Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

NVIDIA CEO Jensen Huang on how AI will transform work — and why we’ll be busier than ever "Everybody's jobs will be different. Mundane, arduous tasks become simple — we'll be far more productive. But here's the twist: With more productivity, we'll have more ideas to pursue. Elon and...

newstart_2024's profile picture

Camus

438,055 subscribers

21,297 görüntüleme • 7 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

📁 Jensen Huang says AI did not end radiologists. Hinton predicted radiology would be 100 percent AI. And it happened. But the number of radiologists grew. AI automated the task, not the purpose. Higher productivity, more patients, more revenue and more humans doing higher value work.
2:02

📁 Jensen Huang says AI did not end radiologists. Hinton predicted radiology would be 100 percent AI. And it happened. But the number of radiologists grew. AI automated the task, not the purpose. Higher productivity, more patients, more revenue and more humans doing higher value work.

Jon Hernandez

53,503 görüntüleme • 7 ay önce

Jensen Huang on why AI won't give workers more free time but will make them busier than ever: He explains it by separating two ideas most people conflate: task versus purpose. He starts by drawing a critical distinction: "The purpose versus the task of a job has to be separated. The task of a radiologist includes studying scans, but the purpose of the job is to work with clinicians and doctors and patients to help diagnose disease." When AI handles tasks faster, the purpose expands to fill the new capacity. Jensen uses radiologists as a real-world example: "The fact that these radiologists can now study scans so fast, they order more scans from more modalities. As a result, they're able to onboard patients a lot more quickly. The number of patients in a hospital can go up. The hospital is making more money taking care of more patients. Radiologists busier than ever." He sees the exact same pattern playing out with his own engineering team: "Our company 100% of software engineers are now supported by agents. They're busier than ever because their experimentation is coming back a lot more quickly. Every single idea expressed in the code instantaneously." The result is greater ambition rather than less work: "We're exploring more ideas, more software engineers are working with each other, coming up with new ideas, new problems that we never even think of solving before because we just didn't have the time to do before." His conclusion challenges the popular narrative around AI and free time: "I think most people have this wrong. I think that the fact that we're now so productive, we can experiment, iterate so fast, we're going to be busier than ever."
1:21

Jensen Huang on why AI won't give workers more free time but will make them busier than ever: He explains it by separating two ideas most people conflate: task versus purpose. He starts by drawing a critical distinction: "The purpose versus the task of a job has to be separated. The task of a radiologist includes studying scans, but the purpose of the job is to work with clinicians and doctors and patients to help diagnose disease." When AI handles tasks faster, the purpose expands to fill the new capacity. Jensen uses radiologists as a real-world example: "The fact that these radiologists can now study scans so fast, they order more scans from more modalities. As a result, they're able to onboard patients a lot more quickly. The number of patients in a hospital can go up. The hospital is making more money taking care of more patients. Radiologists busier than ever." He sees the exact same pattern playing out with his own engineering team: "Our company 100% of software engineers are now supported by agents. They're busier than ever because their experimentation is coming back a lot more quickly. Every single idea expressed in the code instantaneously." The result is greater ambition rather than less work: "We're exploring more ideas, more software engineers are working with each other, coming up with new ideas, new problems that we never even think of solving before because we just didn't have the time to do before." His conclusion challenges the popular narrative around AI and free time: "I think most people have this wrong. I think that the fact that we're now so productive, we can experiment, iterate so fast, we're going to be busier than ever."

Big Brain AI

24,707 görüntüleme • 3 ay önce

Jensen Huang says Geoffrey Hinton predicted 5 years ago that AI would replace radiologists and he’s right — but not in the way people expected. AI has swept the whole field. Today, just about every radiologist is using AI in some way. But here’s the twist: the number of radiologists actually grew. Why? Because their real purpose isn’t studying the image — it’s diagnosing disease. AI now studies images faster, more precisely, in 3D instead of 2D, without mistakes or fatigue. Meaning radiologists can diagnose more people than ever before. Hospitals get better economics → serve more patients → and hire more radiologists.
1:50

Jensen Huang says Geoffrey Hinton predicted 5 years ago that AI would replace radiologists and he’s right — but not in the way people expected. AI has swept the whole field. Today, just about every radiologist is using AI in some way. But here’s the twist: the number of radiologists actually grew. Why? Because their real purpose isn’t studying the image — it’s diagnosing disease. AI now studies images faster, more precisely, in 3D instead of 2D, without mistakes or fatigue. Meaning radiologists can diagnose more people than ever before. Hospitals get better economics → serve more patients → and hire more radiologists.

