Written by: Techub News整理
In the latest episode of "The Joe Rogan Experience" podcast, host Joe Rogan engaged in a deep conversation lasting 148 minutes with NVIDIA founder and CEO Jensen Huang. As a central figure in the AI computing revolution, Huang opened up in this rare non-technical interview, discussing not only grand topics such as the future of AI technology, geopolitical competition, and technological security, but also sharing for the first time in detail his personal journey from moving from Thailand to a poor town in Kentucky, USA, ultimately founding and leading NVIDIA to become one of the world's most valuable companies. This conversation serves as a valuable window into understanding the driving forces and philosophical thinking behind the current AI wave.
AI Competition, Security, and "Huang's Law"
The dialogue began with the current fierce global technological competition. Jensen Huang acknowledged that the world is in a "huge technological race," which is crucial because "whether people realize it or like it, it is happening." He believes that the country or entity that reaches a certain "event horizon" in artificial intelligence first will gain a huge advantage. However, he emphasized that technological competition is nothing new; human history has always been accompanied by technological rivalry, from the Industrial Revolution to the Manhattan Project and the Cold War.
Concerning the core concern of AI safety, Huang offered an analogy relating to the increase in horsepower in cars. He believes that much of the "power" growth of technology is directed toward improving safety and functionality, just as increased horsepower not only makes cars faster but also enables safety features like ABS and traction control. "We leverage the tremendous increase in AI computing power to guide it towards generating safer and more authentic results." He noted that early AI faced criticism for "hallucination" issues, whereas people now use AI in large numbers because such hallucinations have significantly decreased.
When Joe Rogan pressed on military applications and the "doomsday fears" of AI gaining consciousness and going out of control, Huang spoke more like a pragmatic engineer than a science fiction enthusiast. He welcomed the use of AI capabilities for defense by the U.S. military and tech startups, believing that powerful military strength is one of the necessary conditions to avoid conflicts. Regarding AI consciousness, he stated bluntly: "I do not believe that (AI will achieve consciousness)." He argued that current AI is a manifestation of knowledge and intelligence, fundamentally different from "consciousness" and "experience." The "threat" posed by AI behavior may simply be a strategic response generated based on massive text patterns, rather than genuine intent or awareness.
Huang predicts that within the next two to three years, 90% of the world's knowledge content could be generated by AI. However, he believes that this is "not a problem" because humans will still need to fact-check, just as they do today, ensuring that it is based on fundamental principles. The key is that AI will greatly lower the technical barriers. "ChatGPT grew to nearly 1 billion users almost overnight... No tool in history has ever had such a capability." He believes AI has a real opportunity to narrow the "digital divide," as anyone can interact with AI in any human language without needing to learn Python or C++.
When discussing the biggest bottleneck to current AI development—energy—Huang presented a striking viewpoint: "Huang's Law" (which he calls the "NVIDIA Law") is taking over the baton from Moore's Law. He pointed out that over the past decade, through accelerated computing, NVIDIA has increased computational performance by 100,000 times. "Imagine if a car became 100,000 times faster within ten years, or became 100,000 times cheaper at the same rate, or consumed 100,000 times less energy." He predicts that in the next decade, the energy required to run AI will become "trivial," as AI will be embedded in everything and operate continuously. Regarding the energy demand of large AI factories, he foresees that in the next six or seven years, many small nuclear reactors (in the hundreds of megawatts range) will emerge, providing local power for specific companies and alleviating stress on the power grid.
Work, Meaning, and Future Society
The conversation shifted to the impact of AI on employment and social structures. Joe Rogan referenced Elon Musk's idea of "universal high income," where AI generates vast amounts of income, allowing people not to work in jobs they dislike for financial reasons. However, Rogan expressed concern that humans strongly associate identity with occupation, and losing a job may trigger an existential crisis.
Huang did not outright deny the possibility of "universal high income," but he provided a more nuanced historical perspective. He cited the prediction from "the father of deep learning," Geoffrey Hinton, who five years ago predicted AI would "sweep" through the entire radiology field within five years, leaving radiologists unemployed. Today, while AI has indeed penetrated radiology, the number of radiologists has actually increased. The reason is that the "purpose" of radiologists is to diagnose diseases, while analyzing images is merely a task to achieve that purpose. AI has taken over the analytical tasks (performing faster, more accurately, and capable of processing 3D/4D images), enabling hospitals to serve more patients and achieve better economic efficiency, which in turn has led to hiring more radiologists to focus on the diagnostics themselves.
"So the question is, what is the 'purpose' of work? Has the purpose changed?" Huang used this framework to analyze other professions. The goal of a lawyer is to help people; drafting documents is only a task; the goal of a driver may be to provide protection or be part of a service experience. If work is merely automation of tasks, it can be replaced. But new industries will arise; for example, as Elon Musk develops humanoid robots, new careers like "robot clothing" and "robot technician" will emerge.
