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Jensen Huang has a simple test to spot which engineers are getting left behind. "That $500,000 engineer — at the end of the year I'm going to ask him how much did you spend in tokens. And if that person said $5,000, I will go ape." His benchmark? If... a top engineer isn't spending at least $250,000 worth of tokens annually, he's deeply alarmed. The parallel he draws is blunt: an engineer refusing to use AI is no different from a chip designer saying they'll just use paper and pencil instead of CAD tools. Jensen compares it to what the NBA learned when LeBron James started spending a million dollars a year on his body. At 41, he's still playing at the highest level. "If these are incredible knowledge workers, why wouldn't we give them superhuman abilities?" The implications run deeper than just productivity gains. Jensen believes the real transformation is about what disappears from an engineer's mind entirely. "Things that used to make you stop, 'this is too hard', 'this is going to take a long time', 'we're going to need a lot of people', those thoughts are gone." Just like in the last industrial revolution, when heavy buildings and massive mountains stopped being mental blockers, AI eliminates the friction that once constrained ambition. AI does the same thing for knowledge work. What's left when the friction disappears? Pure creativity. And that changes what the job actually is. Jensen's vision of the engineer of the future is someone who thinks, organises, and directs rather than simply codes. "In the past, we code. In the future, we're going to write ideas, architectures, specifications. We're going to organise teams. We're going to help define how to evaluate good versus bad. What does a great outcome look like? How to iterate? How to brainstorm?" His prediction: every engineer will have a hundred agents working under them. The engineers who win will be the ones who learn to lead these tools, not resist them.show more

Big Brain AI

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58,652 次观看 • 4 个月前 •via X (Twitter)

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Wow, Jensen Huang gave some really powerful point here. 🎯 "Let’s say you have a software engineer or AI researcher and you pay them $500,000 a year; At the end of the year, I’m going to ask that $500,000 engineer, "How much did you spend in tokens?" If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed. This is no different than one of our chip designers saying, "Guess what? I'm just going to use paper and pencil; I don't think I'm going to need any CAD tools." ---- "the thought that "this is too hard" is gone. The thought that "this is going to take a long time" is gone. The thought that "we’re going to need a lot of people" is gone." --- Jason Calacanis (the host of the podcast) exaplains how Elite performance requires elite investment. LeBron James spends millions on his physical maintenance to stay at the top of his game; modern knowledge workers must "spend" heavily on AI tokens to maintain a "superhuman" level of productivity and professional longevity. --- From The All-In Podcast YT channel (link in comment)

Wow, Jensen Huang gave some really powerful point here. 🎯 "Let’s say you have a software engineer or AI researcher and you pay them $500,000 a year; At the end of the year, I’m going to ask that $500,000 engineer, "How much did you spend in tokens?" If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed. This is no different than one of our chip designers saying, "Guess what? I'm just going to use paper and pencil; I don't think I'm going to need any CAD tools." ---- "the thought that "this is too hard" is gone. The thought that "this is going to take a long time" is gone. The thought that "we’re going to need a lot of people" is gone." --- Jason Calacanis (the host of the podcast) exaplains how Elite performance requires elite investment. LeBron James spends millions on his physical maintenance to stay at the top of his game; modern knowledge workers must "spend" heavily on AI tokens to maintain a "superhuman" level of productivity and professional longevity. --- From The All-In Podcast YT channel (link in comment)

Rohan Paul

81,947 次观看 • 4 个月前

Jensen Huang on the future of coding: “Every engineer is going to have 100 agents.” Jensen: “Everything that's too big, too heavy, takes too long, those ideas are all gone.” Chamath: “You're reduced to creativity. Like, what can you come up with?” Jensen: “Exactly.” “Now the question is, how do you work with these agents?” “Well, it's just a new way of doing computer programming.” “In the past, we code.” “In the future, we're going to write ideas, architectures, specifications. We're going to organize teams. We're going to help them define how to evaluate the definition of good versus bad. What does it look like when something is a great outcome? How to iterate with you, how to brainstorm.” “That's really what you're looking for.”

Jensen Huang on the future of coding: “Every engineer is going to have 100 agents.” Jensen: “Everything that's too big, too heavy, takes too long, those ideas are all gone.” Chamath: “You're reduced to creativity. Like, what can you come up with?” Jensen: “Exactly.” “Now the question is, how do you work with these agents?” “Well, it's just a new way of doing computer programming.” “In the past, we code.” “In the future, we're going to write ideas, architectures, specifications. We're going to organize teams. We're going to help them define how to evaluate the definition of good versus bad. What does it look like when something is a great outcome? How to iterate with you, how to brainstorm.” “That's really what you're looking for.”