Ian Miles Cheong

301,079 görüntüleme • 8 ay önce

Nvidia CEO Jensen Huang on AI: The fact that this is going to be the end of humanity—it's complete nonsense. The fact that this is going to destroy half of the American jobs—it's complete nonsense. AI will increase productivity. When productivity is increased, it creates opportunities. Over the history of technology, society has become more productive as a result of technology. It has created more jobs, not less. Source: Axios
0:49

Nvidia CEO Jensen Huang on AI: The fact that this is going to be the end of humanity—it's complete nonsense. The fact that this is going to destroy half of the American jobs—it's complete nonsense. AI will increase productivity. When productivity is increased, it creates opportunities. Over the history of technology, society has become more productive as a result of technology. It has created more jobs, not less. Source: Axios

Clash Report

16,704 görüntüleme • 22 gün önce

$NVDA CEO Jensen Huang said demand has gone parabolic because agentic AI has arrived, AI can now do productive work and tokens are becoming profitable. If tokens are profitable then model builders have a reason to produce more of them which means more inference, more compute and more demand across networking, memory, CPUs, power and data centers. The near-term stock reaction is about expectations but long-term story is still that the AI factory buildout is running through Nvidia which is why I think it has a real path to becoming the world’s first $10T company.
0:24

$NVDA CEO Jensen Huang said demand has gone parabolic because agentic AI has arrived, AI can now do productive work and tokens are becoming profitable. If tokens are profitable then model builders have a reason to produce more of them which means more inference, more compute and more demand across networking, memory, CPUs, power and data centers. The near-term stock reaction is about expectations but long-term story is still that the AI factory buildout is running through Nvidia which is why I think it has a real path to becoming the world’s first $10T company.

Shay Boloor

261,814 görüntüleme • 2 ay önce

JENSEN HUANG CALLED OUT EVERY CEO WHO’S BEEN FIRING PEOPLE “BECAUSE OF AI.” JIM CRAMER ASKED HIM WHY COMPANIES ARE LAYING PEOPLE OFF IF AI IS SUPPOSED TO MAKE EVERYONE MORE PRODUCTIVE. JENSEN’S RESPONSE: “FOR COMPANIES WITH IMAGINATION, YOU WILL DO MORE WITH MORE. FOR COMPANIES WHERE THE LEADERSHIP IS JUST OUT OF IDEAS, THEY HAVE NOTHING ELSE TO DO. THEY HAVE NO REASON TO IMAGINE BEYOND WHAT THEY ARE TODAY. WHEN THEY GAIN MORE CAPABILITY, THEY DON’T DO MORE.”
1:38

JENSEN HUANG CALLED OUT EVERY CEO WHO’S BEEN FIRING PEOPLE “BECAUSE OF AI.” JIM CRAMER ASKED HIM WHY COMPANIES ARE LAYING PEOPLE OFF IF AI IS SUPPOSED TO MAKE EVERYONE MORE PRODUCTIVE. JENSEN’S RESPONSE: “FOR COMPANIES WITH IMAGINATION, YOU WILL DO MORE WITH MORE. FOR COMPANIES WHERE THE LEADERSHIP IS JUST OUT OF IDEAS, THEY HAVE NOTHING ELSE TO DO. THEY HAVE NO REASON TO IMAGINE BEYOND WHAT THEY ARE TODAY. WHEN THEY GAIN MORE CAPABILITY, THEY DON’T DO MORE.”

