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Jensen Huang was asked how Elon built Colossus, a 200,000-GPU supercomputer in Memphis, in four months. He didn't credit the money. He didn't credit the scale. He credited subtraction. Question every step until only the necessary remains, and you can't take anything else out. That is the reframe. And... it changes what "moving fast" is actually made of. The conventional story of a record build is addition. More people, more budget, more GPUs, more parallel workstreams. Speed as brute force. Jensen described the opposite instinct. Elon is a systems thinker who strips every step to its minimal form, then does it at system scale. "he is as minimalist as you could possibly imagine." Fast, because there is less to get wrong. Now here's where it gets interesting. The second half isn't strategy. It's location. Jensen said Elon is present at the point of action. If there's a problem, he goes there and says, show me the problem. Lex described watching him sit with an engineer to understand exactly how a cable gets plugged into a rack, so the process could be made less error-prone. Do the math on what that does to a supply chain. When the person making the call is standing at the rack, every supplier treats you as their top priority, because urgency at the top forces urgency everywhere below it. He is not out-spending the problem. He is out-subtracting and out-showing-up. The uncomfortable question for most orgs: how much of your timeline is real, and how much is just the distance between the decision-maker and the actual work ?show more

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Jensen Huang just reverse-engineered why Elon Musk operates at a speed no one on the planet can match. Three traits. The first is deletion. Huang: “He has the ability to question everything to the point where everything’s down to its minimal amount.” Most engineers solve problems by adding. Musk solves them by subtracting. Every part. Every process. Every assumption that survived because no one had the nerve to kill it. He picks it up. Asks if it’s load-bearing. If the answer is anything less than absolutely, it is gone. Not simplified. Not optimized. Removed. What survives is the skeleton. The bare physics of the problem. Nothing between intent and execution. Huang said it plainly. As minimalist as you could possibly imagine. And he does it at system scale. Not at a product level. Not at a department level. Across entire companies. Entire industries. Entire supply chains. He strips a rocket the same way he strips a meeting. Down to the load-bearing walls and nothing else. The second is presence. Huang: “He is present at the point of action. If there’s a problem, he’ll just go there and show me the problem.” Not a Slack message. Not a report filtered through four layers of people who weren’t there when it broke. He walks to the failure. Stands over it. Puts his hands on it. Most executives have never seen the actual problem their company is trying to solve. They have seen slides about it. Read summaries of it. Formed opinions about it in rooms that are nowhere near it. Musk stands over the broken hardware and does not leave until it works. That collapses the distance that buries most organizations. The gap between something breaking and the person with authority to fix it actually understanding what broke. In most companies, that gap is weeks. For Musk, it is hours. The third is the one that bends everyone around him. Huang: “When you act personally with so much urgency, it causes everybody else to act with urgency.” Every supplier has a hundred customers. Every vendor has a dozen priorities. Every manufacturer has a backlog stretching months into the future. Musk makes himself the top of every single one of those lists. Not by demanding it. By demonstrating it. When the CEO shows up at your facility at midnight. When he is moving faster than your own internal team. When his timeline makes yours look like a suggestion. You do not put him in the queue. You rearrange the queue around him. Huang watched this up close. Huang: “He does that by demonstrating.” Not by asking. Not by negotiating. Not by leveraging a contract clause. By moving so fast that everyone else’s normal pace feels like standing still. Three traits. Strip everything down. Show up at the failure. Move so fast the world rearranges around you. That is not a management philosophy. That is why one man runs six companies while entire boards cannot keep one moving.

Jensen Huang just reverse-engineered why Elon Musk operates at a speed no one on the planet can match. Three traits. The first is deletion. Huang: “He has the ability to question everything to the point where everything’s down to its minimal amount.” Most engineers solve problems by adding. Musk solves them by subtracting. Every part. Every process. Every assumption that survived because no one had the nerve to kill it. He picks it up. Asks if it’s load-bearing. If the answer is anything less than absolutely, it is gone. Not simplified. Not optimized. Removed. What survives is the skeleton. The bare physics of the problem. Nothing between intent and execution. Huang said it plainly. As minimalist as you could possibly imagine. And he does it at system scale. Not at a product level. Not at a department level. Across entire companies. Entire industries. Entire supply chains. He strips a rocket the same way he strips a meeting. Down to the load-bearing walls and nothing else. The second is presence. Huang: “He is present at the point of action. If there’s a problem, he’ll just go there and show me the problem.” Not a Slack message. Not a report filtered through four layers of people who weren’t there when it broke. He walks to the failure. Stands over it. Puts his hands on it. Most executives have never seen the actual problem their company is trying to solve. They have seen slides about it. Read summaries of it. Formed opinions about it in rooms that are nowhere near it. Musk stands over the broken hardware and does not leave until it works. That collapses the distance that buries most organizations. The gap between something breaking and the person with authority to fix it actually understanding what broke. In most companies, that gap is weeks. For Musk, it is hours. The third is the one that bends everyone around him. Huang: “When you act personally with so much urgency, it causes everybody else to act with urgency.” Every supplier has a hundred customers. Every vendor has a dozen priorities. Every manufacturer has a backlog stretching months into the future. Musk makes himself the top of every single one of those lists. Not by demanding it. By demonstrating it. When the CEO shows up at your facility at midnight. When he is moving faster than your own internal team. When his timeline makes yours look like a suggestion. You do not put him in the queue. You rearrange the queue around him. Huang watched this up close. Huang: “He does that by demonstrating.” Not by asking. Not by negotiating. Not by leveraging a contract clause. By moving so fast that everyone else’s normal pace feels like standing still. Three traits. Strip everything down. Show up at the failure. Move so fast the world rearranges around you. That is not a management philosophy. That is why one man runs six companies while entire boards cannot keep one moving.

Dustin

780,290 Aufrufe • vor 5 Monaten

Jensen Huang explains the one mindset that lets Elon Musk outwork entire industries "He questions everything to the point where everything is down to its minimal amount that's necessary - no, you can't take anything else out If there's a problem, he'll just go there and say, 'Show me the problem When you act personally with so much urgency, it causes everybody else to act with urgency He makes it his business that he's the top priority of everybody else's projects"

Jensen Huang explains the one mindset that lets Elon Musk outwork entire industries "He questions everything to the point where everything is down to its minimal amount that's necessary - no, you can't take anything else out If there's a problem, he'll just go there and say, 'Show me the problem When you act personally with so much urgency, it causes everybody else to act with urgency He makes it his business that he's the top priority of everybody else's projects"

X Freeze

21,689 Aufrufe • vor 5 Monaten

Jensen Huang was asked what NVIDIA's single biggest moat is. The most valuable company in the world. He didn't point to the chips. He said a competitor could clone CUDA exactly and it wouldn't matter. "if somebody came up with a GUDA or TUDA it wouldn't make any difference at all." That is the reframe. And it changes what NVIDIA is actually defending. The conventional story is that NVIDIA wins on silicon. Faster GPU, better transistors, more FLOPS. Which means the day someone ships a faster chip, the game is over. Every competitor is racing on that assumption. Jensen is defending something else entirely. He said it wasn't three people who made CUDA win. It was 43,000 people and several million developers who bet their software on it. The moat isn't the hardware. It's the install base. Now here's where it gets interesting. Put yourself in a developer's seat. Target CUDA and you reach a few hundred million machines: every cloud, every computer maker, every industry, every country. And the platform gets roughly 10x better every six months, for free, while you wait. A rival could ship a chip that is genuinely faster and still lose, because no rational developer ports a mountain of software off a platform that already owns the install base and improves itself every two quarters. He is not selling the best chip. He is renting out the largest install base in computing. The open question is whether better silicon can ever beat that, or whether the only way past a moat like this is to make the whole category obsolete.