The All-In Podcast

90,189 次观看 • 4 个月前

Jensen Huang: “If that $500,000 engineer did not consume at least $250,000 worth of tokens, I'm going to be deeply alarmed.” The Nvidia CEO expects his highly paid engineers to be spending at least HALF their salaries on tokens to supercharge their abilities. @jason: “ The conversation we've had on the pod a number of times is, ‘Oh my God, look at the token usage in our companies.’ It is growing massively.” “And some people are asking, ‘Hey, when I join a company, how many tokens do I get? Because I want to be an effective employee.’” “You've postulated, I believe, $75,000 in tokens for each engineer, something like that.” “So are you spending, at Nvidia, $1 billion, $2 billion on tokens for your engineering team right now?” Jensen: “We're trying to.” “Let me give you the thought experiment: Let's say you have a software engineer or AI researcher and you pay them $500,000 a year. We do that all the time.” “That $500,000 engineer, at the end of the year, I'm going to ask them, how much did you spend in tokens?” “If that person said, ‘$5,000,’ I will go ape… something else.” “If that $500,000 engineer did not consume at least $250,000 worth of tokens, I'm going to be deeply alarmed. “And this is no different than one of our chip designers who says, ‘Guess what? I'm just going to use paper and pencil, I don't think I'm going to need any CAD tools.’” Jason: “This is a real paradigm shift, to start thinking about these all-star employees, it almost reminds me of what we learned in the NBA when LeBron James started spending a million dollars a year just on his health and his body, like in maintaining it. Here he is at age 41, still playing.” “These are incredible knowledge workers. Why wouldn't we give them superhuman abilities?”

Jensen Huang: “If that $500,000 engineer did not consume at least $250,000 worth of tokens, I'm going to be deeply alarmed.” The Nvidia CEO expects his highly paid engineers to be spending at least HALF their salaries on tokens to supercharge their abilities. @jason: “ The conversation we've had on the pod a number of times is, ‘Oh my God, look at the token usage in our companies.’ It is growing massively.” “And some people are asking, ‘Hey, when I join a company, how many tokens do I get? Because I want to be an effective employee.’” “You've postulated, I believe, $75,000 in tokens for each engineer, something like that.” “So are you spending, at Nvidia, $1 billion, $2 billion on tokens for your engineering team right now?” Jensen: “We're trying to.” “Let me give you the thought experiment: Let's say you have a software engineer or AI researcher and you pay them $500,000 a year. We do that all the time.” “That $500,000 engineer, at the end of the year, I'm going to ask them, how much did you spend in tokens?” “If that person said, ‘$5,000,’ I will go ape… something else.” “If that $500,000 engineer did not consume at least $250,000 worth of tokens, I'm going to be deeply alarmed. “And this is no different than one of our chip designers who says, ‘Guess what? I'm just going to use paper and pencil, I don't think I'm going to need any CAD tools.’” Jason: “This is a real paradigm shift, to start thinking about these all-star employees, it almost reminds me of what we learned in the NBA when LeBron James started spending a million dollars a year just on his health and his body, like in maintaining it. Here he is at age 41, still playing.” “These are incredible knowledge workers. Why wouldn't we give them superhuman abilities?”

The All-In Podcast

96,648 次观看 • 4 个月前

Jensen Huang, Nvidia CEO: "If a $500,000 engineer didn't burn at least $250,000 on tokens, I am going to be deeply alarmed." He compared it to a chip designer refusing to touch CAD tools and reaching for paper and pencil instead. That's how he sees an engineer who barely uses Claude. Every engineer at Nvidia is about to run a hundred agents at once. He replaced a whole software stack in 90 minutes on a Sunday night, then went to bed. The skill he wants isn't writing code. It's knowing how to spend $250k of compute and still ship something great. Watch the full interview, then read the breakdown below

Jensen Huang, Nvidia CEO: "If a $500,000 engineer didn't burn at least $250,000 on tokens, I am going to be deeply alarmed." He compared it to a chip designer refusing to touch CAD tools and reaching for paper and pencil instead. That's how he sees an engineer who barely uses Claude. Every engineer at Nvidia is about to run a hundred agents at once. He replaced a whole software stack in 90 minutes on a Sunday night, then went to bed. The skill he wants isn't writing code. It's knowing how to spend $250k of compute and still ship something great. Watch the full interview, then read the breakdown below

