A bold statement about AI, bridging the technology divide
NVIDIA Founder, President, and CEO Jensen Huang's key takeaways during the World Government Summit.
NVIDIA is now known as the “Godfather of AI”.
Since the introduction of ChatGPT back on November 30, 2022, NVIDIA is also in the news, with nearly the same prominence. Its stock will tell you the real story.1
Forget beating Amazon and Google, now NVIDIA is part of the $2 trillion club.
- www.fortune.com
As of March 1st, Microsoft is worth around $3.04 trillion, while Apple is close behind at $2.875 trillion, according to Google Gemini.
NVIDIA Founder, President, and CEO Jensen Huang recently shared some intriguing insights about the future of programming. During the World Government Summit in Dubai, he made a bold statement:
It is our job to create computing technology such that nobody has to program, and that the programming language is human. Everybody in the world is now a programmer. This is the miracle. This is the miracle of artificial intelligence. For the very first time, we have closed the gap.
I’m eagerly waiting for that to happen. I’m a big fan of no-code tools. But this vision is one step higher than a regular no-code tool. Imagine a future where our native language becomes the programming language itself!
Like chatting to an AI and creating with your imagination, I think for designers and engineers, this is a much more efficient way to work. We can explore new ideas, iterate quickly, and bring creations to life with greater speed and precision than ever before.
The possibilities are truly endless!
Interesting moments from the conversation
Below are the timestamps and key takeaways from the video uploaded to the World Governments Summit’s YouTube channel, titled “A Conversation with the Founder of NVIDIA: Who Will Shape the Future of AI?”
01:34 | Revolution
Well, first of all, these are amazing times. These are amazing times because we're at the beginning of a new industrial revolution. Production of energy through steam, production of electricity, IT and information revolution with PC and Internet, and then now artificial intelligence. We are experiencing two simultaneous transitions, and this has never happened before.
03:21 | Accelerating into the future
We're in the beginning of this new era. And what's going to happen is, there's about a trillion dollars' worth of installed base of data centers around the world. And over the course of the next four or five years, we'll have two trillion dollars' worth of data centers that will be powering software around the world. And all of it's going to be accelerated. And this architecture for accelerated computing is ideal for this next generation of software called Generative AI. And so, that's really at the core of what is happening.
While we're replacing the installed base of general-purpose computing, remember that the performance of the architecture is going to be improving at the same time. So, you can't assume just that you will buy more computers. You have to also assume that the computers are going to become faster. And therefore, the total amount that you need is not going to be as much.
04:51 | Million times
One of the greatest contributions we made was advancing computing and advancing AI by 1 million times in the last 10 years. And so whatever demand that you think is going to power the world, you have to consider the fact that it is also going to do it 1 million times larger, faster, you know, more efficiently.
07:06 | The age of AI
There's an awakening of every single country in probably the last six months that artificial intelligence is a technology you can't be mystified by. You cannot be terrified by it. You have to find a way to activate yourself to take advantage of it. And the reason for that is because this is the beginning of a new industrial revolution, and this industrial revolution is about the production not of energy, not of food, but the production of intelligence.
And every country needs to own the production of their own intelligence, which is the reason why there's this idea called Sovereign AI2. You own your own data. Nobody owns it. Your country owns the data. It codifies your culture, your society's intelligence, your common sense, your history. You own your own data. You, therefore, must take that data, refine that data, and own your own national intelligence. You cannot allow that to be done by other people. And that is a realization.
Now that we've democratized the computation of AI, the infrastructure of AI, the rest of it is really up to you to take initiative, activate your industry, build the infrastructure as fast as you can so that the researchers, the companies, your governments can take advantage of this infrastructure to go and create your own AI.
10:47 | Into every domain
Remember that AI is not just about language. We're seeing several AI revolutions happening at the same time. AI for language. AI for biology, learning the language of proteins and chemicals. AI for physical sciences, learning the AI of climate, materials, energy discovery. AI of IOT, the language of keeping places safe, computer vision and such. AI for robotics and autonomous systems, manufacturing and such.
There's AI revolutions happening, AI breakthroughs happening in all of these different domains. And if you build the infrastructure, you will activate the researchers in every one of these domains.
Without the internet, how can you be digital? Without farms, how can you produce food? Without an AI infrastructure, how can you activate all of the researchers that are in your region to go and create the AI models?
