbooks.

The Riva 128 Miracle and TSMC Gamble

NVIDIA bought emulator machine for $1 million—half their remaining cash—from company going out of business. "We had no customers. We made the machine. We have one in inventory if you want it."

Jensen called TSMC founder Morris Chang: "I told them I had a lot of customers. I had one, Diamond Multimedia. I like to go directly to production because I know it works." Nobody had ever done this before.

"If I didn't start the production, I'd be out of business anyways. If I could start the production, I might have a chance" - Jensen's reasoning for unprecedented untested production run.

Morris Chang flew to US during production, asked if NVIDIA had money to pay. "The truth is that we didn't have all the money. But we had a strong PO from the customer. If it didn't work, some wafers would have been lost."

Riva 128 worked perfectly, revolutionized computer graphics. NVIDIA became fastest growing technology company in history from zero to $1 billion. This methodology of chip design is now used throughout the world.

GeForce Strategy and Gaming Market Creation

NVIDIA narrowly focused on video games instead of building 3D graphics for every application (CAD, flight simulators). "We bet the farm on video games."

Created ecosystem working with game developers, porting and adapting games to NVIDIA platform. "GeForce is really the game console inside your PC."

1993 mission statement was impossible: create new computing architecture for problems that don't exist yet. "If normal computers can't solve them, why would the application exist?"

NVIDIA founders spent afternoons at arcades studying Sega's Virtual Fighter and Daytona, which used Martin Marietta flight simulator technology. "We told our family we were going to work, but it was just the three of us, who's going to know."

Partnership with Sega: NVIDIA would build chip for Sega game console in exchange for Sega porting games to PC, starting the 3D PC gaming industry.

CUDA Launch and Stock Price Collapse

2005-2006: NVIDIA added CUDA to graphics chips, enabling general-purpose GPU computing. "Nobody paid for it, but our cost doubled." Stock price collapsed from $12 billion to $2-3 billion valuation.

"When I launched CUDA, the audience was complete silence. No customer wanted it. Nobody asked for it. Nobody understood it" - Jensen on initial reception.

Decision philosophy: "Do we believe this or not? If you believe it, and it's grounded on first principles, not random hearsay, and we believe it, we owe it to ourselves to go pursue it."

CUDA enabled AI revolution 20 years later. "That invention changed the world" despite crushing NVIDIA's stock price initially.

Jensen's Leadership Philosophy and Work Ethic

"I have a greater drive from not wanting to fail than the drive of wanting to succeed. I'm not ambitious. I just want to stay alive, Joe. I want the company to thrive."

Works seven days a week, wakes at 4am, reads several thousand emails daily. "Not one day missed. Including Thanksgiving, Christmas." Even on vacation with family, works constantly.

"The feeling doesn't change" despite being one of biggest companies on Earth. "The sense of vulnerability, the sense of uncertainty, the sense of insecurity. Every morning, the phrase 30 days from going out of business, I've used for 33 years."

Longest running tech CEO in the world. Two rules: "One, don't get fired. That'll stop a short heartbeat. And then two, don't get bored."

"Sometimes it's enthusiasm. Sometimes it's just good old-fashioned fear. And then sometimes a healthy dose of frustration. Whatever keeps you moving. Just all the emotions."

Vulnerability enables leadership: "The more vulnerable we are as a leader, the more able other people are able to tell you. If we put ourselves into this superhuman capability, then it's hard for us to pivot strategy."

Immigrant Journey: Thailand to Oneida, Kentucky

Born in Taiwan, moved to Bangkok where father worked as chemical and instrumentation engineer starting oil refinery. 1973-1974 military coup prompted parents to send children to America.

Age nine, Jensen and 11-year-old brother sent to uncle in Tacoma, Washington they'd never met. Uncle found school accepting foreign students: Oneida Baptist Institute in Clark County, Kentucky.

Clark County was poorest county in America when Jensen arrived, remains poorest today. Town of 600 people, no traffic light, held same population for decades.

School mission was open enrollment for troubled students. "100% of the kids smoked. My roommate was 17 years old, jacked, covered in tape from fresh knife fight wounds. I was the youngest kid in school."

No drawers, no closet doors, no locks "just like a prison." Jensen's chore was cleaning toilets and dorms. Brother worked tobacco farm to raise money for school.

Jensen smoked for a week at age nine to fit in, learned to blow smoke rings. "I just rather buy popsicles and french sickles with it. I chose the better path."

Communication with parents: monthly tape recordings on IWA tape deck sent by mail. "For two years it's that tape. My parents would record back on top of it and send it back to us."

Told parents about McDonald's after swim meet: "We went to the most amazing restaurant today. This whole place is lit up. It's like the future. The food comes in a box. The hamburger is incredible."

Parents' American Dream and Early Struggles

Parents came to US in late 30s/early 40s with just suitcases and money in pockets, left everything behind. Father found job through newspaper classified ads as consulting engineer.

Mother worked as maid. They rented furniture in apartment complex. Most impactful memory: crushing particle wood coffee table while playing, seeing mother's face knowing they couldn't afford to replace it.

"I'm the first generation of the American dream. It's hard not to love this country. It's hard not to be romantic about this country" - Jensen on immigrant experience.

"You don't have to go to Ivy League schools to succeed. This country creates opportunities for all of us. You do have to strive. You have to claw your way here. But if you put in the work, you can succeed."

NVIDIA's Unique Position and Future Vision

NVIDIA is only large tech company whose sole business is technology itself—no advertising, social media, or content distribution. "The only way that we make money is to create amazing technology and sell it."

Largest gaming platform in the world. Jensen used to build his own computers, bought NVIDIA graphics cards, set up SLI configuration for Quake.

Staying alert requires systematic approach: fundamental research lab, partnerships with universities, working across every industry from agriculture to energy to video games provides broadest vantage point of any company.

"I probably read several thousand emails a day. I wake up early this morning, I was up at 4 o'clock. I haven't found a single way of being able to stay alert without paying attention."

Both children work at NVIDIA, work every day. "It's brutal now because it's not just me working every day. Now we have three people working every day, and they want to work with me every day."

"People who are successful leave the impression that our job gives us great joy. But it distracts from the fact that a lot of success comes from really, really hard work, long periods of suffering and loneliness and uncertainty and fear."