Nvidia, the world's leading artificial intelligence chip manufacturer, recently delivered a series of eye-catching views at the New York Times' annual dealbook summit, including the future development of artificial intelligence, industry competition, business philosophy, and the construction of a local chip chain in the United States.
Jensen Huang is the founder and CEO of Nvidia and one of the world's most influential technology leaders. He co-founded Nvidia in 1993 to focus on the development and application of graphics processing units (GPUs), which have become the core equipment for training and running AI models with the rise of artificial intelligence, causing the company's stock price and market capitalization to soar in recent years.
Huang's leadership style has been studied and emulated by other tech founders, such as Apple's Steve Jobs or Meta's Mark Zuckerberg.
At the New York Times' annual DealBook Summit, Huang talked about the future of AI technology, arguing that AI is catching up with humans, and that we could see artificial general intelligence (AGI) in the next five years, that is, computers that can accomplish a variety of tasks in a way that rivals human intelligence.
If AGI is defined as a computer that can pass tests comparable to human intelligence, then "in the next five years, it is clear that AI will be able to pass these tests," he explained. He also pointed out that Nvidia's chips today would not be possible without artificial intelligence, which has changed the way chips are designed and developed, allowing computers to generate sentences, images, and other things.
Huang also touched on competition in the industry, saying that Nvidia is not worried about increasing competition, and that the company has been ahead of the curve for a decade, launching its first supercomputer in 2012, designed for deep Xi and artificial intelligence.
He said that artificial intelligence is not a problem of chips, but of computer modifications, and every aspect of computers has changed radically, and it will take time for competitors to catch up. He also revealed that OpenAI's first artificial intelligence supercomputer was bought by Musk, and he delivered the supercomputer to OpenAI on the same day.
Huang also talked about the issue of the United States building a local chip chain, saying that it may take up to 20 years for the United States to break its dependence on Chinese chip manufacturing and establish a local chip chain system. He explained that NVIDIA's products rely on countless parts from all over the world, not just Taiwan.
However, the most important components are made in Taiwan. "We are still 10 to 20 years away from becoming independent," he said. But in the next 10 or 20 years, it is unrealistic to achieve complete independence of the ** chain. He also warned that the regulations could have unintended consequences, with as many as 50 companies in China currently working on technologies that compete with Nvidia's products.
Huang's remarks reflect his deep understanding and vision of AI technology, as well as his confidence and ambition in NVIDIA's business and strategy.
The development of artificial intelligence technology has exceeded many people's expectations, and it may be possible to realize general artificial intelligence in the near future, which will be a major turning point in human history, and will also bring great opportunities and challenges. People need to pay attention to the progress and impact of AI, think about how to use AI to create value and solve problems, and at the same time guard against the risks and ethical issues that AI may bring.
As a leader in artificial intelligence chips, NVIDIA has a strong technical advantage and market position, but it is also facing competition and pressure from all sides. NVIDIA needs to continue to innovate and invest to maintain control and leadership of AI technology, while also building good relationships with partners and customers to expand the use cases and impact of AI.
The United States and China are the world's largest chip markets and chip manufacturing countries, and the chip competition between the two countries is not only about economic interests, but also about national and international status. The United States is trying to build a local chip chain and reduce its dependence on China, but this is a long-term and difficult task that requires huge investment and coordination. China is trying to improve the R&D and production capacity of its own chips to narrow the gap with the United States, but this also needs to overcome technological and market barriers. The chip cooperation and competition between the two countries will affect the pattern and development of the global chip industry.
The development of artificial intelligence technology will continue to change the world, and NVIDIA, as a leader in artificial intelligence chips, will face more opportunities and challenges. In the future, Nvidia may make the following efforts:
Launch more advanced and efficient AI chips to meet the AI needs of different industries and fields, improve the performance and reliability of AI, and build AI infrastructure and platforms.
Expand the application scenarios and influence of artificial intelligence, establish in-depth cooperative relations with partners and customers from all walks of life, provide customized artificial intelligence solutions, and create more value and social benefits.
Participate in the formulation and promotion of standards and norms for artificial intelligence, work with all sectors of society on the ethics and responsibilities of artificial intelligence, and promote the sustainable and responsible development of artificial intelligence.
Maintain and enhance NVIDIA's brand and reputation, maintain good communication and interaction with the public and **, showcase NVIDIA's vision and values, share NVIDIA's innovation and achievements, and attract and retain outstanding talents and investors.
Pay attention to the changes and trends in the global chip industry, maintain cooperation and communication with industry associations, respond to possible political risks, find new markets and opportunities, and improve NVIDIA's competitiveness and influence.
As NVIDIA's CEO, Huang demonstrated his passion and confidence in AI technology, as well as his clarity and commitment to NVIDIA's business and strategy. His remarks sparked people's thinking and discussion about the future development and impact of artificial intelligence technology, and also pointed out the direction and goals for the development of NVIDIA.
The development of artificial intelligence technology will continue to change the world, and NVIDIA, as a leader in artificial intelligence chips, will face more opportunities and challenges. We look forward to seeing more innovation and contributions from NVIDIA in the field of artificial intelligence.