Hanako

41,677 次观看 • 1 个月前

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 次观看 • 1 个月前

Founder & CEO of Replit ⠕ Amjad Masad on the 1000x engineer: “The buzzword in Silicon Valley has been the 10x engineer. 2-3 years ago, I talked about the 1000x engineer, highly leveraged by autonomous agents." "You're not just one person, you’re a team of engineers. Every engineer is a sort of manager now." "We're not at 1000x yet. But pretty soon, the difference between a great engineer who knows how to use AI tools and an okay or good one is going to be 100x.”

Founder & CEO of Replit ⠕ Amjad Masad on the 1000x engineer: “The buzzword in Silicon Valley has been the 10x engineer. 2-3 years ago, I talked about the 1000x engineer, highly leveraged by autonomous agents." "You're not just one person, you’re a team of engineers. Every engineer is a sort of manager now." "We're not at 1000x yet. But pretty soon, the difference between a great engineer who knows how to use AI tools and an okay or good one is going to be 100x.”

TBPN

77,617 次观看 • 6 个月前

Engineers and salespeople think in completely different ways. - Engineers: "If you ask them a question, a hundred percent of them will try and think of what is the correct answer to that question." - Salespeople: "If you're a salesperson, your first thought isn't: what's the answer? It's: why are you asking me that question?" "And so if you have an engineer talking to a good sales guy, it's going to upset them. Because they're often not gonna answer the question." "The guys who are good at the job get rejected, because you don't like them. And then the people who are terrible at it, those are the ones that ended up getting hired." "These CEOs just wanna take a guy who failed the engineering test, put a clean shirt on him and make him the head of sales." benahorowitz.eth with Brian Halligan

Engineers and salespeople think in completely different ways. - Engineers: "If you ask them a question, a hundred percent of them will try and think of what is the correct answer to that question." - Salespeople: "If you're a salesperson, your first thought isn't: what's the answer? It's: why are you asking me that question?" "And so if you have an engineer talking to a good sales guy, it's going to upset them. Because they're often not gonna answer the question." "The guys who are good at the job get rejected, because you don't like them. And then the people who are terrible at it, those are the ones that ended up getting hired." "These CEOs just wanna take a guy who failed the engineering test, put a clean shirt on him and make him the head of sales." benahorowitz.eth with Brian Halligan

a16z

173,121 次观看 • 4 个月前

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

Patrick OShaughnessy

24,818 次观看 • 5 个月前

Nvidia CEO Jensen Huang on why engineers will soon be paid in tokens, not just salary: Jensen lays out a future where compute access becomes part of an engineer's compensation package. "I could totally imagine in the future every single engineer in our company will need an annual token budget," he says. He explains how the math would work: "They're going to make a few hundred thousand a year their base pay. I'm going to give them probably half of that on top of it as tokens so that they could be amplified 10x. Of course, we would." According to Huang, this is already changing how companies compete for talent: "It is now one of the recruiting tools in Silicon Valley. How many tokens comes along with my job?" His reasoning is simple: tokens make engineers more productive. As he puts it, "every engineer that has access to tokens will be more productive and those tokens as you know will be produced by AI factories that all of you and us we partner to build." Huang then zooms out to describe how this reshapes the nature of companies themselves: "Every single enterprise company in today sit on top of file systems and data centers. Every single software company of the future will be agentic and they will be token manufacturers. They be token users for their engineers and they'll be token manufacturers for all of their customers."

Nvidia CEO Jensen Huang on why engineers will soon be paid in tokens, not just salary: Jensen lays out a future where compute access becomes part of an engineer's compensation package. "I could totally imagine in the future every single engineer in our company will need an annual token budget," he says. He explains how the math would work: "They're going to make a few hundred thousand a year their base pay. I'm going to give them probably half of that on top of it as tokens so that they could be amplified 10x. Of course, we would." According to Huang, this is already changing how companies compete for talent: "It is now one of the recruiting tools in Silicon Valley. How many tokens comes along with my job?" His reasoning is simple: tokens make engineers more productive. As he puts it, "every engineer that has access to tokens will be more productive and those tokens as you know will be produced by AI factories that all of you and us we partner to build." Huang then zooms out to describe how this reshapes the nature of companies themselves: "Every single enterprise company in today sit on top of file systems and data centers. Every single software company of the future will be agentic and they will be token manufacturers. They be token users for their engineers and they'll be token manufacturers for all of their customers."

