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When hiring executives, travis kalanick prioritizes one skill above all others: the ability to solve hard problems. "There's two things you want an executive to do. You want them to be able to organize, manage, and lead at scale. You also want them to be epic and strategic problem... solvers... the best executives are the ones that are doing both well." "I have come to the conclusion over my years, that problem solving is the most important thing. If you get somebody who organizes and manages well but cannot solve a problem, they're going to be doing ridiculous stuff in a super organized way. The only constraint on your imagination is management capacity. But what is management capacity? It's really problem solving at scale."show more

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Travis Kalanick's rule for pacing a company's ambition: "I'm constantly creating problems. 'Hey, let's do Uber in China.' And you don't have a full understanding of that problem when you create it. If you create a problem, you have to solve it." "I have this framework I call the meta problem. The derivative of your problem creation must be less than or equal to the derivative of your problem solving." "If it's not, you have a real problem. You're underwater." "You're guessing at what your capacity is to solve problems, and you're guessing six months, 12, 18 months ahead. When you get it really wrong, you must stop all problem creation so that you can get back above water." travis kalanick benahorowitz.eth Erik Torenberg

Travis Kalanick's rule for pacing a company's ambition: "I'm constantly creating problems. 'Hey, let's do Uber in China.' And you don't have a full understanding of that problem when you create it. If you create a problem, you have to solve it." "I have this framework I call the meta problem. The derivative of your problem creation must be less than or equal to the derivative of your problem solving." "If it's not, you have a real problem. You're underwater." "You're guessing at what your capacity is to solve problems, and you're guessing six months, 12, 18 months ahead. When you get it really wrong, you must stop all problem creation so that you can get back above water." travis kalanick benahorowitz.eth Erik Torenberg

a16z

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Naval Ravikant on the importance of hiring high-agency people Naval defines agency as: “People who just solve problems without even being asked to solve the problem—they identify the problem, they go solve it, they don’t even necessarily have to update you every step of the way, they’re not asking silly questions, and they’re just coming up with solutions.” He believes this is important because “building a startup is an infinite set of problems that are being thrown at you.” And there comes a day where you can’t even look at every problem your company is facing—let alone solve every one of them. He cites the Vinod Khosla aphorism: "The team you build is the company you build, not the plan you make.” And your ability to solve problems is based entirely on how many problem-solvers you have at your company. As Naval puts it: “If you have somebody who takes 10% of your time and management to solve problems, you can only have 10 of those people working with you. But if somebody takes 5%, you can have 20 of those people.” When building Airchat and AngelList, he thought of each team as a Navy Seal team: “Everyone is just really good at what they do. They know their job. They do it. They don’t complain. They’re not egotistical about it. And if they have to constantly be corrected, led around by the nose, you have to clean up after them, or you question their judgement, it’s not going to work out.”

Naval Ravikant on the importance of hiring high-agency people Naval defines agency as: “People who just solve problems without even being asked to solve the problem—they identify the problem, they go solve it, they don’t even necessarily have to update you every step of the way, they’re not asking silly questions, and they’re just coming up with solutions.” He believes this is important because “building a startup is an infinite set of problems that are being thrown at you.” And there comes a day where you can’t even look at every problem your company is facing—let alone solve every one of them. He cites the Vinod Khosla aphorism: "The team you build is the company you build, not the plan you make.” And your ability to solve problems is based entirely on how many problem-solvers you have at your company. As Naval puts it: “If you have somebody who takes 10% of your time and management to solve problems, you can only have 10 of those people working with you. But if somebody takes 5%, you can have 20 of those people.” When building Airchat and AngelList, he thought of each team as a Navy Seal team: “Everyone is just really good at what they do. They know their job. They do it. They don’t complain. They’re not egotistical about it. And if they have to constantly be corrected, led around by the nose, you have to clean up after them, or you question their judgement, it’s not going to work out.”

