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As a first step, we are launching NaijaCivicTech, an open source platform where Nigerian in tech curate and build tiny tools that solve specific Nigerian problems together this is not a startup, not a pitch deck, just working software in the open, built for Nigeria for ease. The current... show more

U N C L E BIGBAY ✨

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33,738 次观看 • 3 个月前 •via X (Twitter)

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"What is P vs NP and how does it relate to human knowledge?" Avi Wigderson (Turing Award & Abel Prize winner): "In a very basic way, all the problems we want to solve are really NP problems. A subset of it is the problems we can solve. So the question of P versus NP is whether we can solve all the problems we want to solve, whether we can know everything we want to know. This is basically about the limits of our knowledge. You can think there is no limit to what we may want to know but I claim that essentially in any human endeavor, what people are searching for have the property that when a solution is found, it is easily recognized. NP are all problems that we can honestly say we really want to solve and P are those that we can solve. Whether they are equal is just the very fact that a solution can be easily recognized would imply that it can be efficiently found. That means that we can know everything we ever want to know, it's a fundamental question about human knowledge."

"What is P vs NP and how does it relate to human knowledge?" Avi Wigderson (Turing Award & Abel Prize winner): "In a very basic way, all the problems we want to solve are really NP problems. A subset of it is the problems we can solve. So the question of P versus NP is whether we can solve all the problems we want to solve, whether we can know everything we want to know. This is basically about the limits of our knowledge. You can think there is no limit to what we may want to know but I claim that essentially in any human endeavor, what people are searching for have the property that when a solution is found, it is easily recognized. NP are all problems that we can honestly say we really want to solve and P are those that we can solve. Whether they are equal is just the very fact that a solution can be easily recognized would imply that it can be efficiently found. That means that we can know everything we ever want to know, it's a fundamental question about human knowledge."

Ryan Peterman

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Deepa Soni, the executive vice president and CIO of New York Life Insurance Company sees AI as a "strategic enabler." “It’s not technology waiting to solve a business problem, but there are actual business problems that we can solve now with AI that we could not before.”

Deepa Soni, the executive vice president and CIO of New York Life Insurance Company sees AI as a "strategic enabler." “It’s not technology waiting to solve a business problem, but there are actual business problems that we can solve now with AI that we could not before.”

TIME

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The tax men don’t even care about source of your income, all they want is to tax it. Nigerians are not ready for these taxes at this time! The Nigerian problem is not a revenue problem, it is that we have squandamaniacs in power. #nigeria #taxes

The tax men don’t even care about source of your income, all they want is to tax it. Nigerians are not ready for these taxes at this time! The Nigerian problem is not a revenue problem, it is that we have squandamaniacs in power. #nigeria #taxes

Zekeri Idris Jnr

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Naval Ravikant explains the importance of hiring high-agency people “[Hire] 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. Because building a startup is an infinite set of problems that are being thrown at you.” Video Source: AngelList

Naval Ravikant explains the importance of hiring high-agency people “[Hire] 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. Because building a startup is an infinite set of problems that are being thrown at you.” Video Source: AngelList

Startup Archive

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Plaid’s problem is not that they don’t have the tools to do the job, it’s that the tools are being used for the wrong jobs.

Plaid’s problem is not that they don’t have the tools to do the job, it’s that the tools are being used for the wrong jobs.

Dan Thomas MS

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Four years ago, Polymer began to solve the scalability challenges developers face when building across chains. These problems have evolved, and so have we. We’ve explored different paths, learned from every iteration, and today, we have the tools to do it right and pave a new path for interoperability. This is an inflection point of who we are and where we’re going. Our new logo and website are a return to first principles, a tribute to why we came here in the first place: to solve real problems, build openly, and empower growth without limits. To fortify the foundations, we must evolve—together. Let’s keep building a world where apps can scale freely and meaningfully.

