NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrative

Jensen Huang · 1h 16m · youtube.com ↗

20 korrents from this recording

Jensen Huang did not write this page.

Every claim below is a statement made in this recording, quoted word for word and linked to the second it was said, so you can hear it rather than take our word for it. The wording comes from the transcript published alongside the recording; the sentence above each quote is our reading of the claim, not their wording.

0:05:27 · watch on youtube.com↗

Our reading
AI is software that is not pre-recorded: unlike Excel it generates every token for the first time, every time, which is why it needs factories.

Their wordsFor example, Excel was written by several hundred engineers. They compiled it. It's pre-recorded and then they distribute it as is for several years. In the case of AI, because it takes into the context, what you asked of it, what's happening in the world, right? Contextual information, it generates every single token for the first time, every time.

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1 min later
0:06:23 · watch on youtube.com↗

Our reading
AI is infrastructure on a par with energy and the internet, because every application, company, industry and country uses it.

Their wordsThe reason why it's infrastructure is because obviously it affects every single application. It's used in every single company. It's used in every single industry every single country. Therefore, it's part infrastructure like energy and and internet.

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2 min later
0:08:40 · watch on youtube.com↗

Our reading
Geoffrey Hinton's prediction that AI would take over radiology came true, and the number of radiologists went up anyway.

Their wordsand he's absolutely right 100% of radiology applications are now AI powered. That's completely true and in some eight years time it is now completely pervaded uh uh radiology. However, what's interesting is that the number of radiologists increased

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4 min later
0:12:30 · watch on youtube.com↗

Our reading
Robots will close a severe and worsening labour shortage rather than take jobs, because ageing economies already cannot find the workers they need.

Their wordsAnd so I think that I think the first part is that having robotic systems is going to allow us to cover the labor shortage gap which is really really severe and getting worse because of aging population.

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1 min later
0:13:24 · watch on youtube.com↗

Our reading
A world of a billion robots will need maintenance crews and hubs the way robotaxis already do, creating the largest repair industry on the planet.

Their wordsAnd if you look at the robo taxis that are that are even on the streets today, it's taken 10 years for that to happen. Look at all the maintenance crews and all of the the the various, you know, hubs that they're in where you have to take care of these robo taxis and just imagine we have a billion robots.

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9 min later
0:22:11 · watch on youtube.com↗

Our reading
No company is anywhere near a single God AI, and no researcher has any reasonable ability to build one.

Their wordsAnd um I don't think any company practically believes they're anywhere near God AI. And nor nor do I do I see any researchers having any reasonable ability to create god AI.

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3 min later
0:25:18 · watch on youtube.com↗

Our reading
When CEOs and PhDs describe end-of-the-world scenarios to governments, ask whether the purpose of the narrative is regulation that suffocates startups.

Their wordsUm, you have to ask yourself, you know, what is the purpose of that narrative and what is their what are their intentions and what do they hope? Why are they why are they talking to governments about these things to create regulations to suffocate startups?

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2 min later
0:27:40 · watch on youtube.com↗

Our reading
The first part of safety is that the thing works as advertised, not that nobody can misuse it.

Their wordsthe first part of safety of a car isn't that some person is going to jump into the car and use it as a missile. The first part of the car is it works as advertised.

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1 min later
0:28:54 · watch on youtube.com↗

Our reading
Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it.

Their wordsIt's exactly the opposite. If the marginal cost of AI is going to go down significantly, that one AI is going to be monitored by millions of AIS.

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5 min later
0:33:29 · watch on youtube.com↗

Our reading
DeepSeek's paper was the single most important thing Silicon Valley researchers read in years.

Their wordsThis is, you know, let's face it, Deep Seek was probably the single most important paper that most Silicon Valley researchers read from in the last couple years.

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1 min later
0:34:53 · watch on youtube.com↗

Our reading
A competitor six months or a year behind the frontier can stay close, because the cost of AI falls more than tenfold every year.

Their wordsbecause of innovation of models algorithms and the computing stack, the cost of AI is actually decreasing well more than 10x every single year. And so if you're just one year behind or even six months behind, you could you could really stay close.

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2 min later
0:37:18 · watch on youtube.com↗

Our reading
AI labs will bifurcate into specialities rather than each trying to be good at everything, the way people choose a speciality.

Their wordsyou don't have to be good at everything in life as you know just like all of us we don't we could decide because we don't have time to learn everything equally well. We decide to choose a specialty and focus all of our energy on it and we become superhuman or incredibly good at something that other people are not. And so I think AI labs are going to start doing the same.

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2 min later
0:39:17 · watch on youtube.com↗

Our reading
The programmer AI replaces is the one whose purpose is coding itself; an engineer whose purpose is finding problems to solve is not replaceable.

Their wordsAnd so if the purpose is not coding, if your purpose literally is coding, somebody tells you what to do, you code it. All right? Maybe you're going to get replaced by the AI. But most of our software engineers, all of our software, their goal is to solve problems.

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5 min later
0:43:50 · watch on youtube.com↗

Our reading
Digital biology is about to have its ChatGPT moment, on the back of multimodality, long context and synthetic data generation.

Their wordsI believe that multi-modality and um very long context is going to enable of course really really cool chat bots. Um but the basic architecture that in combination with breakthroughs in synthetic data generation is going to help create the chat GPT moment for digital biology.

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2 min later
0:46:08 · watch on youtube.com↗

Our reading
Self-driving's next era is reasoning cars that think all the time, breaking an unfamiliar situation down into ones they have seen.

Their wordsinstead of just perception cars and planning cars, they're going to be reasoning cars. So, these cars are going to be thinking all the time.

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6 min later
0:51:44 · watch on youtube.com↗

Our reading
Consumer AI that is right 90% of the time delights people; industrial AI that is right 90% of the time is 100% dissatisfaction.

Their wordsBecause in the case of AI for consumers if it works 90% of the time you're delighted you you're you know you're mind blown. If it works 80% of the time you're satisfied. In the case of most industrial and physical AIs, if it works 90% of the time, nobody cares about that. They only care about the 10% that it fails.

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4 min later
0:55:17 · watch on youtube.com↗

Our reading
Wind and solar will not be enough for AI: every form of energy is needed, nuclear and natural gas included.

Their wordsWe need, you know, natural gas. We need to be, of course, we need more energy on the grid. We need more energy behind the meter. Uh we're going to need nuclear. Uh wind is not going to be enough. Solar is not going to be enough.

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4 min later
0:59:23 · watch on youtube.com↗

Our reading
Decoupling the United States from China is naive: the closer you look, the more deeply coupled the two countries turn out to be.

Their wordsthe idea of decoupling is naive and the idea of decoupling um for whatever reason philosophical reasons or national security reasons It's just not not it's not based on any common sense and the more you the more deeply you look into it the more the two countries are actually highly coupled.

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5 min later
1:04:05 · watch on youtube.com↗

Our reading
No country in the world contributes more to open source than China, and American startups are built on what it gives away.

Their wordsdon't forget China also contributed tremendously to open source. No country in the world contributes more to open source than China. And look at all the startups here in America that were able to benefit from that open source to create the the new startups that are here.

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6 min later
1:10:02 · watch on youtube.com↗

Our reading
There is no AI bubble on the demand side: the shortage of computing capacity is global, and spans every company and industry.

Their wordsThey are all dying for computing capacity. Give me an example for a researcher in any university, a scientist in any company who says got plenty of capacity. Everybody is dying for capacity. And so we have a global multi- company, multi-industry shortage.

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