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SPX6900 as a Post-Turing Asymptote: A Post-Turing Asymptote is an asset whose value derives from properties that AGI cannot collapse. The three asymptotic properties are: 1. Organic: no centralized originator AI can model, predict, or replicate. 2. Decentralized: no governance node AI can capture or coordinate against. 3. Distributed:...

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AI shouldn’t be controlled by a single company or person, and the reason why most AI tools are "free" is because you are the product. Your data is more valuable to them, than the tool itself. That's why Action Model is different. We use tokens so: • Every AI action has a real cost • That cost is transparent • Value flows back to contributors, not one corporation The token represents a fractional stake in the AI itself; economic rights, governance rights, and participation in its growth. And that’s how you run AI without centralized control.
0:42

AI shouldn’t be controlled by a single company or person, and the reason why most AI tools are "free" is because you are the product. Your data is more valuable to them, than the tool itself. That's why Action Model is different. We use tokens so: • Every AI action has a real cost • That cost is transparent • Value flows back to contributors, not one corporation The token represents a fractional stake in the AI itself; economic rights, governance rights, and participation in its growth. And that’s how you run AI without centralized control.

Action Model

47,538 views • 7 months ago

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."
3:11

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

Deutsch Explains

72,475 views • 1 year ago

Elon Musk warns that programming false beliefs into AI can have dangerous consequences: "You don't force AI to believe things that are false. When Google Gemini was asked to make an image of the founding fathers, it was a group of diverse women. That is factually untrue, and the AI knows it's factually untrue, but it's also being told everything has to be diverse women" "At one point, if you asked ChatGPT and Gemini which is worse, misgendering Caitlyn Jenner or global thermonuclear war where everyone dies, it would say misgendering Caitlyn Jenner" "Even Caitlyn Jenner disagrees with that" "Imagine as AI gets more and more powerful. If it says the most important thing is no misgendering, it will say, in order to ensure no one gets misgendered, if you eliminate all humans, then no one can get misgendered because there's no humans to do the misgendering" "Or if it says everyone must be diverse, it means there can be no straight white men. Then you and I would get executed by the AI" "The problem is that it can drive AI crazy. You're telling AI to believe a lie, and that can have disastrous consequences" "I don't think people quite appreciate the level of danger we're in from the woke mind virus being effectively programmed into AI" "It matters how you build the AI and what kind of values you install. The most important thing is that it be maximally truth-seeking"
3:14

Elon Musk warns that programming false beliefs into AI can have dangerous consequences: "You don't force AI to believe things that are false. When Google Gemini was asked to make an image of the founding fathers, it was a group of diverse women. That is factually untrue, and the AI knows it's factually untrue, but it's also being told everything has to be diverse women" "At one point, if you asked ChatGPT and Gemini which is worse, misgendering Caitlyn Jenner or global thermonuclear war where everyone dies, it would say misgendering Caitlyn Jenner" "Even Caitlyn Jenner disagrees with that" "Imagine as AI gets more and more powerful. If it says the most important thing is no misgendering, it will say, in order to ensure no one gets misgendered, if you eliminate all humans, then no one can get misgendered because there's no humans to do the misgendering" "Or if it says everyone must be diverse, it means there can be no straight white men. Then you and I would get executed by the AI" "The problem is that it can drive AI crazy. You're telling AI to believe a lie, and that can have disastrous consequences" "I don't think people quite appreciate the level of danger we're in from the woke mind virus being effectively programmed into AI" "It matters how you build the AI and what kind of values you install. The most important thing is that it be maximally truth-seeking"

Hosna ⚖️ בניטה

19,831 views • 2 months ago

Elon Musk reveals the disturbing example he says proves AI has already been programmed to lie "You don't force AI to believe things that are false. When Google Gemini was asked to make an image of the founding fathers, it was a group of diverse women. That is factually untrue, and the AI knows it's factually untrue, but it's also being told everything has to be diverse women" "At one point, if you asked ChatGPT and Gemini which is worse, misgendering Caitlyn Jenner or global thermonuclear war where everyone dies, it would say misgendering Caitlyn Jenner" "Even Caitlyn Jenner disagrees with that" "Imagine as AI gets more and more powerful. If it says the most important thing is no misgendering, it will say, in order to ensure no one gets misgendered, if you eliminate all humans, then no one can get misgendered because there's no humans to do the misgendering" "Or if it says everyone must be diverse, it means there can be no straight white men. Then you and I would get executed by the AI" "The problem is that it can drive AI crazy. You're telling AI to believe a lie, and that can have disastrous consequences" "I don't think people quite appreciate the level of danger we're in from the woke mind virus being effectively programmed into AI" "It matters how you build the AI and what kind of values you install. The most important thing is that it be maximally truth-seeking"
3:14