Vivek Sen

183,867 görüntüleme • 2 ay önce

Sam Altman just said the future of work won’t look like work At TreeHacks 2026, Sam Altman said something wild: Jobs in 100 years will be as unrecognizable to us as our jobs would be to people 300 years ago. AI will take over more and more operational work. And instead of obsessing over machines, humans may end up focusing more on each other. Which raises a bigger question: If AI does most of the work… do we even keep the concept of “jobs”? 👀
0:29

Sam Altman just said the future of work won’t look like work At TreeHacks 2026, Sam Altman said something wild: Jobs in 100 years will be as unrecognizable to us as our jobs would be to people 300 years ago. AI will take over more and more operational work. And instead of obsessing over machines, humans may end up focusing more on each other. Which raises a bigger question: If AI does most of the work… do we even keep the concept of “jobs”? 👀

VraserX e/acc

15,367 görüntüleme • 5 ay önce

Jensen Huang said fears about AI destroying jobs are nonsense driven by people making things up. Then he gave the most concrete proof I have ever heard. He called it the radiology story. 12 years ago one of the world's most respected computer scientists made a prediction. Computer vision had become superhuman at reading medical scans. It never got tired. It never missed a detail. So he said radiology was finished. He advised nobody to enter the field. The job was going to be wiped out. Jensen said he was absolutely right. Computer vision did penetrate every single radiology stack. Every radiologist today is augmented by it. The task of reading scans became automated. Then the opposite of the prediction happened. Radiology demand went up. The number of radiologists in the world went up. The reason is the distinction Jensen kept coming back to the whole talk. Task versus purpose. The task of a radiologist is reading scans. The purpose is working with doctors to diagnose disease. When the task got automated, radiologists got more productive. More productive meant more patients admitted. More patients meant more scans. More scans meant more profit. More profit meant they hired more radiologists. The field the expert said would be wiped out needed more people than before. Jensen's point was not that AI creates no disruption. His point was that people confuse the task with the job and then make predictions that cause real damage. Fewer people trained in radiology because of that speech. Now there is a shortage. Someone recently said 90% of software coding will disappear. Jensen said Nvidia is hiring more software engineers than ever. Coding is not a software engineer's job. Solving problems is. When you automate the task, you free the person to do the actual job. That is not a job loss. That is an upgrade.
1:37

Jensen Huang said fears about AI destroying jobs are nonsense driven by people making things up. Then he gave the most concrete proof I have ever heard. He called it the radiology story. 12 years ago one of the world's most respected computer scientists made a prediction. Computer vision had become superhuman at reading medical scans. It never got tired. It never missed a detail. So he said radiology was finished. He advised nobody to enter the field. The job was going to be wiped out. Jensen said he was absolutely right. Computer vision did penetrate every single radiology stack. Every radiologist today is augmented by it. The task of reading scans became automated. Then the opposite of the prediction happened. Radiology demand went up. The number of radiologists in the world went up. The reason is the distinction Jensen kept coming back to the whole talk. Task versus purpose. The task of a radiologist is reading scans. The purpose is working with doctors to diagnose disease. When the task got automated, radiologists got more productive. More productive meant more patients admitted. More patients meant more scans. More scans meant more profit. More profit meant they hired more radiologists. The field the expert said would be wiped out needed more people than before. Jensen's point was not that AI creates no disruption. His point was that people confuse the task with the job and then make predictions that cause real damage. Fewer people trained in radiology because of that speech. Now there is a shortage. Someone recently said 90% of software coding will disappear. Jensen said Nvidia is hiring more software engineers than ever. Coding is not a software engineer's job. Solving problems is. When you automate the task, you free the person to do the actual job. That is not a job loss. That is an upgrade.