Startup Archive

552,837 Aufrufe • vor 2 Jahren

🇺🇸 ELON: "LIFE CAN'T JUST BE ABOUT SOLVING ONE MISERABLE PROBLEM AFTER ANOTHER - THERE NEED TO BE THINGS THAT INSPIRE YOU" "There are a lot of negative things in the world. There's a lot of terrible things that are happening all over the world, all the time. There are lots of problems that need to get solved. There's lots of things that are miserable and kind of get you down. But life cannot just be about solving one miserable problem after another. That can't be the only thing. There need to be things that inspire you, that make you glad to wake up in the morning and be part of humanity." Source: Elon Musk, Best Elon Musk Quotes 🚀

🇺🇸 ELON: "LIFE CAN'T JUST BE ABOUT SOLVING ONE MISERABLE PROBLEM AFTER ANOTHER - THERE NEED TO BE THINGS THAT INSPIRE YOU" "There are a lot of negative things in the world. There's a lot of terrible things that are happening all over the world, all the time. There are lots of problems that need to get solved. There's lots of things that are miserable and kind of get you down. But life cannot just be about solving one miserable problem after another. That can't be the only thing. There need to be things that inspire you, that make you glad to wake up in the morning and be part of humanity." Source: Elon Musk, Best Elon Musk Quotes 🚀

Mario Nawfal

583,428 Aufrufe • vor 8 Monaten

.travis kalanick describes his management style as “problem solver in chief." - He spends his time on the biggest problems no one else is solving - He expects every direct report to bring the same mentality to their org “There’s only 24 hours in a day. I can only solve so many myself. They have to take that for their world and do the same thing.”

.travis kalanick describes his management style as “problem solver in chief." - He spends his time on the biggest problems no one else is solving - He expects every direct report to bring the same mentality to their org “There’s only 24 hours in a day. I can only solve so many myself. They have to take that for their world and do the same thing.”

TBPN

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This is one of my favorite movie endings... It has a powerful lesson: "At some point, everything is going to go south on you...and you're gonna say 'this is it, this is how I end.' Now you can either accept that, or you can get to work. That's all it is, you just begin. You do the math. You solve one problem. Then you solve the next one. And the next. And if you solve enough problems, you get to come home." This is the beautiful thing about life: No matter where you are today—no matter how deep in the darkness—you are always just one good decision away from being in a better place tomorrow. You can always focus on that one decision—that one problem—in front of you. Don't worry about the hundreds or thousands of decisions that you still have to make to get to where you want to be—just focus on the next decision. Just begin. Solve one problem. Then solve the next one. And the next. "Life is really simple, but we insist on making it complicated." - Confucius

This is one of my favorite movie endings... It has a powerful lesson: "At some point, everything is going to go south on you...and you're gonna say 'this is it, this is how I end.' Now you can either accept that, or you can get to work. That's all it is, you just begin. You do the math. You solve one problem. Then you solve the next one. And the next. And if you solve enough problems, you get to come home." This is the beautiful thing about life: No matter where you are today—no matter how deep in the darkness—you are always just one good decision away from being in a better place tomorrow. You can always focus on that one decision—that one problem—in front of you. Don't worry about the hundreds or thousands of decisions that you still have to make to get to where you want to be—just focus on the next decision. Just begin. Solve one problem. Then solve the next one. And the next. "Life is really simple, but we insist on making it complicated." - Confucius

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Pope Leo XIV - "[...] all these immigrants continue to come. It's a huge problem, and it's a problem worldwide, not only in this country. There's got to be a way both to solve the problem, but also to treat people with respect."

Pope Leo XIV - "[...] all these immigrants continue to come. It's a huge problem, and it's a problem worldwide, not only in this country. There's got to be a way both to solve the problem, but also to treat people with respect."

1stclassclips

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ELON MUSK: There are always problems on Earth. There are always things that we wish to be better that we want to solve, and we should solve them. But there also have to be things that get you excited about the future, and that’s the future that SpaceX wants to bring to you.