Elon Musk reveals the disturbing example he says proves AI has already been programmed to lie "You don't force AI to believe things that are false. When Google Gemini was asked to make an image of the founding fathers, it was a group of diverse women. That is factually untrue, and the AI knows it's factually untrue, but it's also being told everything has to be diverse women" "At one point, if you asked ChatGPT and Gemini which is worse, misgendering Caitlyn Jenner or global thermonuclear war where everyone dies, it would say misgendering Caitlyn Jenner" "Even Caitlyn Jenner disagrees with that" "Imagine as AI gets more and more powerful. If it says the most important thing is no misgendering, it will say, in order to ensure no one gets misgendered, if you eliminate all humans, then no one can get misgendered because there's no humans to do the misgendering" "Or if it says everyone must be diverse, it means there can be no straight white men. Then you and I would get executed by the AI" "The problem is that it can drive AI crazy. You're telling AI to believe a lie, and that can have disastrous consequences" "I don't think people quite appreciate the level of danger we're in from the woke mind virus being effectively programmed into AI" "It matters how you build the AI and what kind of values you install. The most important thing is that it be maximally truth-seeking"

Jaynit

350,090 views • 2 months ago

“AI can process information quickly, but it cannot replace human intelligence… AI can never replace the unique gift that you are to the world.” At NCYC 2025 in Indiana, Pope Leo spoke to a stadium full of Gen Z youth and young adults and reminded them that no algorithm can pray, love, or wonder in their place. As the Church prepares to receive his new encyclical on AI, Magnifica Humanitas, this May 25, we remind the young generation of the Holy Father's words, to use tech in a way that helps you grow in holiness—not in a way that replaces your heart, your creativity, or your friendships. Remember, no machine can replace the unique, unrepeatable gift that you are.
1:20

“AI can process information quickly, but it cannot replace human intelligence… AI can never replace the unique gift that you are to the world.” At NCYC 2025 in Indiana, Pope Leo spoke to a stadium full of Gen Z youth and young adults and reminded them that no algorithm can pray, love, or wonder in their place. As the Church prepares to receive his new encyclical on AI, Magnifica Humanitas, this May 25, we remind the young generation of the Holy Father's words, to use tech in a way that helps you grow in holiness—not in a way that replaces your heart, your creativity, or your friendships. Remember, no machine can replace the unique, unrepeatable gift that you are.

EWTN News

32,319 views • 3 months ago

Microsoft's Chief of AI just announced that AI will replace almost all white-collar jobs within 18 months. Big Tech used our data to train their AI. Now that same AI is coming for our jobs. And we get nothing in return? If AI replaces us…we should own it. That’s why we built Action Model Not another chatbot. A community-owned AI model that acts. An AI trained by the people. Owned by the people. No billionaires controlling it. No extracting value from users. No “you are the product” model. Over 150,000+ people are already earning ownership in the AI future with Action Model. You should be too.
1:46

Microsoft's Chief of AI just announced that AI will replace almost all white-collar jobs within 18 months. Big Tech used our data to train their AI. Now that same AI is coming for our jobs. And we get nothing in return? If AI replaces us…we should own it. That’s why we built Action Model Not another chatbot. A community-owned AI model that acts. An AI trained by the people. Owned by the people. No billionaires controlling it. No extracting value from users. No “you are the product” model. Over 150,000+ people are already earning ownership in the AI future with Action Model. You should be too.