Jensen Huang was asked what NVIDIA's single biggest moat is. The most valuable company in the world. He didn't point to the chips. He said a competitor could clone CUDA exactly and it wouldn't matter. "if somebody came up with a GUDA or TUDA it wouldn't make any difference at all." That is the reframe. And it changes what NVIDIA is actually defending. The conventional story is that NVIDIA wins on silicon. Faster GPU, better transistors, more FLOPS. Which means the day someone ships a faster chip, the game is over. Every competitor is racing on that assumption. Jensen is defending something else entirely. He said it wasn't three people who made CUDA win. It was 43,000 people and several million developers who bet their software on it. The moat isn't the hardware. It's the install base. Now here's where it gets interesting. Put yourself in a developer's seat. Target CUDA and you reach a few hundred million machines: every cloud, every computer maker, every industry, every country. And the platform gets roughly 10x better every six months, for free, while you wait. A rival could ship a chip that is genuinely faster and still lose, because no rational developer ports a mountain of software off a platform that already owns the install base and improves itself every two quarters. He is not selling the best chip. He is renting out the largest install base in computing. The open question is whether better silicon can ever beat that, or whether the only way past a moat like this is to make the whole category obsolete.

Vikram M

367,768 Aufrufe • vor 1 Monat

$Lex Fridman asked Jensen Huang if he is afraid of death. Huang did not flinch. Huang: “The outcome that I seek, that I hope for, is that I die on the job instantaneously.” That is not a figure of speech. That is a man telling you he has already decided how this ends. No retirement. No transition plan. No golden years on a beach somewhere tallying what he built. He wants to be mid-sentence in a meeting the moment his heart gives out. And when you understand why, it changes how you see everything Nvidia is doing. Huang: “This is not a once in a lifetime experience. This is a once in a humanity experience.” Once in a lifetime means others have lived through something comparable. He is saying no one has. Not Edison. Not Ford. Not anyone at Bell Labs or Xerox PARC. The deployment of artificial intelligence at this scale, at this speed, with this much consequence has no precedent in the history of the species. And Huang is sitting at the center of it. That is not ego. That is geography. Nvidia’s chips power virtually every major AI system on Earth right now. He knows what that means. And he treats it with a seriousness most people cannot even summon for their own lives, let alone the trajectory of civilization. Then Lex asked about succession planning. Huang’s answer should be framed on the wall of every founder alive. Huang: “I don’t believe in succession planning.” Not because he thinks he is immortal. Because he thinks it is the wrong question entirely. The right question is what are you doing today to make yourself unnecessary. Huang: “The most important thing you should do today is to pass on knowledge, information, insight, skills, experience as often and continuously as you can.” He does not wait until retirement to hand over what he knows. He does not save his best thinking for a memoir. The second he learns something, it is already moving to someone else on his team. Before he has even finished processing it himself. Huang: “Nothing I learn ever sits on my desk longer than a fraction of a second.” Most executives hoard knowledge. It is how they stay relevant. How they justify the title. How they make themselves impossible to replace. Huang does the opposite. He treats his own mind like a relay station. Information comes in, gets amplified, fires out to every node that needs it. Every meeting is a transfer. Every conversation is a download. The goal is not to be the smartest person in the building. The goal is to make the building smarter than any one person in it. That is why he does not need a succession plan. If you spend every day making the people around you capable of running without you, the org never notices the moment you are gone. Your fingerprints are in how they think. But he is not planning to leave. Huang: “I really don’t want to die. I have a great life. I have a great family. I have really important work.” No drama. No existential spiral. Just a man who looked at death and filed it under problems that can wait. There is still too much to build. The people planning their exit strategies are playing a different game than Jensen Huang. He is not building a company he can walk away from. He is building one that outlasts his heartbeat because every person inside it already thinks in patterns he installed. That is not a death wish. That is a man who found the only thing worth doing and refused to do anything else.$

Lex Fridman asked Jensen Huang if he is afraid of death. Huang did not flinch. Huang: “The outcome that I seek, that I hope for, is that I die on the job instantaneously.” That is not a figure of speech. That is a man telling you he has already decided how this ends. No retirement. No transition plan. No golden years on a beach somewhere tallying what he built. He wants to be mid-sentence in a meeting the moment his heart gives out. And when you understand why, it changes how you see everything Nvidia is doing. Huang: “This is not a once in a lifetime experience. This is a once in a humanity experience.” Once in a lifetime means others have lived through something comparable. He is saying no one has. Not Edison. Not Ford. Not anyone at Bell Labs or Xerox PARC. The deployment of artificial intelligence at this scale, at this speed, with this much consequence has no precedent in the history of the species. And Huang is sitting at the center of it. That is not ego. That is geography. Nvidia’s chips power virtually every major AI system on Earth right now. He knows what that means. And he treats it with a seriousness most people cannot even summon for their own lives, let alone the trajectory of civilization. Then Lex asked about succession planning. Huang’s answer should be framed on the wall of every founder alive. Huang: “I don’t believe in succession planning.” Not because he thinks he is immortal. Because he thinks it is the wrong question entirely. The right question is what are you doing today to make yourself unnecessary. Huang: “The most important thing you should do today is to pass on knowledge, information, insight, skills, experience as often and continuously as you can.” He does not wait until retirement to hand over what he knows. He does not save his best thinking for a memoir. The second he learns something, it is already moving to someone else on his team. Before he has even finished processing it himself. Huang: “Nothing I learn ever sits on my desk longer than a fraction of a second.” Most executives hoard knowledge. It is how they stay relevant. How they justify the title. How they make themselves impossible to replace. Huang does the opposite. He treats his own mind like a relay station. Information comes in, gets amplified, fires out to every node that needs it. Every meeting is a transfer. Every conversation is a download. The goal is not to be the smartest person in the building. The goal is to make the building smarter than any one person in it. That is why he does not need a succession plan. If you spend every day making the people around you capable of running without you, the org never notices the moment you are gone. Your fingerprints are in how they think. But he is not planning to leave. Huang: “I really don’t want to die. I have a great life. I have a great family. I have really important work.” No drama. No existential spiral. Just a man who looked at death and filed it under problems that can wait. There is still too much to build. The people planning their exit strategies are playing a different game than Jensen Huang. He is not building a company he can walk away from. He is building one that outlasts his heartbeat because every person inside it already thinks in patterns he installed. That is not a death wish. That is a man who found the only thing worth doing and refused to do anything else.