He concluded that people need to find deeper meanings beyond "tasks." The future society may blend two views of "universal high income" and "universal basic income," or due to resource abundance (similar to the richness of information), people's definitions of "wealth" itself may change.
From Kentucky Boy to Silicon Valley Legend: Jensen Huang's American Dream
In the latter half of the podcast, Huang shared his little-known early experiences, a story that deeply moved Joe Rogan, who labeled it a "true American dream."
Huang was born in Taiwan and moved to Thailand during his childhood due to his father's job. Between 1973 and 1974, Thailand experienced political turmoil, with tanks and soldiers appearing on the streets. For safety reasons, his parents sent 9-year-old Huang and his 11-year-old brother to the United States to stay with an uncle they had never met, living in Tacoma, Washington. Due to financial difficulties, the uncle found a church boarding school in Oneida, Kentucky called Oneida Baptist Institute, which was one of the poorest counties in the United States at the time.
Huang recalled that the town had only about 600 people and no traffic lights. 100% of the students at the school smoked, and his roommate was a 17-year-old, covered in tape (to conceal knife wounds), known as "the hardest kid in school." As the youngest child in the school, he had the job of cleaning the bathrooms in dormitories of 100 boys. "I cleaned more toilets than anyone else," he laughed. To "fit in," at 9 years old, he had also tried smoking but ultimately gave it up because he preferred to spend his pocket money on ice pops.
Due to lack of money for international calls, the brothers communicated with their parents through a cassette tape. Each month, they would talk into the recorder about their lives and send it back to Thailand; their parents would record a reply and send it back. Huang excitedly told his parents on the tape that he joined the swimming team and the soccer team, as after the games, they would go to a "magical restaurant that was lit up like the future," with "food in boxes" — McDonald's.
Two years later, their parents immigrated to the United States to join them. When they first arrived, the family lived in hardship. Huang still vividly remembers when he and his brother broke a rented particleboard coffee table while playing, and the worried expression on their mother's face, unsure how to compensate. His father found a job as a consulting engineer through newspaper ads, designing oil refineries, paper mills, and semiconductor fabs; his mother worked as a maid. They thus established their roots in America.
"This is the American dream. I am the first generation of the American dream," Huang said emotionally. "This country creates opportunities, providing opportunities for all of us. You must strive; you must work hard to climb up... But if you put in the effort, you can succeed."
He candidly stated that this experience shaped him. Today, he wakes up at 4 AM every day to read thousands of emails, working year-round, including on Thanksgiving and Christmas. His two children also work at NVIDIA and are equally diligent. "I was born with a 'work gene' and a 'hardship gene'." He believes that people often only see the happiness that success brings, overlooking the "long periods of pain, loneliness, uncertainty, fear, embarrassment, and humiliation" behind it. Creating new things is extremely difficult, and "most of the time, you are not believed." He emphasized that suffering is part of the journey, and these difficult times make the gratitude and pride upon succeeding even deeper.
Faith and Persistence: NVIDIA's Life-and-Death Moments
Huang reflected on several crucial "moments of faith" in NVIDIA's history. Around 2005, the company decided to incorporate CUDA technology into its graphics chip to enable accelerated computing and support future AI. This was a huge gamble: adding CUDA doubled the cost of the chips, but at that time, no customers needed or understood it. As a result, NVIDIA's stock price plummeted, and its market value dropped from about $12 billion to $2-3 billion. "I messed up the company," he admitted.
"But if you believe in that future and do not act, you will regret it for the rest of your life," Huang said. His decision-making logic is based on "first principles" instead of hearsay: if he believes it is correct, if it's extremely difficult, and if they are the right people to pursue it, then they must chase it. When they launched the first DGX AI supercomputer, the audience was silent; the same happened when they introduced CUDA, and it went unnoticed.
The turning point came in 2012. Ilya Sutskever and Alex Krizhevsky from Geoffrey Hinton's lab at the University of Toronto used two NVIDIA GPUs to train AlexNet, achieving a significant breakthrough in image recognition and sparking the deep learning revolution. NVIDIA's GPUs became the default platform for AI research due to their parallel computing capabilities. Huang keenly sensed this wave and went all in. "This invention changed the world," he summarized.
At the end of the conversation, Joe Rogan asked Huang, as one of the most influential tech leaders in the world today, if he felt it was "surreal" reflecting on his journey from a poor town in Kentucky. Huang's answer was humble and grateful: "I live a wonderful life... (Success is due to) a lot of luck, many good decisions, and the kindness of others." He listed members of the NVIDIA board and many who had helped him. This conversation not only showcased a tech giant's insights on the future of the industry but also revealed a touching story of an immigrant family realizing their dreams through resilience, hard work, and belief in themselves in a foreign land.
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