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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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Bildung Nachrichten & Politik Wissenschaft & Technologie

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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."

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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

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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)

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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.

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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."

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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.

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I left NotebookLM a few months ago to solve a bigger problem in learning. Today, as the first step, we are launching Wondering for early access. It's Duolingo for anything — turning any topic into a guided path with bite-size visual lessons that can fit into your busy schedule. But you don't sacrifice depth/effectiveness for convenience: Total Control: You decide how deep you want to go, how difficult the material should be, and how personalized the experience feels. Active Learning: We provide the tools you need to practice, test your understanding, and actually apply what you’ve learned. Long-term Mastery: It’s built to help you truly remember and master any subject, not just skim the surface.

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