Dustin

25,617 Aufrufe • vor 5 Monaten

Jensen Huang was asked how China built so many world-class AI companies in ten years. He didn't credit the government. He didn't say they stole it. He pointed at the culture. In China, it's "family first, friends second, and company third." So the whole system is open source by default. That is the reframe. And it flips how the West explains China's speed. The conventional narrative is top-down central planning: a state pouring money into national champions, plus a lot of copied IP. Everyone repeats it. Jensen describes almost the opposite. China isn't one economy; it's provinces and cities with mayors competing against each other like startups. That's why there are dozens of EV companies and dozens of AI companies clawing to survive. What crawls out of that gauntlet is world-class. Now here's where it gets interesting. The second engine is social, not economic. Because friends and schoolmates outrank the employer, engineers share freely across rival companies. What are they protecting, when their brothers work down the street ? So the ecosystem defaults to open, and open source amplifies everyone at once. Half the world's AI researchers are Chinese, most still in China, wired into a culture that spreads every breakthrough at the speed of friendship. Competition sharpens the work. Openness distributes it. That combination compounds. He is not describing a command economy. He is describing the fastest-innovating culture on earth. The uncomfortable question for the West: can a system built to protect IP ever outrun one built to share it ?

Jensen Huang was asked how China built so many world-class AI companies in ten years. He didn't credit the government. He didn't say they stole it. He pointed at the culture. In China, it's "family first, friends second, and company third." So the whole system is open source by default. That is the reframe. And it flips how the West explains China's speed. The conventional narrative is top-down central planning: a state pouring money into national champions, plus a lot of copied IP. Everyone repeats it. Jensen describes almost the opposite. China isn't one economy; it's provinces and cities with mayors competing against each other like startups. That's why there are dozens of EV companies and dozens of AI companies clawing to survive. What crawls out of that gauntlet is world-class. Now here's where it gets interesting. The second engine is social, not economic. Because friends and schoolmates outrank the employer, engineers share freely across rival companies. What are they protecting, when their brothers work down the street ? So the ecosystem defaults to open, and open source amplifies everyone at once. Half the world's AI researchers are Chinese, most still in China, wired into a culture that spreads every breakthrough at the speed of friendship. Competition sharpens the work. Openness distributes it. That combination compounds. He is not describing a command economy. He is describing the fastest-innovating culture on earth. The uncomfortable question for the West: can a system built to protect IP ever outrun one built to share it ?

Vikram M

432,711 Aufrufe • vor 1 Monat

Marc Andreessen on Elon Musk: “I think probably the single biggest question in all of business right now is: why don't more CEOs operate the way that he does?” "The top-line thing is just this incredible devotion from the leader of the company to fully, deeply understand what the company does, and to be completely knowledgeable about every aspect of it." "To be in the trenches and talking directly to the people who do the work, deeply understanding the issues, and being the key, lead problem solver in the organization." "What Elon does is—he shows up every week at each of his companies, he identifies the biggest problem that the company's having that week, and he fixes it. He does that every week for 52 weeks in a row. And then each of his companies has solved the 52 biggest problems that year, in that year." "The side effect of it is—he attracts many of the best people in the world to work with him. Because if you work with Elon, the expectations are through the roof in terms of your level of performance." Source: Marc Andreessen 🇺🇸 on Chris Williamson

Marc Andreessen on Elon Musk: “I think probably the single biggest question in all of business right now is: why don't more CEOs operate the way that he does?” "The top-line thing is just this incredible devotion from the leader of the company to fully, deeply understand what the company does, and to be completely knowledgeable about every aspect of it." "To be in the trenches and talking directly to the people who do the work, deeply understanding the issues, and being the key, lead problem solver in the organization." "What Elon does is—he shows up every week at each of his companies, he identifies the biggest problem that the company's having that week, and he fixes it. He does that every week for 52 weeks in a row. And then each of his companies has solved the 52 biggest problems that year, in that year." "The side effect of it is—he attracts many of the best people in the world to work with him. Because if you work with Elon, the expectations are through the roof in terms of your level of performance." Source: Marc Andreessen 🇺🇸 on Chris Williamson

a16z

140,507 Aufrufe • vor 6 Monaten

Most people know Elon Musk as a CEO, a billionaire or the man behind SpaceX But at his core, Elon is an engineer When he started SpaceX, the top rocket engineers he approached did not want to join a startup they believed he was destined to fail So Elon became the rocket’s chief engineer himself He taught himself rocket engineering by reading everything he could, speaking with experts and working directly with the team And that mindset never left him When something goes wrong, Elon does not simply sit in a boardroom waiting for someone else to explain it He goes straight to the engineers, dives into the technical details and works through the problem with them in real time Whether it is a mechanical pin refusing to retract, hardware behaving unexpectedly under cryogenic conditions or a failure nobody fully understands yet, Elon gets close to the problem and searches for the root cause That is what makes him so different He does not only lead SpaceX from the top He understands the machines, questions every assumption and works alongside the people building them SpaceX achieved things that once thought impossible because Elon was never satisfied with merely managing the mission He wanted to understand every system standing between humanity and the stars

Most people know Elon Musk as a CEO, a billionaire or the man behind SpaceX But at his core, Elon is an engineer When he started SpaceX, the top rocket engineers he approached did not want to join a startup they believed he was destined to fail So Elon became the rocket’s chief engineer himself He taught himself rocket engineering by reading everything he could, speaking with experts and working directly with the team And that mindset never left him When something goes wrong, Elon does not simply sit in a boardroom waiting for someone else to explain it He goes straight to the engineers, dives into the technical details and works through the problem with them in real time Whether it is a mechanical pin refusing to retract, hardware behaving unexpectedly under cryogenic conditions or a failure nobody fully understands yet, Elon gets close to the problem and searches for the root cause That is what makes him so different He does not only lead SpaceX from the top He understands the machines, questions every assumption and works alongside the people building them SpaceX achieved things that once thought impossible because Elon was never satisfied with merely managing the mission He wanted to understand every system standing between humanity and the stars