ELON MUSK: There are always problems on Earth. There are always things that we wish to be better that we want to solve, and we should solve them. But there also have to be things that get you excited about the future, and that’s the future that SpaceX wants to bring to you.

DogeDesigner

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OpenAI President Greg Brockman on solving the Navier-Stokes problem: "If we have models that can solve this kind of problem, what happens from here?" "I think that talking about curing diseases and new medicines we're going to be able to develop, all of that starts to become much more real when you have models that are at this level of assistance and capability." "[This result] is really about the broader insights and methods that can help scientists and mathematicians further accelerate their research."

OpenAI President Greg Brockman on solving the Navier-Stokes problem: "If we have models that can solve this kind of problem, what happens from here?" "I think that talking about curing diseases and new medicines we're going to be able to develop, all of that starts to become much more real when you have models that are at this level of assistance and capability." "[This result] is really about the broader insights and methods that can help scientists and mathematicians further accelerate their research."

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🧠David Friedberg explains the great hope of Artificial Superintelligence: Massive leverage on time to solve thousand-year problems "I don't think that humans are limited in our ability to solve problems." "I think we're limited in terms of time, and what digital intelligence gives us is leverage on time so that we can now tackle ever more complex tasks." "This idea of superintelligence is that it could give us immense leverage in solving that complex problem that we otherwise may be challenged to solve over decades, or hundreds of years, or think about one day solving a problem that would take humans thousands of years to solve." "So if I as a human said, 'I would like to harness fusion power similar to what the sun uses to make energy, and I wanna do that on Earth,' today, we're in, call it year 40 or 50 of a research cycle of humans trying to solve that particularly complex problem." "It's a scientific problem, it's a discovery problem, it's an engineering problem." "Functionally, leveraging to complexity is where this becomes super compelling for humans." "And it's why I think we can and should be highly optimistic about living very long lives, and traveling anywhere we want, and having abundance in food, and having abundance in resources, and having abundance in recouping our time to do the things we want to do instead of the things that we have to do today."

🧠David Friedberg explains the great hope of Artificial Superintelligence: Massive leverage on time to solve thousand-year problems "I don't think that humans are limited in our ability to solve problems." "I think we're limited in terms of time, and what digital intelligence gives us is leverage on time so that we can now tackle ever more complex tasks." "This idea of superintelligence is that it could give us immense leverage in solving that complex problem that we otherwise may be challenged to solve over decades, or hundreds of years, or think about one day solving a problem that would take humans thousands of years to solve." "So if I as a human said, 'I would like to harness fusion power similar to what the sun uses to make energy, and I wanna do that on Earth,' today, we're in, call it year 40 or 50 of a research cycle of humans trying to solve that particularly complex problem." "It's a scientific problem, it's a discovery problem, it's an engineering problem." "Functionally, leveraging to complexity is where this becomes super compelling for humans." "And it's why I think we can and should be highly optimistic about living very long lives, and traveling anywhere we want, and having abundance in food, and having abundance in resources, and having abundance in recouping our time to do the things we want to do instead of the things that we have to do today."

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The hustle bros & the harmony bros are both wrong. This is the right mindset: “You mentioned sacrifices, about all the things that you lost to become professional. I never had the feeling that I did a lot of sacrifices. I just was not able to do all the things that my friends were doing every weekend. But I was able to do all the things. And I did. And at the same time, when you are doing what you want to do, you are not doing sacrifices. You work hard. Of course you push as much as you can. But you’re doing what you want to do.”