Polymer Labs 🛜

16,698 次观看 • 1 年前

Jack Dorsey on why building something for yourself can be better than trying to solve a problem When a 29 year old Jack Dorsey joined the podcasting startup Odeo, he soon learned that no one there really cared about podcasting either: “That was one of Odeo’s biggest failures. We were not building tools for us. We were building tools for other people.” As Odeo struggled, the team began to look for new ideas, and Jack presented his idea for Twitter. Somewhat counterintuitively, the product would not solve a specific problem: “Twitter solves no one’s problem at all. It was something we wanted to use. It was something we wanted to see in the world. It was something we wanted to use on a daily basis, and that’s all that drove us. That’s what got us up every single morning, and that’s what made it meaningful.” It turns out there were more people like Jack and the Odeo team who wanted to use it to. “I think that is one of the biggest lessons I learned—Twitter did not start as a company. Twitter started as a product within another company that was failing. And to me, this really emphasized the fact that entrepreneurship is not necessarily starting a new company. It’s actually just taking significant risk to build what you want to see in the world.” Video source: Berkeley Engineering (2013)

Jack Dorsey on why building something for yourself can be better than trying to solve a problem When a 29 year old Jack Dorsey joined the podcasting startup Odeo, he soon learned that no one there really cared about podcasting either: “That was one of Odeo’s biggest failures. We were not building tools for us. We were building tools for other people.” As Odeo struggled, the team began to look for new ideas, and Jack presented his idea for Twitter. Somewhat counterintuitively, the product would not solve a specific problem: “Twitter solves no one’s problem at all. It was something we wanted to use. It was something we wanted to see in the world. It was something we wanted to use on a daily basis, and that’s all that drove us. That’s what got us up every single morning, and that’s what made it meaningful.” It turns out there were more people like Jack and the Odeo team who wanted to use it to. “I think that is one of the biggest lessons I learned—Twitter did not start as a company. Twitter started as a product within another company that was failing. And to me, this really emphasized the fact that entrepreneurship is not necessarily starting a new company. It’s actually just taking significant risk to build what you want to see in the world.” Video source: Berkeley Engineering (2013)

Startup Archive

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Greene: I find absolutely pathetic, really, that all of us are not here in Washington, D.C. working every single day to make sure that we can get the government open, but also solve the problem of affordability for the American people and come up with a good solution once and for all for health insurance.

Greene: I find absolutely pathetic, really, that all of us are not here in Washington, D.C. working every single day to make sure that we can get the government open, but also solve the problem of affordability for the American people and come up with a good solution once and for all for health insurance.

Acyn

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ERIKA KIRK: “As Americans, we are all privileged to live in the greatest country in the world.” “Is it perfect? No, it's not. Do we have problems to solve? Of course, of course we do. But our country is the best that we have, and I do not want to lose it.”

ERIKA KIRK: “As Americans, we are all privileged to live in the greatest country in the world.” “Is it perfect? No, it's not. Do we have problems to solve? Of course, of course we do. But our country is the best that we have, and I do not want to lose it.”

Fox News

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ELON: SOMEONE HAS TO SOLVE ROCKET REUSABILITY — WHETHER IT’S SPACEX OR SOMEONE ELSE “The cost of the fuel and oxygen on a Falcon 9 is 0.3% of the cost of the rocket. So, it's a very tiny number. It's very similar to an airplane. How much does it cost to fuel up an airplane, and how much does it cost to buy an airplane? They're very different things. If humanity is ever to expand beyond Earth and establish a self-sustaining base on another planet, it's critical that we solve this problem. Whether it's SpaceX or someone else, someone has to solve the problem, and we can have a hundred-fold reduction in the cost of spaceflight. That's what SpaceX has been trying to do, and really that's been the goal since the beginning of the company. So far, I've not been very successful in that regard, but I think we have a handle on it. We've got a design that closes in the simulations. If we can build that thing, it should work.” Source: SXSW, March 2013

ELON: SOMEONE HAS TO SOLVE ROCKET REUSABILITY — WHETHER IT’S SPACEX OR SOMEONE ELSE “The cost of the fuel and oxygen on a Falcon 9 is 0.3% of the cost of the rocket. So, it's a very tiny number. It's very similar to an airplane. How much does it cost to fuel up an airplane, and how much does it cost to buy an airplane? They're very different things. If humanity is ever to expand beyond Earth and establish a self-sustaining base on another planet, it's critical that we solve this problem. Whether it's SpaceX or someone else, someone has to solve the problem, and we can have a hundred-fold reduction in the cost of spaceflight. That's what SpaceX has been trying to do, and really that's been the goal since the beginning of the company. So far, I've not been very successful in that regard, but I think we have a handle on it. We've got a design that closes in the simulations. If we can build that thing, it should work.” Source: SXSW, March 2013

Mario Nawfal

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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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🧠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."