X Freeze

207,935 Aufrufe • vor 1 Monat

Marc Andreessen went on Chris Williamson's podcast and broke down exactly how Elon Musk runs multiple companies at once No other CEO on Earth does this: 1. Every week, Musk shows up at each of his companies, identifies the single biggest problem that company is having that week, and fixes it. Then he does that for 52 weeks in a row. At the end of the year, each company has solved its 52 biggest problems. Meanwhile, most large companies are still having the planning meeting for the pre-planning meeting for the board presentation with the compliance review and the legal review attached. 2. This is not a new operating method. It is actually how the great industrialists of the late 1800s and early 1900s ran their companies. Henry Ford, Andrew Carnegie, Thomas Watson, who built IBM. Total devotion from the leader to fully and deeply understand what the company does, be in the trenches, talk directly to the people doing the work, and be the lead problem solver in the organization. Andreessen says he is not aware of another current CEO who operates this way. 3. The framework Musk uses is the bottleneck. In any manufacturing chain, there is always one thing holding everything up. Sometimes it is raw materials at the start. Sometimes it is warehousing at the end. Sometimes it is in the middle. The job is to find it and remove it. Musk has universalized this concept across every company he runs. In any given week, there is one main bottleneck. He micromanages the solution to that one thing and delegates almost everything else. 4. Musk delegates almost everything. Andreessen is clear about this. He is not involved in most of what his companies are doing. He is involved in the one thing that is the biggest problem right now. Once that is fixed, he moves to the next biggest problem. Everything else by definition, is running better than the bottleneck, so it does not need him. 5. When Musk identifies the bottleneck, he goes directly to the engineer who actually understands it. not the VP of engineering, not the director, not the manager. The individual contributor who has the actual technical knowledge. He sits in the room with that person and fixes the problem alongside them. He does not ask for a report to be reviewed in three weeks. he shows up at the keyboard or on the manufacturing line and works through it overnight if necessary. 6. This is why technical people who work for Musk say it was the best experience of their lives. Andreessen's framing: if you are stuck on a problem you cannot solve, Elon Musk is going to show up in his Gulfstream, sit with you in front of the keyboard, and help you figure it out. For an engineer who genuinely cares about the work, that is an almost incomprehensible level of support from the CEO of the company. 7. Business school teaches the opposite of this: management as a generic skill applicable to any industry. Soup company or a rocket company, the management principles are the same. process, balance sheet, meeting schedules, compliance, executive motivation, interpersonal conflict resolution. Andreessen says those skills are useful in many contexts. They just give you nothing; you need to do what Musk does. And Musk pushes as far as he can away from all of that so he can spend all of his time doing the things only he can do.

Marc Andreessen went on Chris Williamson's podcast and broke down exactly how Elon Musk runs multiple companies at once No other CEO on Earth does this: 1. Every week, Musk shows up at each of his companies, identifies the single biggest problem that company is having that week, and fixes it. Then he does that for 52 weeks in a row. At the end of the year, each company has solved its 52 biggest problems. Meanwhile, most large companies are still having the planning meeting for the pre-planning meeting for the board presentation with the compliance review and the legal review attached. 2. This is not a new operating method. It is actually how the great industrialists of the late 1800s and early 1900s ran their companies. Henry Ford, Andrew Carnegie, Thomas Watson, who built IBM. Total devotion from the leader to fully and deeply understand what the company does, be in the trenches, talk directly to the people doing the work, and be the lead problem solver in the organization. Andreessen says he is not aware of another current CEO who operates this way. 3. The framework Musk uses is the bottleneck. In any manufacturing chain, there is always one thing holding everything up. Sometimes it is raw materials at the start. Sometimes it is warehousing at the end. Sometimes it is in the middle. The job is to find it and remove it. Musk has universalized this concept across every company he runs. In any given week, there is one main bottleneck. He micromanages the solution to that one thing and delegates almost everything else. 4. Musk delegates almost everything. Andreessen is clear about this. He is not involved in most of what his companies are doing. He is involved in the one thing that is the biggest problem right now. Once that is fixed, he moves to the next biggest problem. Everything else by definition, is running better than the bottleneck, so it does not need him. 5. When Musk identifies the bottleneck, he goes directly to the engineer who actually understands it. not the VP of engineering, not the director, not the manager. The individual contributor who has the actual technical knowledge. He sits in the room with that person and fixes the problem alongside them. He does not ask for a report to be reviewed in three weeks. he shows up at the keyboard or on the manufacturing line and works through it overnight if necessary. 6. This is why technical people who work for Musk say it was the best experience of their lives. Andreessen's framing: if you are stuck on a problem you cannot solve, Elon Musk is going to show up in his Gulfstream, sit with you in front of the keyboard, and help you figure it out. For an engineer who genuinely cares about the work, that is an almost incomprehensible level of support from the CEO of the company. 7. Business school teaches the opposite of this: management as a generic skill applicable to any industry. Soup company or a rocket company, the management principles are the same. process, balance sheet, meeting schedules, compliance, executive motivation, interpersonal conflict resolution. Andreessen says those skills are useful in many contexts. They just give you nothing; you need to do what Musk does. And Musk pushes as far as he can away from all of that so he can spend all of his time doing the things only he can do.

Jaynit

271,890 Aufrufe • vor 2 Monaten

Marc Andreessen on Elon Musk: “Why don't more CEOs operate the way that he does? The top-line thing is just this incredible devotion from the leader of the company to deeply understand what the company does, and to be completely knowledgeable about every aspect of it. To be in the trenches and talking directly to the people who do the work, deeply understanding the issues, and being the key, lead problem solver in the organization. What Elon does is he shows up every week at each of his companies, he identifies the biggest problem that the company's having that week, and he fixes it. He does that every week for 52 weeks in a row. And then each of his companies has solved the 52 biggest problems that year, in that year. He attracts many of the best people in the world to work with him."

Marc Andreessen on Elon Musk: “Why don't more CEOs operate the way that he does? The top-line thing is just this incredible devotion from the leader of the company to deeply understand what the company does, and to be completely knowledgeable about every aspect of it. To be in the trenches and talking directly to the people who do the work, deeply understanding the issues, and being the key, lead problem solver in the organization. What Elon does is he shows up every week at each of his companies, he identifies the biggest problem that the company's having that week, and he fixes it. He does that every week for 52 weeks in a row. And then each of his companies has solved the 52 biggest problems that year, in that year. He attracts many of the best people in the world to work with him."