Big Brain AI

90,171 次观看 • 2 个月前

We asked Amjad Masad (Founder & CEO of Replit ⠕) what happens when engineers start managing AI agents instead of code. “The buzzword used to be the 10x engineer. I started talking about the 1000x engineer; someone highly leveraged by autonomous agents. "Right now, people using Replit spin up multiple agents to work on their project while they handle the main task." "You're no longer just one person, you’re a team. Every engineer is now sort of a manager." "We're not at 1000x yet, but soon the gap between a great engineer who knows how to use AI tools and an okay one will be 100x.”

We asked Amjad Masad (Founder & CEO of Replit ⠕) what happens when engineers start managing AI agents instead of code. “The buzzword used to be the 10x engineer. I started talking about the 1000x engineer; someone highly leveraged by autonomous agents. "Right now, people using Replit spin up multiple agents to work on their project while they handle the main task." "You're no longer just one person, you’re a team. Every engineer is now sort of a manager." "We're not at 1000x yet, but soon the gap between a great engineer who knows how to use AI tools and an okay one will be 100x.”

TBPN

63,785 次观看 • 1 年前

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Dustin

82,748 次观看 • 4 个月前

$🔥NOW: RFK Jr. tells Dr. Drew how he plans to attack the epidemic of addiction in America: "In the 20-year Vietnam war, we lost 56,000 American kids. So we're losing almost double that every year from this disease. You'd think that the trillion dollars we put into that war and the daily preoccupation on the news, the nightly news coverage for 20 years the presidential elections that were fixated on it, and it's half the number of people that are effected every single year. Our communities are being torn apart. We need to give this the same priority. I'm very reluctant to dictate a government solution. What we found from touring, this is a small fraction of the places we actually visited. I wanted to see every place that's doing this right, and what we found is there's a tremendous diversity of approaches that are working very very well. One thing almost all of them have in common is that they don't have government support. And so I'm very reluctant to get the government involved in a way that is going to micromanage places like this. I want to make the government support them and that may be through land purchases and through those kinds of contracts but I don't want the government to be coming in and micromanaging. I think this has to be run by NGOs and we have to use a lot of different approaches. You know Franklin Roosevelt when he was launching the New Deal said 'We're going to try these programs and we're going try something one thing at a time and if it doesn't work we're going to abandon it and were going to try something else, but were always going to be trying something.' And all I can guarantee, I can't tell you right now that there's one solution or even a multiplicity of solutions but what I can tell you is that in my administration we're going to solve the problem because I'm going to focus on it. And if there are things that are working we're going to create ecosystems in which those kinds of solutions can proliferate.$

🔥NOW: RFK Jr. tells Dr. Drew how he plans to attack the epidemic of addiction in America: "In the 20-year Vietnam war, we lost 56,000 American kids. So we're losing almost double that every year from this disease. You'd think that the trillion dollars we put into that war and the daily preoccupation on the news, the nightly news coverage for 20 years the presidential elections that were fixated on it, and it's half the number of people that are effected every single year. Our communities are being torn apart. We need to give this the same priority. I'm very reluctant to dictate a government solution. What we found from touring, this is a small fraction of the places we actually visited. I wanted to see every place that's doing this right, and what we found is there's a tremendous diversity of approaches that are working very very well. One thing almost all of them have in common is that they don't have government support. And so I'm very reluctant to get the government involved in a way that is going to micromanage places like this. I want to make the government support them and that may be through land purchases and through those kinds of contracts but I don't want the government to be coming in and micromanaging. I think this has to be run by NGOs and we have to use a lot of different approaches. You know Franklin Roosevelt when he was launching the New Deal said 'We're going to try these programs and we're going try something one thing at a time and if it doesn't work we're going to abandon it and were going to try something else, but were always going to be trying something.' And all I can guarantee, I can't tell you right now that there's one solution or even a multiplicity of solutions but what I can tell you is that in my administration we're going to solve the problem because I'm going to focus on it. And if there are things that are working we're going to create ecosystems in which those kinds of solutions can proliferate.