12:41 | Democratizing AI
Whatever new incredible technology is being created, you go back to the earliest of times, it is absolutely true, we have to develop the technology safely, we have to apply the technology safely, and we have to help people use the technology safely. And so, whether it's the plane that I came in, cars, manufacturing systems, medicine, all of these different industries are heavily regulated today. Those regulations have to be extended, augmented, to consider artificial intelligence.
Artificial intelligence will come to us through products and services. It is the automation of intelligence, and it will be augmented on top of all of these various industries. Now, it is the case that there are some interests to scare people about this new technology, to mystify this technology, to encourage other people to not do anything about that technology and rely on them to do it. And I think that that's a mistake. We want to democratize this technology.
Let's face it, the single most important thing that has happened last year, if you were to ask me, the one single most important event last year and how it has activated AI researchers here in this region, it's actually Llama 2. It's an open source model. Or Falcon, another excellent model, very true. Mistral, excellent model. I just saw another one, Smaug. There's so many open source models.
Innovations on safety, alignment, guard railing, reinforcement learning. So many different reasonings. So many different innovations that are happening on top of transparencies, explainability, all of this technology that has to be built. All were possible because of some of these open source languages. And so I think that democratizing, activating every region, activating every country to join the AI advance is probably one of the most important things. Rather than convincing everybody it's too complicated, it's too dangerous, it's too mystical, and only two or three people in the world should be able to do that, that I think is a huge mistake.
15:46 | NVIDIA - the backbone of AI across all platforms
All of the large companies in the world, there are internal developments.
At Google, there's TPUs. At AWS, there's Trainium. At Microsoft, there's Maia. Meta has chips that they're building. In China, just about every single CSP3 has chips that they're building. The reason why you mention NVIDIA GPUs is NVIDIA GPU is the only platform that's available to everybody on any platform. That's actually the observation. It's not that we're the only platform that's being used.
We're simply the only platform that's used that democratizes AI for everybody's platform. We're in every single cloud. We're in every single data center. We're available in the cloud, in your private data centers, all the way out to the edge, all the way out to autonomous systems, robotics, and self-driving cars. One single architecture spans all of that. That's what makes NVIDIA unique.
17:06 | AI innovation with flexible architecture
All kind of different transformers4, a next-generation state-space models, which is probably the next generation of transformers, all of these different architectures can live and breathe and be created on NVIDIA's flexible architecture. And because it's available literally everywhere, any researcher can get access to NVIDIA GPUs and invent the next generation.
18:32 | Bridging the technology divide
I'm going to say something and it's going to sound completely opposite of what people feel. You probably recall, over the course of the last 10 years, 15 years, almost everybody who sits on a stage like this would tell you, it is vital that your children learn computer science. Everybody should learn how to program. And in fact, it's almost exactly the opposite.
It is our job to create computing technology such that nobody has to program, and that the programming language is human. Everybody in the world is now a programmer. This is the miracle. This is the miracle of artificial intelligence. For the very first time, we have closed the gap. The technology divide has been completely closed. And this is the reason why so many people can engage artificial intelligence. It is the reason why every single government, every single industrial conference, every single company is talking about artificial intelligence today. Because for the very first time, you can imagine everybody in your company being a technologist. And so this is a tremendous time for all of you to realize that the technology divide has been closed. Or another way to say it, the technology leadership of other countries has now been reset!
The countries, the people that understand how to solve a domain problem in digital biology or in education of young people or in manufacturing or in farming, those people who understand domain expertise now can utilize technology that is readily available to you. You now have a computer that will do what you tell it to do, to help automate your work, to amplify your productivity, to make you more efficient. And so I think that this is just a tremendous time. The impact, of course, is great and your imperative to activate and take advantage of the technology is absolutely immediate. And also to realize that to engage AI is a lot easier now than at any time in the history of computing.
It is vital that we upskill everyone, and the upskilling process, I believe, will be delightful, surprising, to realize that this computer can perform all these things that you're instructing it to do and doing it so easily.
In February 2024, NVIDIA’s market cap reached $2 trillion, surpassing Amazon, Alphabet, and Meta.
It sounds good, but this can be used to create a bubble, especially in the political scenario.
CSP Technology (Chip Scale Packaging)
CNN (Convolutional Neural Networks), CUDA, RNN (Recurrent Neural Networks), LSTM (Long Short-Term Memory), Vision Transformers, Birds-eye view Transformers