DogeDesigner

24,515 Aufrufe • vor 6 Monaten

JENSEN: ELON IS THE FASTEST BUILDER OF AI SUPERCOMPUTERS NVIDIA’s CEO Jensen Huang: “I would not be surprised if Elon gets to a gigawatt before anybody else does. These AI supercomputers are complicated things. The technology is complicated. Procuring it is complicated because of financing issues. Securing the land, power, and shell, powering it is complicated. Building it all, bringing it all up. This is unquestionably the most complex systems problem humanity has ever endeavored. Elon has a great advantage that in his head all of these systems are interoperating and the interdependencies resides in one head, including the financing. He's the ultimate GPU. He has a great advantage there and he has a great sense of urgency, he has a real desire to build it. And so, when will comes together with skill, unbelievable things can happen. That's quite unique.” Source: Jensen Huang on the Bg2 Pod, September 26, 2025

JENSEN: ELON IS THE FASTEST BUILDER OF AI SUPERCOMPUTERS NVIDIA’s CEO Jensen Huang: “I would not be surprised if Elon gets to a gigawatt before anybody else does. These AI supercomputers are complicated things. The technology is complicated. Procuring it is complicated because of financing issues. Securing the land, power, and shell, powering it is complicated. Building it all, bringing it all up. This is unquestionably the most complex systems problem humanity has ever endeavored. Elon has a great advantage that in his head all of these systems are interoperating and the interdependencies resides in one head, including the financing. He's the ultimate GPU. He has a great advantage there and he has a great sense of urgency, he has a real desire to build it. And so, when will comes together with skill, unbelievable things can happen. That's quite unique.” Source: Jensen Huang on the Bg2 Pod, September 26, 2025

Mario Nawfal

129,978 Aufrufe • vor 9 Monaten

Lex Fridman asked Elon Musk what the meaning of life is. His answer was not what anyone expected. We do not know, he said. And that is exactly why we need to expand consciousness. Not to find the answer. To ask better questions. He believes the universe is full of things we cannot even formulate yet. We are like children trying to understand calculus. The problem is not that calculus is too hard. The problem is that we have not developed enough to know it exists. Consciousness, to him, is a tool for exploring the universe. The more of it we have, the better our questions become. The better our questions become, the closer we get to understanding what any of this means. This is why he builds rockets and brain interfaces and AI. Not because he has the answers. Because he thinks the only way to get them is to expand what we are capable of thinking. Most people spend their lives looking for meaning. Elon is building the tools to look for it at a scale we cannot yet imagine.

Lex Fridman asked Elon Musk what the meaning of life is. His answer was not what anyone expected. We do not know, he said. And that is exactly why we need to expand consciousness. Not to find the answer. To ask better questions. He believes the universe is full of things we cannot even formulate yet. We are like children trying to understand calculus. The problem is not that calculus is too hard. The problem is that we have not developed enough to know it exists. Consciousness, to him, is a tool for exploring the universe. The more of it we have, the better our questions become. The better our questions become, the closer we get to understanding what any of this means. This is why he builds rockets and brain interfaces and AI. Not because he has the answers. Because he thinks the only way to get them is to expand what we are capable of thinking. Most people spend their lives looking for meaning. Elon is building the tools to look for it at a scale we cannot yet imagine.

Shruti

16,844 Aufrufe • vor 2 Monaten

Elon Musk revealed why he keeps working despite of his $800 billion net worth: 1. As a teenager, Musk had a full existential crisis trying to figure out the meaning of life. Religious texts did not convince him. So he turned to philosophy. Reading Schopenhauer and Nietzsche as a depressed teenager, he says, was a terrible idea. 2. Then he read Hitchhiker's Guide to the Galaxy and something shifted. Douglas Adams argued the real problem is not finding the answer to life. It is figuring out the right questions to ask in the first place. 3. In the book, Earth is a giant computer built to answer the meaning of life. It spends millions of years computing and delivers its answer. The answer is 42. The joke is that nobody knows what the question was. 4. That idea never left Musk. The universe is the answer. We just do not know what question it is answering. And to figure out the right question, you need a much bigger and more expansive consciousness than we currently have. 5. The more we can expand the scope and scale of consciousness, the better we can understand what questions to ask about the answer that is the universe. 6. This is why he wants more humans. More digital intelligence. More biological and artificial consciousness working together. Not for economic growth. Not for power. To collectively get better at asking the right questions. 7. This is why Mars matters to him. Not for the adventure. Not for the achievement. A single planet species is a single point of failure for consciousness itself. If something wipes out Earth, the question never gets asked. 8. "The more we can expand consciousness, become a multi-planet species, ultimately a multi-stellar species, we have a chance of figuring out what the hell is going on." 9. Everything he is building, the rockets, the AI, the robots, comes back to this one idea. He is not trying to get rich. He is trying to keep the candle of consciousness alive long enough to understand why it exists. 10. With $800 billion he could stop tomorrow. He does not stop because to him stopping would mean giving up on the only question that ever actually mattered. What is this all for and what are we supposed to be asking?

Elon Musk revealed why he keeps working despite of his $800 billion net worth: 1. As a teenager, Musk had a full existential crisis trying to figure out the meaning of life. Religious texts did not convince him. So he turned to philosophy. Reading Schopenhauer and Nietzsche as a depressed teenager, he says, was a terrible idea. 2. Then he read Hitchhiker's Guide to the Galaxy and something shifted. Douglas Adams argued the real problem is not finding the answer to life. It is figuring out the right questions to ask in the first place. 3. In the book, Earth is a giant computer built to answer the meaning of life. It spends millions of years computing and delivers its answer. The answer is 42. The joke is that nobody knows what the question was. 4. That idea never left Musk. The universe is the answer. We just do not know what question it is answering. And to figure out the right question, you need a much bigger and more expansive consciousness than we currently have. 5. The more we can expand the scope and scale of consciousness, the better we can understand what questions to ask about the answer that is the universe. 6. This is why he wants more humans. More digital intelligence. More biological and artificial consciousness working together. Not for economic growth. Not for power. To collectively get better at asking the right questions. 7. This is why Mars matters to him. Not for the adventure. Not for the achievement. A single planet species is a single point of failure for consciousness itself. If something wipes out Earth, the question never gets asked. 8. "The more we can expand consciousness, become a multi-planet species, ultimately a multi-stellar species, we have a chance of figuring out what the hell is going on." 9. Everything he is building, the rockets, the AI, the robots, comes back to this one idea. He is not trying to get rich. He is trying to keep the candle of consciousness alive long enough to understand why it exists. 10. With $800 billion he could stop tomorrow. He does not stop because to him stopping would mean giving up on the only question that ever actually mattered. What is this all for and what are we supposed to be asking?