The All-In Podcast

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Aravind Srinivas just explained why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. One advantage they (China) have is that they can actually build data centers a lot faster. Power is not a problem. Permits are not a problem. People are not a problem. Labor is not a problem. Expertise is not a problem. And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor." --- From "20VC with Harry Stebbings" YouTube channel (Harry Stebbings ), link in comment

Aravind Srinivas just explained why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. One advantage they (China) have is that they can actually build data centers a lot faster. Power is not a problem. Permits are not a problem. People are not a problem. Labor is not a problem. Expertise is not a problem. And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor." --- From "20VC with Harry Stebbings" YouTube channel (Harry Stebbings ), link in comment

Rohan Paul

135,792 次观看 • 8 天前

GR 💬 : [The front wing closing in two different stages] was not intential and it's not an advantage for sure. It's actually a problem, that we're trying to solve.

GR 💬 : [The front wing closing in two different stages] was not intential and it's not an advantage for sure. It's actually a problem, that we're trying to solve.

h ⋆ ⁶³

40,775 次观看 • 3 个月前

George Clooney says Sora 2 is "scary" but AI actors are "gonna have the same problem that we have in Hollywood, which is making a star is not so easy." "You can't really describe what makes someone a star, and it's not looks. It's something unusual and it's hard to detect. They’ll have the same problems that we have."

George Clooney says Sora 2 is "scary" but AI actors are "gonna have the same problem that we have in Hollywood, which is making a star is not so easy." "You can't really describe what makes someone a star, and it's not looks. It's something unusual and it's hard to detect. They’ll have the same problems that we have."

Variety

718,730 次观看 • 7 个月前

Cristiano Ronaldo shares the mindset shift that changed how he sees life “Sometimes we give so much energy to situations that don’t go well in our lives but when you have a health problem you just stop and your priority is the cure to resolve the sickness. The other things are not important” “We put everything in the same package trying to solve so many problems when sometimes this isn’t a problem. This is just situations of life, daily things” “We focus on so many things and we forget to focus on the main thing. Focus on your priorities, don’t focus on so many things” “This is what I learned over time. You start to see life in a different way”

Cristiano Ronaldo shares the mindset shift that changed how he sees life “Sometimes we give so much energy to situations that don’t go well in our lives but when you have a health problem you just stop and your priority is the cure to resolve the sickness. The other things are not important” “We put everything in the same package trying to solve so many problems when sometimes this isn’t a problem. This is just situations of life, daily things” “We focus on so many things and we forget to focus on the main thing. Focus on your priorities, don’t focus on so many things” “This is what I learned over time. You start to see life in a different way”

Jack

270,237 次观看 • 1 个月前

NHLaucher: a customizable component of NetHunter that provides feeling of desktop Kali running on Android with over 250 tools NHLauncher is an open-source app that makes it easier and faster to launch pentesting tools. It uses #NetHunter bridge for launching tools in terminal. All the commands are editable #KaliLinux

NHLaucher: a customizable component of NetHunter that provides feeling of desktop Kali running on Android with over 250 tools NHLauncher is an open-source app that makes it easier and faster to launch pentesting tools. It uses #NetHunter bridge for launching tools in terminal. All the commands are editable #KaliLinux

Mobile Hacker

89,669 次观看 • 2 年前

If Russian warships are sailing freely around Greenland, Ukraine can help – we have the expertise and weapons to ensure not one of those ships remains. They can sink near Greenland just as they do near Crimea. No problem – we have the tools and people. If we were asked, and if Ukraine were in NATO – but we are not – we would solve this problem with the Russian ships.

If Russian warships are sailing freely around Greenland, Ukraine can help – we have the expertise and weapons to ensure not one of those ships remains. They can sink near Greenland just as they do near Crimea. No problem – we have the tools and people. If we were asked, and if Ukraine were in NATO – but we are not – we would solve this problem with the Russian ships.

Volodymyr Zelenskyy / Володимир Зеленський

1,163,586 次观看 • 5 个月前