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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 просмотров • 3 месяцев назад •via X (Twitter)

Образование Новости и политика Наука и технологии

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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

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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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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

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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.

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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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”

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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."

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If we're going to have AIs that fully automate math, they not only need to solve existing problems. We also need to teach them how to recognize what problem to solve next. Human mathematicians have heuristic models that they use to decide what to work on, like, “There’s something important going on with the randomness of primes - let’s codify some patterns we see into specific conjectures.” But these aren’t currently precise enough for RL.

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