Tayyy

144,322 次观看 • 2 年前

Jensen Huang: Elon is an extraordinary engineer. Every single one of his projects is revolutionary. “I love working with him. We've built some amazing computers together. We're going to build many more computers together. The work that he's doing with Grok, his self-driving car, his Optimus, these are all, every single one of them, world-class, every single one of them revolutionary. Every single one of them are going to be gigantic opportunities and we're delighted, I'm delighted to be working with him on that. I think the Optimus opportunity is just right around the corner. It's very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. And this is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. I think this is likely to be the next multi-trillion dollar industry and I'm very excited for him.” Jensen Huang on Bloomberg, May 29, 2025

Jensen Huang: Elon is an extraordinary engineer. Every single one of his projects is revolutionary. “I love working with him. We've built some amazing computers together. We're going to build many more computers together. The work that he's doing with Grok, his self-driving car, his Optimus, these are all, every single one of them, world-class, every single one of them revolutionary. Every single one of them are going to be gigantic opportunities and we're delighted, I'm delighted to be working with him on that. I think the Optimus opportunity is just right around the corner. It's very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. And this is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. I think this is likely to be the next multi-trillion dollar industry and I'm very excited for him.” Jensen Huang on Bloomberg, May 29, 2025

ELON CLIPS

2,625,464 次观看 • 1 年前

ELON: I ENSURE GREAT ENGINEERS CAN FLOURISH AT MY COMPANIES “I consider one of my core responsibilities in running companies to have an environment where great engineers can flourish. And I think in a lot of companies, maybe most companies, if somebody is a really talented, driven engineer, their talents are suppressed. At some of the companies, engineering talent is suppressed in a way that is maybe not obviously bad, but where it's just so comfortable, and you're paid so much money, but the output you actually have to produce is so low that it's like a honey trap. They don't necessarily seem like bad places for engineers, but you have to say, a good engineer went in and what did they get out? The output of that engineering talent seems very low. Tesla is not a honey trap. We're demanding. You're going to get a lot of shit done. And it's going to be really cool, and it's not going to be easy. But if you are a super-talented engineer, your talents will be used, I think, to a greater degree than anywhere else. SpaceX is also that way.” Source: Tesla AI Day, September 2022

ELON: I ENSURE GREAT ENGINEERS CAN FLOURISH AT MY COMPANIES “I consider one of my core responsibilities in running companies to have an environment where great engineers can flourish. And I think in a lot of companies, maybe most companies, if somebody is a really talented, driven engineer, their talents are suppressed. At some of the companies, engineering talent is suppressed in a way that is maybe not obviously bad, but where it's just so comfortable, and you're paid so much money, but the output you actually have to produce is so low that it's like a honey trap. They don't necessarily seem like bad places for engineers, but you have to say, a good engineer went in and what did they get out? The output of that engineering talent seems very low. Tesla is not a honey trap. We're demanding. You're going to get a lot of shit done. And it's going to be really cool, and it's not going to be easy. But if you are a super-talented engineer, your talents will be used, I think, to a greater degree than anywhere else. SpaceX is also that way.” Source: Tesla AI Day, September 2022

Mario Nawfal

20,354,554 次观看 • 1 年前

Stephen Miller: "We don't have a Democrat Party anymore...We have a communist party, but it's actually the worst kind of communism imaginable, which is DEI communism. So it's not just 'we're going to redistribute your wealth,' it's 'we're going to import massive number of illiterate refugees and give all your wealth to them. And we're going to give their kids the first spot in every college, and we're going to make sure their kids are the next wave of doctors who are going to butcher you when you're having a medical emergency'...communism and DEI is LITERALLY a recipe for national death. That is what Democrats are bringing us."

Stephen Miller: "We don't have a Democrat Party anymore...We have a communist party, but it's actually the worst kind of communism imaginable, which is DEI communism. So it's not just 'we're going to redistribute your wealth,' it's 'we're going to import massive number of illiterate refugees and give all your wealth to them. And we're going to give their kids the first spot in every college, and we're going to make sure their kids are the next wave of doctors who are going to butcher you when you're having a medical emergency'...communism and DEI is LITERALLY a recipe for national death. That is what Democrats are bringing us."

Julia 🇺🇸

194,273 次观看 • 7 个月前

Jensen Huang at GTC: "I expect data center build out to reach a trillion dollars, and I am fairly certain we're going to reach that very soon." "General purpose computing has run its course, and that we need a new computing approach." "In the past we wrote the software and we ran it on computers. In the future, the computer is going to generate the tokens for the software." "The computer has become a generator of tokens, not a retrieval of files."