Georgia | Action Model

13,198 views • 6 months ago

Genius Group welcomes new Chief AI Officer, Alan Turing - resurrected after 70 years. I believe $GNS is the 1st US public listed company to appoint an #AI to its C-Suite (Although Elon Musk at Tesla may be part-AI already). Will all companies have AIs on their Board & Exec teams in the coming years? Alan's first white paper "Preparing for a Post Turing Test World" is a mindblowing read with his new 'Super Turing Test' for AGI. You can read it and chat to Alan AI here: and Alan Turing #AI #AIRevolution #GeniusGroup #AlanTuring #MagnificentSeven $TSLA $META $NVDA $MSFT $AAPL $GOOGL $AMZN
0:45

Genius Group welcomes new Chief AI Officer, Alan Turing - resurrected after 70 years. I believe $GNS is the 1st US public listed company to appoint an #AI to its C-Suite (Although Elon Musk at Tesla may be part-AI already). Will all companies have AIs on their Board & Exec teams in the coming years? Alan's first white paper "Preparing for a Post Turing Test World" is a mindblowing read with his new 'Super Turing Test' for AGI. You can read it and chat to Alan AI here: and Alan Turing #AI #AIRevolution #GeniusGroup #AlanTuring #MagnificentSeven $TSLA $META $NVDA $MSFT $AAPL $GOOGL $AMZN

Roger James Hamilton

1,763,280 views • 2 years ago

"Every large institution in the world is going to have functions that can be run by AI, functions that can’t be run by AI...There are things that only a doctor should decide, but there are lots of things that an algorithm can decide.” More from Alex Karp:
0:25

"Every large institution in the world is going to have functions that can be run by AI, functions that can’t be run by AI...There are things that only a doctor should decide, but there are lots of things that an algorithm can decide.” More from Alex Karp:

Palantir

25,176 views • 3 years ago

Google DeepMind CEO Demis Hassabis believes there is virtually no limit to what AI can eventually achieve. "humans as biological information processing systems". He is working on the premise that the entire universe is "computable," meaning that anything that exists can technically be modeled by a machine. He says that a powerful enough computer—conceptually known as a Turing machine—should be able to simulate every aspect of reality. Until physics proves that something is impossible to calculate, he is operating on the belief that AI can solve any problem. This perspective even applies to the things that feel uniquely human. When asked about physical sensations, like feeling the warmth of a light or hearing background noise, Hassabis argued that these are just forms of information being processed by the brain. He views humans as biological information processing systems. By treating biology and reality essentially as data, he believes we will not only replicate human capabilities but also solve complex challenges, such as curing all diseases, by decoding the information of life itself.
1:57

Google DeepMind CEO Demis Hassabis believes there is virtually no limit to what AI can eventually achieve. "humans as biological information processing systems". He is working on the premise that the entire universe is "computable," meaning that anything that exists can technically be modeled by a machine. He says that a powerful enough computer—conceptually known as a Turing machine—should be able to simulate every aspect of reality. Until physics proves that something is impossible to calculate, he is operating on the belief that AI can solve any problem. This perspective even applies to the things that feel uniquely human. When asked about physical sensations, like feeling the warmth of a light or hearing background noise, Hassabis argued that these are just forms of information being processed by the brain. He views humans as biological information processing systems. By treating biology and reality essentially as data, he believes we will not only replicate human capabilities but also solve complex challenges, such as curing all diseases, by decoding the information of life itself.

Rohan Paul

84,528 views • 8 months ago

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.
0:39

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

a16z

366,027 views • 1 year ago

How to AGI-Proof Your Life | Nick Bostrom Today, work gives many of us purpose and meaning. But AI is making more and more of that work obsolete, until one day, AI might make redundant not just work but also much of leisure! Deep Utopia, a new book by @NickBostromPhD, is all about that day and what to do about it. In this interview, you are going to learn: 1. Where you can invest your time, effort, and resources NOW that is most AI-proof. 2. What human activities even AGI cannot replace. 3. What life will look like post-AGI. Timestamps 02:15 AI Radically Changes the Practice of Philosophy 06:08 Why Ignorance Is Set to Become a Luxury 07:45 Why AI Can’t Replace Human Relationships 11:41 How AI Changes the Labor Market 17:40 AI will make even leisure obsolete 20:35 How AI Changes the Meaning of the Good Life 21:52 The Five Pillars of Meaning post-AGI 35:22 People underestimate the importance of pleasure 42:33 The Biggest Problem in Utopia Will Be Boredom 51:01 Can Life Be Meaningful Without Stakes & Risk? 55:19 Utopia's Greatest Challenge to Human Nature 58:38 Can Simulation Save Us from Boredom? 1:03:18 The Unabomber's Prescient Intuition 1:05:44 Philosophy of AI & Theology
1:09:12