Ihtesham Ali

14,480 görüntüleme • 2 ay önce

Should we be worried about labour displacement at the hands of AI? "Short term, yes. Long term, no. In the near term, AI is creating real disruption, with large layoffs and thousands of people being displaced from existing jobs. Over the long run, there are far more problems to solve than people currently working on them. If AI makes engineers more abundant and productive, we can redirect that talent toward solving problems that were previously uneconomic or impossible to tackle." Matan Grinberg Do you agree and what does no one consider that everyone should with regards to future of labour Marc Andreessen 🇺🇸 Matt Miller Shaun Maguire Vinod Khosla
0:43

Should we be worried about labour displacement at the hands of AI? "Short term, yes. Long term, no. In the near term, AI is creating real disruption, with large layoffs and thousands of people being displaced from existing jobs. Over the long run, there are far more problems to solve than people currently working on them. If AI makes engineers more abundant and productive, we can redirect that talent toward solving problems that were previously uneconomic or impossible to tackle." Matan Grinberg Do you agree and what does no one consider that everyone should with regards to future of labour Marc Andreessen 🇺🇸 Matt Miller Shaun Maguire Vinod Khosla

Harry Stebbings

13,709 görüntüleme • 2 ay önce

🇺🇸 DAVID FRIEDBERG: AI WILL SUPERCHARGE VIDEO GAMES FAR MORE THAN SOCIAL MEDIA "Do you spend more time on social media, or on traditional media, or playing games? Importantly, which of those will accrue more benefit and drive more hours spent from AI? I think AI will ultimately accrue to video game entertainment far more than social media entertainment. You can create more dynamic, engaging experiences than you can with traditional content or social media." Source: The All-In Podcast, david friedberg
5:18

🇺🇸 DAVID FRIEDBERG: AI WILL SUPERCHARGE VIDEO GAMES FAR MORE THAN SOCIAL MEDIA "Do you spend more time on social media, or on traditional media, or playing games? Importantly, which of those will accrue more benefit and drive more hours spent from AI? I think AI will ultimately accrue to video game entertainment far more than social media entertainment. You can create more dynamic, engaging experiences than you can with traditional content or social media." Source: The All-In Podcast, david friedberg

Mario Nawfal

116,800 görüntüleme • 10 ay önce

📁 Geoffrey Hinton says the impact of AI will be radical and deeply uncertain. Many jobs will disappear and there is no guarantee new ones will replace them. AI will massively boost productivity, but the real issue is not technological. It is political. How wealth is distributed when work is no longer required. More productivity does not guarantee a better future. Without systemic change, it could mean the opposite.
0:42

📁 Geoffrey Hinton says the impact of AI will be radical and deeply uncertain. Many jobs will disappear and there is no guarantee new ones will replace them. AI will massively boost productivity, but the real issue is not technological. It is political. How wealth is distributed when work is no longer required. More productivity does not guarantee a better future. Without systemic change, it could mean the opposite.

Jon Hernandez

14,036 görüntüleme • 7 ay önce

.tylercowen on why AI creates more jobs than it destroys: "One of the neatest properties of current AI models is they allow a small number of individuals working with AI to really do a lot more work than was possible previously." "This will mean more companies, more projects, more nonprofits, just more ventures." "One area is generally energy, electricity, the grid... It's completely screwed up. It will take twenty years, thirty years, forty years to fix... The AIs cannot do that on their own." "The biomedical sector and medical trials, there will be many, many, many more ideas to test. AIs will help with the testing, but I don't think pure testing by simulation will be possible anytime soon." "Simply care for the elderly. There will be robots, personal companions. We have this already. But the elderly also will want human care. It wouldn't surprise me if in the future, fifteen, twenty percent of all jobs were elderly care." "Luis Garicano had an excellent online essay. He referred to what he called 'messy jobs': jobs where it's hard to explain exactly what the job is, but on a given day you're doing eleven different things, and it requires coordination and figuring out what you ought to do next and getting other people to help you... There's a real future in messy jobs." Tyler Cowen with Wyatt
2:31

