Jensen Huang: commitment

Transcript context

…It’s like, what do you mean? I can just launch an agent and make a lot of money. Well, by the way, it’s happening right now, right? You know that when you go to China you’re gonna see, you’re gonna see a whole bunch of people teaching their, getting their Claudes to try to go out and look for jobs and, you know, do work, make money. And I’m not, I’m not actually… I wouldn’t be surprised if some social thing happened or somebody created a digital influencer, super, super cute, or some social application that, you know, feeds your little Tamagotchi or something like that, and it become out of the blue an instant success. A lot of people use it for a couple of months and it kind of dies away. Now, the odds of 100,000 of those agents building NVIDIA is zero percent. And then, and then the one part that I will, I won’t do and I wanna make sure we all do, is to recognize that people are really worried about their jobs. And I just want to remind them that the purpose of your job and the tasks and tools that you use to do your job are related, not the same. I’ve been doing my job for 33 years. I’m the longest running tech CEO in the world, 34 years. And the tools that I’ve used to do my job has changed continuously in the last 34 years, and sometimes quite dramatically, you know, over the course of a couple, two, three years. And the one story that I really wanna make sure that everybody hears is the story that the first job that computer scientists said, AI researchers said was gonna go away was radiology. Because computer vision was going to achieve superhuman levels, and it did. CV… Computer vision was superhuman in 2019, 20, maybe maybe a little bit later, 2020? Okay? And so it’s been a long time since computer vision has been superhuman. And so the prediction was radiologists would go away because studying radiology scans was a thing of the past. AI will do that. Well, they were absolutely right. Computer vision is completely superhuman. Every radiology platform and package today is driven by AI, and yet the number of radiologists grew. And so the question is why? And we now have a shortage of radiologists in the world. And so, one, the alarmist warning went too far and it scared people from doing this profession that is so important to society. And so it did harm. Now, why was it wrong? The reason why is because the purpose of a radiologist, the purpose is to diagnose disease and help patients and doctors diagnose disease. ortant to society. And so it did harm. Now, why was it wrong? The reason why is because the purpose of a radiologist, the purpose is to diagnose disease and help patients and doctors diagnose disease. And because we’re able to study scans so much faster now, you could study more scans, you could diagnose better, you could in-patient faster, you can see people more. The hospitals are making more money. You have more patients in the hospital. You need more radiologists. I mean, the amazing thing is, it’s so obvious this was gonna happen. The number of software engineers at NVIDIA is gonna grow, not decline. And the reason for that is because the purpose of a software engineer and the task of a software engineer coding are related, not the same. I wanted my software engineers to solve problems. I didn’t care how many lines of code they wrote, you know? But their job, their purpose of their job didn’t change. Solving problems, working as a team, diagnosing problems, evaluating the result, looking for new problems to solve, innovation, connecting dots. You know, none of that stuff is gonna go away.…

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