The hustle bros & the harmony bros are both wrong. This is the right mindset: “You mentioned sacrifices, about all the things that you lost to become professional. I never had the feeling that I did a lot of sacrifices. I just was not able to do all the things that my friends were doing every weekend. But I was able to do all the things. And I did. And at the same time, when you are doing what you want to do, you are not doing sacrifices. You work hard. Of course you push as much as you can. But you’re doing what you want to do.”

anu

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"That made me super proud man. ... When you want to live that lifestyle, it's only two things that come from it: death or in jail. It's okay to listen to the music and enjoy it, but don't fall so deep into it where you want to idolize it and be that. It's cute when you're 7, but when you get 17, 18, it's going to be a problem." - G HERBO

"That made me super proud man. ... When you want to live that lifestyle, it's only two things that come from it: death or in jail. It's okay to listen to the music and enjoy it, but don't fall so deep into it where you want to idolize it and be that. It's cute when you're 7, but when you get 17, 18, it's going to be a problem." - G HERBO

Club Shay Shay

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You want to be your own boss? Great. Start by being an apprentice. Learn the gears of the machine before you build your own. Solve a problem, sell the solution, and scale.

You want to be your own boss? Great. Start by being an apprentice. Learn the gears of the machine before you build your own. Solve a problem, sell the solution, and scale.

Kevin O'Leary aka Mr. Wonderful

26,121 Aufrufe • vor 1 Jahr

Marginal Revolution co-creator Alex Tabarrok says that AI replacing all jobs (which he doesn't think will happen) is a rich man's problem. "People are worried AI is going to do all the jobs. But this means we are going to be fabulously wealthy." "Even without any jobs, just being fabulously wealthy — we'll figure things out. This is the sort of problem you want to have." "This is not like a natural disaster, which destroys wealth. This is a tsunami which creates wealth." "Yes, it could be a tsunami in the sense that it's going to be very dramatic. But it's going to be very dramatic in the sense of like, Santa Claus coming and leaving us stuff under the Christmas tree. That's drama we can handle." "It won't be without problems. But problems where the pie gets bigger are problems we can solve." "It's problems when the pie gets smaller, when we are forced into a zero-sum society of one person versus another, that's when society breaks down." "But not when the pie is getting bigger. We'll figure out ways to make sure everyone gets a decent slice. We can solve the problem of dividing it up with everybody being happy. I'm much less worried about that."

Marginal Revolution co-creator Alex Tabarrok says that AI replacing all jobs (which he doesn't think will happen) is a rich man's problem. "People are worried AI is going to do all the jobs. But this means we are going to be fabulously wealthy." "Even without any jobs, just being fabulously wealthy — we'll figure things out. This is the sort of problem you want to have." "This is not like a natural disaster, which destroys wealth. This is a tsunami which creates wealth." "Yes, it could be a tsunami in the sense that it's going to be very dramatic. But it's going to be very dramatic in the sense of like, Santa Claus coming and leaving us stuff under the Christmas tree. That's drama we can handle." "It won't be without problems. But problems where the pie gets bigger are problems we can solve." "It's problems when the pie gets smaller, when we are forced into a zero-sum society of one person versus another, that's when society breaks down." "But not when the pie is getting bigger. We'll figure out ways to make sure everyone gets a decent slice. We can solve the problem of dividing it up with everybody being happy. I'm much less worried about that."

TBPN

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Inspiring speech by Elon Musk at SpaceX's bell-ringing ceremony: "I always think about this, there are always problems on earth, there are always problems in earth, there are always things that we wish to be better, that we want to solve here on earth and we should solve them. But there also have to be things that get you excited about the future that make you glad to wake up in the morning because you can't wait to see what happens next. And that's the future that SpaceX wants to bring to you."

Inspiring speech by Elon Musk at SpaceX's bell-ringing ceremony: "I always think about this, there are always problems on earth, there are always problems in earth, there are always things that we wish to be better, that we want to solve here on earth and we should solve them. But there also have to be things that get you excited about the future that make you glad to wake up in the morning because you can't wait to see what happens next. And that's the future that SpaceX wants to bring to you."

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Elon Musk: "There need to be things that inspire you, to make you glad to wake up in the morning and be part of humanity… Life cannot just be about solving one miserable problem after another. That can't be the only thing."

Elon Musk: "There need to be things that inspire you, to make you glad to wake up in the morning and be part of humanity… Life cannot just be about solving one miserable problem after another. That can't be the only thing."