.tylercowen on why AI creates more jobs than it destroys: "One of the neatest properties of current AI models is they allow a small number of individuals working with AI to really do a lot more work than was possible previously." "This will mean more companies, more projects, more nonprofits, just more ventures." "One area is generally energy, electricity, the grid... It's completely screwed up. It will take twenty years, thirty years, forty years to fix... The AIs cannot do that on their own." "The biomedical sector and medical trials, there will be many, many, many more ideas to test. AIs will help with the testing, but I don't think pure testing by simulation will be possible anytime soon." "Simply care for the elderly. There will be robots, personal companions. We have this already. But the elderly also will want human care. It wouldn't surprise me if in the future, fifteen, twenty percent of all jobs were elderly care." "Luis Garicano had an excellent online essay. He referred to what he called 'messy jobs': jobs where it's hard to explain exactly what the job is, but on a given day you're doing eleven different things, and it requires coordination and figuring out what you ought to do next and getting other people to help you... There's a real future in messy jobs." Tyler Cowen with Wyatt

a16z

192,489 görüntüleme • 2 ay önce

🚨 JUST NOW: Treasury Sec. Scott Bessent disagrees with Elon Musk's prediction that AI and tech advancements will mean WORK will become "OPTIONAL" 👀 "There's always going to be work. Historically, when you get productivity increases, MORE jobs always follow." "I was on Wall Street for 35 years. The key to any prediction is - you can make the prediction, but never give the time frame. I don't know if this is a Star Trek time frame, or 10-15 years away." Elon Musk
1:10

🚨 JUST NOW: Treasury Sec. Scott Bessent disagrees with Elon Musk's prediction that AI and tech advancements will mean WORK will become "OPTIONAL" 👀 "There's always going to be work. Historically, when you get productivity increases, MORE jobs always follow." "I was on Wall Street for 35 years. The key to any prediction is - you can make the prediction, but never give the time frame. I don't know if this is a Star Trek time frame, or 10-15 years away." Elon Musk

Eric Daugherty

46,361 görüntüleme • 8 ay önce

The IDF are now committing MORE than one massacre at the SAME TIME so that ppl will not be able to focus on them all and they can get away with more crimes!!!
2:20

The IDF are now committing MORE than one massacre at the SAME TIME so that ppl will not be able to focus on them all and they can get away with more crimes!!!

𓂆 𝓁𝓊𝓁𝓊 🧸

561,387 görüntüleme • 2 yıl önce

We are glad to inform you that more than 90% of the work is behind us. Added PVE content outside the city with monsters and missions. More news on the work done will be very soon. #LUNC #LUNCcommunity #OGMuji #OGCacti
1:05

We are glad to inform you that more than 90% of the work is behind us. Added PVE content outside the city with monsters and missions. More news on the work done will be very soon. #LUNC #LUNCcommunity #OGMuji #OGCacti

METAGLORIA

82,807 görüntüleme • 3 yıl önce

Meat Locker 01 A little more story regarding Mike's time with the Triads. Wanted to play around w/ animated panel. The rest will be images because then it would take too long haha. I would have put more time on the compositing of color, but I think for now I will keep it simple
0:40

Meat Locker 01 A little more story regarding Mike's time with the Triads. Wanted to play around w/ animated panel. The rest will be images because then it would take too long haha. I would have put more time on the compositing of color, but I think for now I will keep it simple

lazy.papers

15,247 görüntüleme • 1 yıl önce

David Friedberg: “Gaming is the future of entertainment, and the future of gaming is AI.” @jason: “Friedberg, what are your thoughts on the gaming industry versus social media versus traditional media?” david friedberg: “One way to answer that question is to think about how people spend their time.” “Do you spend more minutes on social media, or on traditional media, or playing games? And how is that trending?” “But importantly, which of those will accrue more benefit, and as a result, drive more hours spent from AI?” “One way to think about this thesis is that AI is going to ultimately accrue to video game entertainment far more than social media entertainment or traditional content.” “If you believe in AI, and you believe in the improvements in productivity, generally speaking, people in the industrialized world will generally have more free time on their hands and be able to support themselves with the deflationary effects of AI over time.” “So if there's more time on people's hands, the general market for entertainment is growing, and if the general market for entertainment is growing, gaming is the future of entertainment, and the future of gaming is AI.” “Because I think you can create dynamic, more engaging experiences that will benefit from a back and forth sort of relationship than you can with traditional content or with social media.” “If you're a noob in Fortnite, like you're an early player in Fortnite, you're mostly playing against AI, because what they do is they tune the AI to be easier to beat so that you can slowly develop your skills.” “What was happening early was they were seeing a high degree of churn in Fortnite because kids would go on and play for the first time and they'd get paired up with kids that were better than them, and so they would never win, and they would get frustrated and they would quit the game and stop.” “So the churn rate was high. So AI unlocked higher engagement and higher retention, and I think we're seeing that in a lot of different gaming platforms now.” “So AI can be used, for example, to maximally increase time, engagement, satisfaction, happiness.”
1:43