Yasmine Khosrowshahi

105,576 Aufrufe • vor 2 Monaten

🇺🇸 JASON CALACANIS: THE FACTORY IS THE REAL TESLA PRODUCT "People forget how good Elon is at factories and real world things. What he did standing up Colossus impressed even Jensen. Elon has said the factory is the product of Tesla, not just the cars or batteries. If he keeps solving the energy problem with solar and batteries, he'll have a massive advantage." Source: The All-In Podcast Tesla

🇺🇸 JASON CALACANIS: THE FACTORY IS THE REAL TESLA PRODUCT "People forget how good Elon is at factories and real world things. What he did standing up Colossus impressed even Jensen. Elon has said the factory is the product of Tesla, not just the cars or batteries. If he keeps solving the energy problem with solar and batteries, he'll have a massive advantage." Source: The All-In Podcast Tesla

Mario Nawfal

79,881 Aufrufe • vor 1 Jahr

A BBC interviewer asked a Nobel physicist the simplest question in the world: why do two magnets push each other apart. He refused to answer it. What he did instead is the best seven minutes on thinking ever filmed. The man is Richard Feynman, at home in 1983, no blackboard, no notes, sitting in an armchair. He does not dodge because he cannot answer. He dodges because he wants you to see what the question is actually asking. So he takes an ordinary sentence, that a woman slipped on the ice and broke her hip, and starts asking why, and every answer opens another why, until the ground gives way. Then he turns it around on the interviewer with a question about ice that sounds trivial and is not. The point he arrives at is the uncomfortable one. Every explanation is only a translation into something you already accept without explanation. Magnets have no such translation. There is nothing more familiar than magnetism to reduce magnetism to, which is why every answer you were given at school was a picture, not a reason. It matters more now than it did in 1983. Any tool will hand you a fluent answer in a second. Knowing which questions actually have a bottom is the part that is still yours. One question. Seven minutes. It is in the video.

A BBC interviewer asked a Nobel physicist the simplest question in the world: why do two magnets push each other apart. He refused to answer it. What he did instead is the best seven minutes on thinking ever filmed. The man is Richard Feynman, at home in 1983, no blackboard, no notes, sitting in an armchair. He does not dodge because he cannot answer. He dodges because he wants you to see what the question is actually asking. So he takes an ordinary sentence, that a woman slipped on the ice and broke her hip, and starts asking why, and every answer opens another why, until the ground gives way. Then he turns it around on the interviewer with a question about ice that sounds trivial and is not. The point he arrives at is the uncomfortable one. Every explanation is only a translation into something you already accept without explanation. Magnets have no such translation. There is nothing more familiar than magnetism to reduce magnetism to, which is why every answer you were given at school was a picture, not a reason. It matters more now than it did in 1983. Any tool will hand you a fluent answer in a second. Knowing which questions actually have a bottom is the part that is still yours. One question. Seven minutes. It is in the video.

Stefan.

2,727,720 Aufrufe • vor 1 Monat

Every serious analyst has called Elon Musk's Terafab unrealistic. The CEO of the company that supplies the machines to build it just said it is an upside opportunity and compared it to the largest chip buildouts in history. That is not a small statement. ASML makes the lithography machines that every advanced semiconductor fab on earth depends on. You cannot print a chip without them. There is no workaround. There is no alternative supplier. If the Terafab gets built, every single machine inside it comes from one company. The interviewer asked the ASML CEO directly about one terawatt of compute power. He did not laugh. He did not hedge. He compared it to the massive DRAM megaprojects in Korea and said new projects at that scale are exactly the kind of upside ASML is positioned for. His exact words: "New projects are opportunity." Then he said something that most people missed. He said ASML is already watching the Terafab very carefully. Tracking when things will happen. At what speed. That is not how you talk about a fantasy project. The mainstream take on the Terafab is that Musk is dreaming. The CEO of the most critical company in the entire chip supply chain just said he is preparing for it. Those are not the same position. (Watch the full 11 minutes Interview at Bloomberg TV on YouTube)

Every serious analyst has called Elon Musk's Terafab unrealistic. The CEO of the company that supplies the machines to build it just said it is an upside opportunity and compared it to the largest chip buildouts in history. That is not a small statement. ASML makes the lithography machines that every advanced semiconductor fab on earth depends on. You cannot print a chip without them. There is no workaround. There is no alternative supplier. If the Terafab gets built, every single machine inside it comes from one company. The interviewer asked the ASML CEO directly about one terawatt of compute power. He did not laugh. He did not hedge. He compared it to the massive DRAM megaprojects in Korea and said new projects at that scale are exactly the kind of upside ASML is positioned for. His exact words: "New projects are opportunity." Then he said something that most people missed. He said ASML is already watching the Terafab very carefully. Tracking when things will happen. At what speed. That is not how you talk about a fantasy project. The mainstream take on the Terafab is that Musk is dreaming. The CEO of the most critical company in the entire chip supply chain just said he is preparing for it. Those are not the same position. (Watch the full 11 minutes Interview at Bloomberg TV on YouTube)

Ihtesham Ali

67,385 Aufrufe • vor 2 Monaten

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.

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 Aufrufe • vor 2 Monaten

Jensen Huang just admitted Nvidia is paying for BOTH ends of its own $500 billion deal. Every outlet ran the same headline: Nvidia is putting half a trillion dollars into Korea. The largest AI infrastructure commitment ever announced with a single partner. But when asked what was actually inside that number and whether this is Nvidia spending money in the Korean economy, or SK fronting the capital themselves, Jensen said this: "We're gonna be purchasing memories from them for many years to come. In order to build a trillion dollars worth of Vera Rubin systems, you're gonna have to buy a lot of system memories to go with it. And so we have large purchase agreements and large purchase intentions with SK Hynix. Meanwhile, SK Telecom is gonna become an AI cloud. And in that agreement, we will be selling AI supercomputers to them. So between us, we're gonna do $500 billion worth of business." He literally described two completely different transactions and added them together. Nvidia pays SK Hynix for memory chips. SK Telecom pays Nvidia for supercomputers. Both directions get stacked into one figure and handed to the market as demand. A large share of that half trillion dollars is Nvidia's own money going OUT the door. This is the CEO of the most important chip company on Earth. His silicon runs every serious AI system on the planet. If anyone alive could announce a clean half trillion in customer demand, it's him. Instead he announced a number that counts his own supplier payments as "business." But now this is where it gets genuinely crazy... Bloomberg asked how badly Nvidia needs Korean supply to grow. Jensen said Nvidia does not have enough bits. He said the company is constrained in HBM memory, constrained in LPDDR memory, and constrained in just about every part of the supply chain. Then he named the bottleneck nobody expected: "We're even constrained now with land and power and construction workers to set up the data centers." The company announcing the biggest AI deal in history cannot hire enough people to pour concrete. Then he capped the entire industry. He said the industry has the ability to double each year, and will have a hard time growing much faster than that. Now hold that against the target he set at the top of the same interview: He said the semiconductor industry probably has to become 10x larger than it is today over the next decade. Doubling annually clears that on a spreadsheet. But in reality it only happens if land, power and construction crews cooperate every single year for ten years straight. And the demand justifying all of it is a number most people have not heard yet. Jensen is planning for 100 BILLION AI agents and billions of robots using computers. That is the actual bet. 10x the industry, financed by deals where the vendor is also the customer, and gated by how fast you can find electricians. Korea's market did not celebrate any of this by the way. The KOSPI has been falling hard and SK Hynix and Samsung both slumped while the half trillion dollar headline was running. Jensen listed both directions of money and totaled them on camera because he does not think there is anything wrong with it. Maybe there isn't. Chips have to be bought before systems can be sold. But the market is pricing these announcements as demand, and at least half of this one is spending.