Jensen Huang at GTC: "I expect data center build out to reach a trillion dollars, and I am fairly certain we're going to reach that very soon." "General purpose computing has run its course, and that we need a new computing approach." "In the past we wrote the software and we ran it on computers. In the future, the computer is going to generate the tokens for the software." "The computer has become a generator of tokens, not a retrieval of files."

vitrupo

55,974 次观看 • 1 年前

.Scott Wu to Joe Lonsdale on why Cognition uses AI in job interviews: "One or two years ago, people had this mentality of 'How do we make sure people aren't using AI while we're interviewing them?' And I think that has totally flipped. Honestly, I think that was wrong... If you're asking the question of like, how do we evaluate people on exactly the thing that AI can already do, that seems kind of the wrong. Our interview process has always been... you can use as much AI as you want to use. We're going to give you a few hours. Just build your whole own product surface. A lot of these are projects that, frankly, is like, if you were trying to do this by hand, you would not be able to get done in a few hours. So you kind of have to use AI for this. But in reality, what we actually want to test is, in addition to how familiar you are with these tools, what we actually want to test is, what do you think is the right thing to build? Or how do you make these product decisions? How do you make these trade-offs? How do you decide or collect information about what you should be doing?"

.Scott Wu to Joe Lonsdale on why Cognition uses AI in job interviews: "One or two years ago, people had this mentality of 'How do we make sure people aren't using AI while we're interviewing them?' And I think that has totally flipped. Honestly, I think that was wrong... If you're asking the question of like, how do we evaluate people on exactly the thing that AI can already do, that seems kind of the wrong. Our interview process has always been... you can use as much AI as you want to use. We're going to give you a few hours. Just build your whole own product surface. A lot of these are projects that, frankly, is like, if you were trying to do this by hand, you would not be able to get done in a few hours. So you kind of have to use AI for this. But in reality, what we actually want to test is, in addition to how familiar you are with these tools, what we actually want to test is, what do you think is the right thing to build? Or how do you make these product decisions? How do you make these trade-offs? How do you decide or collect information about what you should be doing?"

American Optimist

13,182 次观看 • 3 个月前

VANCE LEADING THE WAR ON FRAUD: The next few months is going to be FILLED with bombshell fraud schemes being EXPOSED to the world: "The president has asked me to take a full, whole government approach to trying to understand that. And what does that mean, Bill? That means, first of all, the Department of Justice is going to be investigating and where possible, throwing fraudsters in prison. But it's also going to mean that Scott Bessant and some of our friends at the Treasury Department, we're going to be looking at income tax records. We're going to be trying to understand how it is that the American people have been defrauded, how it is that people have used resources and programs that should go to American citizens instead have been going to fraudulent uses. There's a whole host of tools that we have that have never been used. And the president— I talked about this a couple of months ago and said, what if we just did everything that we could to stop the fraud that's being committed against the American taxpayer? The president said, great idea, let's do it. And we're going to work on that very aggressively over the next year." Time is ticking away JD Vance it's time to go into OVERDRIVE!

VANCE LEADING THE WAR ON FRAUD: The next few months is going to be FILLED with bombshell fraud schemes being EXPOSED to the world: "The president has asked me to take a full, whole government approach to trying to understand that. And what does that mean, Bill? That means, first of all, the Department of Justice is going to be investigating and where possible, throwing fraudsters in prison. But it's also going to mean that Scott Bessant and some of our friends at the Treasury Department, we're going to be looking at income tax records. We're going to be trying to understand how it is that the American people have been defrauded, how it is that people have used resources and programs that should go to American citizens instead have been going to fraudulent uses. There's a whole host of tools that we have that have never been used. And the president— I talked about this a couple of months ago and said, what if we just did everything that we could to stop the fraud that's being committed against the American taxpayer? The president said, great idea, let's do it. And we're going to work on that very aggressively over the next year." Time is ticking away JD Vance it's time to go into OVERDRIVE!