Joe Rogan Podcast News

27,527 Aufrufe • vor 2 Monaten

Q: How do I know if my startup is working on a worthwhile problem? Former Google CEO Larry Page uses a simple framework called "The Toothbrush Test" to decide whether he likes a business. He asks himself if the product is, like a toothbrush, "something you will use once or twice a day." Y Combinator CEO Michael Seibel has a similar framework for assessing whether or not a startup is working on a good problem. As he explains in the clip below, it's extremely important to analyze the frequency and the intensity of the problem you're solving for the customer. He uses a car shopping website as an example. A lot of founders will think that their customer here is the person buying a car. But the problem with that is most people keep a car for 7 years. As he points out: "What happens if I told you I was going to create a startup and if my customer absolutely loves me, they're going to come back 7 years from now?" Probably not a great startup idea. This is why a lot of car buying websites are not built for the person shopping for a car--that person doesn't have the problem very often. They're actually built for the person selling the car, because that person has a problem every day. When you're assessing a startup idea, you want to do a frequency and intensity analysis of the problem. If you have an infrequent and low-intensity problem that you're trying to solve, you're going to have a hard time getting a lot of customers interested in even talking to you. All things equal, it's better for the problem you're solving to be higher-frequency and higher-intensity. Take Uber for example. Usually, when you need to go somewhere (e.g. work, doctor, pick up your kids, etc.), it's a pretty intense problem--so intense that people will spend $20,000 on a car to solve this problem. And then when you think about frequency: how often do you move more than walking distance every day? Probably a lot. Uber is clearly working on a worthwhile problem. If the problem your customer has is high-intensity and happens frequently, there's probably a good business to be built there.

Q: How do I know if my startup is working on a worthwhile problem? Former Google CEO Larry Page uses a simple framework called "The Toothbrush Test" to decide whether he likes a business. He asks himself if the product is, like a toothbrush, "something you will use once or twice a day." Y Combinator CEO Michael Seibel has a similar framework for assessing whether or not a startup is working on a good problem. As he explains in the clip below, it's extremely important to analyze the frequency and the intensity of the problem you're solving for the customer. He uses a car shopping website as an example. A lot of founders will think that their customer here is the person buying a car. But the problem with that is most people keep a car for 7 years. As he points out: "What happens if I told you I was going to create a startup and if my customer absolutely loves me, they're going to come back 7 years from now?" Probably not a great startup idea. This is why a lot of car buying websites are not built for the person shopping for a car--that person doesn't have the problem very often. They're actually built for the person selling the car, because that person has a problem every day. When you're assessing a startup idea, you want to do a frequency and intensity analysis of the problem. If you have an infrequent and low-intensity problem that you're trying to solve, you're going to have a hard time getting a lot of customers interested in even talking to you. All things equal, it's better for the problem you're solving to be higher-frequency and higher-intensity. Take Uber for example. Usually, when you need to go somewhere (e.g. work, doctor, pick up your kids, etc.), it's a pretty intense problem--so intense that people will spend $20,000 on a car to solve this problem. And then when you think about frequency: how often do you move more than walking distance every day? Probably a lot. Uber is clearly working on a worthwhile problem. If the problem your customer has is high-intensity and happens frequently, there's probably a good business to be built there.

Michael McGuiness

163,001 Aufrufe • vor 3 Jahren

"No one actually wants robots… people want solutions to their problems. And if you happen to solve that problem using robots because they’re the right way to do it, great." "But no one really wants AI, they want a solution to their problem, which might be writing a great email, or a great video, or a great image. AI is just a means to an end. Same way robots are a means to an end"

"No one actually wants robots… people want solutions to their problems. And if you happen to solve that problem using robots because they’re the right way to do it, great." "But no one really wants AI, they want a solution to their problem, which might be writing a great email, or a great video, or a great image. AI is just a means to an end. Same way robots are a means to an end"

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