Jensen Huang just admitted Nvidia is paying for BOTH ends of its own $500 billion deal. Every outlet ran the same headline: Nvidia is putting half a trillion dollars into Korea. The largest AI infrastructure commitment ever announced with a single partner. But when asked what was actually inside that number and whether this is Nvidia spending money in the Korean economy, or SK fronting the capital themselves, Jensen said this: "We're gonna be purchasing memories from them for many years to come. In order to build a trillion dollars worth of Vera Rubin systems, you're gonna have to buy a lot of system memories to go with it. And so we have large purchase agreements and large purchase intentions with SK Hynix. Meanwhile, SK Telecom is gonna become an AI cloud. And in that agreement, we will be selling AI supercomputers to them. So between us, we're gonna do $500 billion worth of business." He literally described two completely different transactions and added them together. Nvidia pays SK Hynix for memory chips. SK Telecom pays Nvidia for supercomputers. Both directions get stacked into one figure and handed to the market as demand. A large share of that half trillion dollars is Nvidia's own money going OUT the door. This is the CEO of the most important chip company on Earth. His silicon runs every serious AI system on the planet. If anyone alive could announce a clean half trillion in customer demand, it's him. Instead he announced a number that counts his own supplier payments as "business." But now this is where it gets genuinely crazy... Bloomberg asked how badly Nvidia needs Korean supply to grow. Jensen said Nvidia does not have enough bits. He said the company is constrained in HBM memory, constrained in LPDDR memory, and constrained in just about every part of the supply chain. Then he named the bottleneck nobody expected: "We're even constrained now with land and power and construction workers to set up the data centers." The company announcing the biggest AI deal in history cannot hire enough people to pour concrete. Then he capped the entire industry. He said the industry has the ability to double each year, and will have a hard time growing much faster than that. Now hold that against the target he set at the top of the same interview: He said the semiconductor industry probably has to become 10x larger than it is today over the next decade. Doubling annually clears that on a spreadsheet. But in reality it only happens if land, power and construction crews cooperate every single year for ten years straight. And the demand justifying all of it is a number most people have not heard yet. Jensen is planning for 100 BILLION AI agents and billions of robots using computers. That is the actual bet. 10x the industry, financed by deals where the vendor is also the customer, and gated by how fast you can find electricians. Korea's market did not celebrate any of this by the way. The KOSPI has been falling hard and SK Hynix and Samsung both slumped while the half trillion dollar headline was running. Jensen listed both directions of money and totaled them on camera because he does not think there is anything wrong with it. Maybe there isn't. Chips have to be bought before systems can be sold. But the market is pricing these announcements as demand, and at least half of this one is spending.

Ricardo

35,609 Aufrufe • vor 1 Monat

Eric Schmidt on what he calls "the San Francisco consensus": "There's a group of people that I work with. They're all in San Francisco and they've all basically convinced themselves that in the next two to four year, the average is three years the entire world will change." He's careful to flag the catch in that word "consensus": "It's true that it's a consensus, but it's not necessarily true that the consensus is true." So why do these people believe it? Eric walks through the reasoning. First came language-to-language models. "ChatGPT is the best one, they did a great job," he says, with everyone else catching up. Then came two additions: reasoning, and memory inside these systems. Put those together and you get what he calls the agentic revolution: "The agentic revolution… can be understood as language in, memory and language, language out." To make it concrete, he uses a deliberately mundane example. Say he wants to build a house in California. One agent finds the lot. Another works out the rules. Another designs the building. Another selects the contractor. And, at least in America, another agent sues the contractor when the house doesn't work. The point of such a "stupid example," as he puts it, is exactly that it's ordinary: "I just gave you a workflow example that's true of every business, every government and every group human activity." That's why he thinks the consensus carries weight: "When you understand that the agentic revolution and the reasoning revolution together really changed the way we operate as humans, then you understand why the San Francisco consensus is so powerful." On the reasoning side, he points to models that work a problem forward and backward: "It will blow your mind away, especially when you ask it a question that you have no idea what the question is about and you watch it reason." And he cites the numbers he's seeing: "Google now has a math model that is at the 90 percentile of math graduate students." More broadly, he claims, "we now have systems now that are 90% of all of the graduate school skills. You know, math, physics, and so forth." When something can do that, he argues, "it will happen at a big scale." This is where the consensus reaches its sharpest point: recursive self-improvement. "There's a moment when what is called recursive self-improvement, the system begins to learn on itself, where it goes forward at a rate that is impossible for us to understand. It becomes combinatorial in a way that we as humans do not understand." His verdict on all of it is two-sided: "This is both incredibly exciting and also very worrisome."

Eric Schmidt on what he calls "the San Francisco consensus": "There's a group of people that I work with. They're all in San Francisco and they've all basically convinced themselves that in the next two to four year, the average is three years the entire world will change." He's careful to flag the catch in that word "consensus": "It's true that it's a consensus, but it's not necessarily true that the consensus is true." So why do these people believe it? Eric walks through the reasoning. First came language-to-language models. "ChatGPT is the best one, they did a great job," he says, with everyone else catching up. Then came two additions: reasoning, and memory inside these systems. Put those together and you get what he calls the agentic revolution: "The agentic revolution… can be understood as language in, memory and language, language out." To make it concrete, he uses a deliberately mundane example. Say he wants to build a house in California. One agent finds the lot. Another works out the rules. Another designs the building. Another selects the contractor. And, at least in America, another agent sues the contractor when the house doesn't work. The point of such a "stupid example," as he puts it, is exactly that it's ordinary: "I just gave you a workflow example that's true of every business, every government and every group human activity." That's why he thinks the consensus carries weight: "When you understand that the agentic revolution and the reasoning revolution together really changed the way we operate as humans, then you understand why the San Francisco consensus is so powerful." On the reasoning side, he points to models that work a problem forward and backward: "It will blow your mind away, especially when you ask it a question that you have no idea what the question is about and you watch it reason." And he cites the numbers he's seeing: "Google now has a math model that is at the 90 percentile of math graduate students." More broadly, he claims, "we now have systems now that are 90% of all of the graduate school skills. You know, math, physics, and so forth." When something can do that, he argues, "it will happen at a big scale." This is where the consensus reaches its sharpest point: recursive self-improvement. "There's a moment when what is called recursive self-improvement, the system begins to learn on itself, where it goes forward at a rate that is impossible for us to understand. It becomes combinatorial in a way that we as humans do not understand." His verdict on all of it is two-sided: "This is both incredibly exciting and also very worrisome."