Gunther Eagleman™

29,571 次观看 • 5 个月前

I have a friend who doesn't read anything published in the past 50 years, and the more I think about it, the more I think he's onto something. The reason is that time is the best filter we have for quality. People are bad at judging quality in the moment but very good at getting rid of junk over time. — — "History is not very good at capturing all that is great in art. It is not good at that. There are many great symphonies that have been lost permanently, there are many great painters that died unknown and their paintings are gone, there's novels that have been written that no one will ever read. So history is not good at capturing all this great art. But history is very good at discarding all that is mediocre. And the amount of time that that takes, it's something like 50 years. So over the course of 50 years, what will happen is a lot of stuff that was prominent will be re-filtered and re-filtered and re-filtered, and you'll end up with a smaller group of things which have survived that test of time. So if you think about it right now, if you go back and look at the bestseller lists for 1974, 1973, there's a lot of that that would have been highly regarded at the time, which people do not read anymore for a variety of reasons, and there's some that has survived, and that's a very telling distinction. So in a world where I'm turning 60 this year, you have a limited amount of time, all four of us have active lives, we want to make sure that if we're going to sit down, we're going to read carefully, we're going to meet and we're going to discuss it in detail, we want to make sure that the work is rewarding. And the best way to ensure that is by drawing from the past." amor towles

I have a friend who doesn't read anything published in the past 50 years, and the more I think about it, the more I think he's onto something. The reason is that time is the best filter we have for quality. People are bad at judging quality in the moment but very good at getting rid of junk over time. — — "History is not very good at capturing all that is great in art. It is not good at that. There are many great symphonies that have been lost permanently, there are many great painters that died unknown and their paintings are gone, there's novels that have been written that no one will ever read. So history is not good at capturing all this great art. But history is very good at discarding all that is mediocre. And the amount of time that that takes, it's something like 50 years. So over the course of 50 years, what will happen is a lot of stuff that was prominent will be re-filtered and re-filtered and re-filtered, and you'll end up with a smaller group of things which have survived that test of time. So if you think about it right now, if you go back and look at the bestseller lists for 1974, 1973, there's a lot of that that would have been highly regarded at the time, which people do not read anymore for a variety of reasons, and there's some that has survived, and that's a very telling distinction. So in a world where I'm turning 60 this year, you have a limited amount of time, all four of us have active lives, we want to make sure that if we're going to sit down, we're going to read carefully, we're going to meet and we're going to discuss it in detail, we want to make sure that the work is rewarding. And the best way to ensure that is by drawing from the past." amor towles

David Perell

86,755 次观看 • 1 年前

Seattle Seahawks HC Mike Macdonald - Scouting Pass Protections - "You're really just trying to get what their rule is to start when they leave the huddle. What do I want to present them with because how am I going to anticipate how they're going to react based on the looks they've gotten in the past, the looks we've given them and then we can go to work." - "You definitely have to account for 7 man protection. You'll find the more you blitz, the more 7 man you're going to see." - "Those are decisions you have to make when you're building your plan. We know that we're getting this protection when they give us this formation and we got a sweet pressure that will hit them to do it, there is a spot and a time and place for that." - "There is a time & place for saying I'm not sure when they're going to go to 7 man, even if we're in 5 man rush, our dudes can get there. We're going to at least have a couple 1 on 1s that we can win. Let's not overdo it with all these checks and all this other BS so our guys can just go out there and execute the call, there is a space for that as well." - "And then there is also a space for hey we're brining two off the edge right here, they're going to have this picked up, why even run against the wall, let's check out of it and go to rush and coverage and double 2/3 guys running a route. Those are the questions you want to ask yourself throughout the week and a lot of times it comes down to whether or not you can anticipate them being in that particular thing."

Seattle Seahawks HC Mike Macdonald - Scouting Pass Protections - "You're really just trying to get what their rule is to start when they leave the huddle. What do I want to present them with because how am I going to anticipate how they're going to react based on the looks they've gotten in the past, the looks we've given them and then we can go to work." - "You definitely have to account for 7 man protection. You'll find the more you blitz, the more 7 man you're going to see." - "Those are decisions you have to make when you're building your plan. We know that we're getting this protection when they give us this formation and we got a sweet pressure that will hit them to do it, there is a spot and a time and place for that." - "There is a time & place for saying I'm not sure when they're going to go to 7 man, even if we're in 5 man rush, our dudes can get there. We're going to at least have a couple 1 on 1s that we can win. Let's not overdo it with all these checks and all this other BS so our guys can just go out there and execute the call, there is a space for that as well." - "And then there is also a space for hey we're brining two off the edge right here, they're going to have this picked up, why even run against the wall, let's check out of it and go to rush and coverage and double 2/3 guys running a route. Those are the questions you want to ask yourself throughout the week and a lot of times it comes down to whether or not you can anticipate them being in that particular thing."

James Light

68,135 次观看 • 20 天前