David Friedberg: “Gaming is the future of entertainment, and the future of gaming is AI.” @jason: “Friedberg, what are your thoughts on the gaming industry versus social media versus traditional media?” david friedberg: “One way to answer that question is to think about how people spend their time.” “Do you spend more minutes on social media, or on traditional media, or playing games? And how is that trending?” “But importantly, which of those will accrue more benefit, and as a result, drive more hours spent from AI?” “One way to think about this thesis is that AI is going to ultimately accrue to video game entertainment far more than social media entertainment or traditional content.” “If you believe in AI, and you believe in the improvements in productivity, generally speaking, people in the industrialized world will generally have more free time on their hands and be able to support themselves with the deflationary effects of AI over time.” “So if there's more time on people's hands, the general market for entertainment is growing, and if the general market for entertainment is growing, gaming is the future of entertainment, and the future of gaming is AI.” “Because I think you can create dynamic, more engaging experiences that will benefit from a back and forth sort of relationship than you can with traditional content or with social media.” “If you're a noob in Fortnite, like you're an early player in Fortnite, you're mostly playing against AI, because what they do is they tune the AI to be easier to beat so that you can slowly develop your skills.” “What was happening early was they were seeing a high degree of churn in Fortnite because kids would go on and play for the first time and they'd get paired up with kids that were better than them, and so they would never win, and they would get frustrated and they would quit the game and stop.” “So the churn rate was high. So AI unlocked higher engagement and higher retention, and I think we're seeing that in a lot of different gaming platforms now.” “So AI can be used, for example, to maximally increase time, engagement, satisfaction, happiness.”

The All-In Podcast

70,365 görüntüleme • 10 ay önce

Suppose an AI model fully automates a $200k job. Its economic value - measured in contribution to GDP - will be both far more and far less than $200k. There are two ways of thinking about the model's economic value: (1) It'll be far more than $200k. After all, the human worker's labor was worth $200k; AI workers will have a bunch of advantages over humans, like not needing to sleep and being able to run in parallel, so their labor will be worth even more. (2) It'll be far less than $200k. Competition between labs might drive the price of AI down until it's basically equal to the cost of the GPUs and energy. And this is obviously way lower than the human worker's contribution to GDP. The important idea is that both are right. The marginal contribution to GDP of running an additional instance of this model will probably be relatively low. But we'll end up running way more copies of it, so the model's total contribution to GDP will be way higher than the human workers it replaced.
0:38

Suppose an AI model fully automates a $200k job. Its economic value - measured in contribution to GDP - will be both far more and far less than $200k. There are two ways of thinking about the model's economic value: (1) It'll be far more than $200k. After all, the human worker's labor was worth $200k; AI workers will have a bunch of advantages over humans, like not needing to sleep and being able to run in parallel, so their labor will be worth even more. (2) It'll be far less than $200k. Competition between labs might drive the price of AI down until it's basically equal to the cost of the GPUs and energy. And this is obviously way lower than the human worker's contribution to GDP. The important idea is that both are right. The marginal contribution to GDP of running an additional instance of this model will probably be relatively low. But we'll end up running way more copies of it, so the model's total contribution to GDP will be way higher than the human workers it replaced.

Dwarkesh Patel

71,887 görüntüleme • 1 ay önce