High Signal AI

31,085 Aufrufe • vor 2 Monaten

He Played “Walk of Life” as If the Song Already Knew the Way The odd thing about watching Mark Knopfler in 1996 is not how much he does. It is how little he needs to do. He does not patrol the stage to remind anyone who is holding the guitar. He does not dress the solo up as a contest. He stands inside the song and lets it keep its own pace, which is rarer than virtuosity and harder to fake. That is the real subject of the clip. We have been trained to treat difficulty as the proof of value: more notes, more motion, more visible strain. Knopfler works in the opposite direction. The lines are clean. The spaces around them are part of the playing. He leaves room for the band, for the bounce of the rhythm, for the audience to enter without being instructed. Confidence, here, looks like refusal to crowd the frame. “Walk of Life” helps him. It was never built as a monument. It wants movement. The riff has that easy forward lean, the feeling that the body recognizes the walk before the mind names the song. Under the cheer there is nothing ornate. People get on with it. They keep walking. They keep playing. The joy is ordinary on purpose, which is why it still lands when so many “uplifting” anthems now sound like they are selling you a mood. Watching it now changes the temperature of the performance. In the mid-90s a live groove did not have to win a two-second fight against the next clip. A band could settle and stay. The music had duration. That duration is what makes Knopfler’s restraint visible. If you only glance, it can look like he is doing less. If you stay, you notice he is doing the one thing that spectacle often ruins: he is keeping the song intact. So the pull of this old tape is not nostalgia for a haircut or a stage set. It is the relief of watching a musician who knows when to play, when to step back, and when to let the tune carry the room. He is not trying to make “Walk of Life” look impressive. He is playing it as if walking were enough. Which 1990s live performance still feels like that to you — not louder than the song, just sure of it?

He Played “Walk of Life” as If the Song Already Knew the Way The odd thing about watching Mark Knopfler in 1996 is not how much he does. It is how little he needs to do. He does not patrol the stage to remind anyone who is holding the guitar. He does not dress the solo up as a contest. He stands inside the song and lets it keep its own pace, which is rarer than virtuosity and harder to fake. That is the real subject of the clip. We have been trained to treat difficulty as the proof of value: more notes, more motion, more visible strain. Knopfler works in the opposite direction. The lines are clean. The spaces around them are part of the playing. He leaves room for the band, for the bounce of the rhythm, for the audience to enter without being instructed. Confidence, here, looks like refusal to crowd the frame. “Walk of Life” helps him. It was never built as a monument. It wants movement. The riff has that easy forward lean, the feeling that the body recognizes the walk before the mind names the song. Under the cheer there is nothing ornate. People get on with it. They keep walking. They keep playing. The joy is ordinary on purpose, which is why it still lands when so many “uplifting” anthems now sound like they are selling you a mood. Watching it now changes the temperature of the performance. In the mid-90s a live groove did not have to win a two-second fight against the next clip. A band could settle and stay. The music had duration. That duration is what makes Knopfler’s restraint visible. If you only glance, it can look like he is doing less. If you stay, you notice he is doing the one thing that spectacle often ruins: he is keeping the song intact. So the pull of this old tape is not nostalgia for a haircut or a stage set. It is the relief of watching a musician who knows when to play, when to step back, and when to let the tune carry the room. He is not trying to make “Walk of Life” look impressive. He is playing it as if walking were enough. Which 1990s live performance still feels like that to you — not louder than the song, just sure of it?

Emotion & Music

30,502 Aufrufe • vor 4 Tagen

Marc Andreessen explains the "Elon Method" of leadership, and it completely contradicts how most CEOs operate today. Most leaders get bogged down trying to manage every single moving part of their business. But according to Andreessen, Elon's approach is actually the exact opposite: he delegates almost everything. He isn't involved in 99% of what his companies are doing on a daily basis. Instead, his entire focus is hunting for one specific thing: The Bottleneck. In any manufacturing chain, there is always a bottleneck keeping the line from running the way it's supposed to. It could be a lack of raw materials at the beginning, or a shortage of warehouse space at the end. Whatever it is, that bottleneck is holding everything up. Job number one is to remove it and get things flowing again. Elon has universalized this concept. He looks at every company like it's a conceptual assembly line—sometimes a literal one making cars and rockets. He knows that on any given week, there is guaranteed to be one main bottleneck holding his people back. So, what’s the secret to his management paradox? He relentlessly micromanages the solution to that one specific problem. He doesn't need to manage everything else because, by definition, the rest of the company is running better than the bottleneck. Once it's fixed, he moves on to the next biggest problem. But here is the part where most non-technical CEOs would completely fail trying to replicate this method: When Elon identifies the bottleneck, he has zero patience for bureaucracy. He doesn't ask the VP of Engineering to ask the Director to ask the Manager to ask the individual contributor to write a report to be reviewed in three weeks. He would throw that entire chain of command out the window. Instead, he bypasses the middleman completely. He goes straight to the manufacturing line or the software group, personally finds the exact line engineer who actually understands the technical nature of the bottleneck, sits in a room with them, and fixes the problem together.

Marc Andreessen explains the "Elon Method" of leadership, and it completely contradicts how most CEOs operate today. Most leaders get bogged down trying to manage every single moving part of their business. But according to Andreessen, Elon's approach is actually the exact opposite: he delegates almost everything. He isn't involved in 99% of what his companies are doing on a daily basis. Instead, his entire focus is hunting for one specific thing: The Bottleneck. In any manufacturing chain, there is always a bottleneck keeping the line from running the way it's supposed to. It could be a lack of raw materials at the beginning, or a shortage of warehouse space at the end. Whatever it is, that bottleneck is holding everything up. Job number one is to remove it and get things flowing again. Elon has universalized this concept. He looks at every company like it's a conceptual assembly line—sometimes a literal one making cars and rockets. He knows that on any given week, there is guaranteed to be one main bottleneck holding his people back. So, what’s the secret to his management paradox? He relentlessly micromanages the solution to that one specific problem. He doesn't need to manage everything else because, by definition, the rest of the company is running better than the bottleneck. Once it's fixed, he moves on to the next biggest problem. But here is the part where most non-technical CEOs would completely fail trying to replicate this method: When Elon identifies the bottleneck, he has zero patience for bureaucracy. He doesn't ask the VP of Engineering to ask the Director to ask the Manager to ask the individual contributor to write a report to be reviewed in three weeks. He would throw that entire chain of command out the window. Instead, he bypasses the middleman completely. He goes straight to the manufacturing line or the software group, personally finds the exact line engineer who actually understands the technical nature of the bottleneck, sits in a room with them, and fixes the problem together.

Ian Miles Cheong

71,502 Aufrufe • vor 4 Monaten