How to AGI-Proof Your Life | Nick Bostrom Today, work gives many of us purpose and meaning. But AI is making more and more of that work obsolete, until one day, AI might make redundant not just work but also much of leisure! Deep Utopia, a new book by @NickBostromPhD, is all about that day and what to do about it. In this interview, you are going to learn: 1. Where you can invest your time, effort, and resources NOW that is most AI-proof. 2. What human activities even AGI cannot replace. 3. What life will look like post-AGI. Timestamps 02:15 AI Radically Changes the Practice of Philosophy 06:08 Why Ignorance Is Set to Become a Luxury 07:45 Why AI Can’t Replace Human Relationships 11:41 How AI Changes the Labor Market 17:40 AI will make even leisure obsolete 20:35 How AI Changes the Meaning of the Good Life 21:52 The Five Pillars of Meaning post-AGI 35:22 People underestimate the importance of pleasure 42:33 The Biggest Problem in Utopia Will Be Boredom 51:01 Can Life Be Meaningful Without Stakes & Risk? 55:19 Utopia's Greatest Challenge to Human Nature 58:38 Can Simulation Save Us from Boredom? 1:03:18 The Unabomber's Prescient Intuition 1:05:44 Philosophy of AI & Theology

Johnathan Bi

18,737 views • 1 year ago

Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)
0:53

Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)

Rohan Paul

334,691 views • 11 months ago

Bret Weinstein cuts straight to the chase: "We are going to have an endless battle in which those of us who see what we believe is clear evidence of some kind of election rigging or fraud are faced with indignation from a vast array of people portraying themselves as more rigorous and careful who say, 'Where is your evidence? Where exactly is your evidence that there was something wrong with this election?' And we are gonna be caught in the following predicament. No piece of evidence is sufficient to establish that case. And the sum total of all of the evidence contains true things and false things. So it is also no good. So the question is, can you logically deduce that something has gone wrong? I believe you can easily. Can you prove it? No. And not being able to prove it means that the election will proceed. It will be validated by all of the structures, including the courts. And that means that those who take on the power that derives from these elections will be the result of whatever process we just went through, whether it was an election that happened to be anomalous through organic means, or it was the result of some kind of fraud or election rigging. That is not an accident. That is not an accident. And the point that I wanna make primarily is the primary evidence against elections that look like this being organic is not actually in the trickle of evidence that we are actually able to see, the moment by moment vote count that does something strange during the night when some large tranche of ballots is suddenly counted or something like that. The evidence is in the structure of how the elections are actually carried out. These elections are designed to allow fraud that cannot be detected and will not be prosecuted. And that's really the thing that we must focus on." Bret Weinstein
2:10

Bret Weinstein cuts straight to the chase: "We are going to have an endless battle in which those of us who see what we believe is clear evidence of some kind of election rigging or fraud are faced with indignation from a vast array of people portraying themselves as more rigorous and careful who say, 'Where is your evidence? Where exactly is your evidence that there was something wrong with this election?' And we are gonna be caught in the following predicament. No piece of evidence is sufficient to establish that case. And the sum total of all of the evidence contains true things and false things. So it is also no good. So the question is, can you logically deduce that something has gone wrong? I believe you can easily. Can you prove it? No. And not being able to prove it means that the election will proceed. It will be validated by all of the structures, including the courts. And that means that those who take on the power that derives from these elections will be the result of whatever process we just went through, whether it was an election that happened to be anomalous through organic means, or it was the result of some kind of fraud or election rigging. That is not an accident. That is not an accident. And the point that I wanna make primarily is the primary evidence against elections that look like this being organic is not actually in the trickle of evidence that we are actually able to see, the moment by moment vote count that does something strange during the night when some large tranche of ballots is suddenly counted or something like that. The evidence is in the structure of how the elections are actually carried out. These elections are designed to allow fraud that cannot be detected and will not be prosecuted. And that's really the thing that we must focus on." Bret Weinstein

The DarkHorse Podcast

697,000 views • 2 months ago

Reasonable people can disagree about the impact of AI on education, or the wisdom of implementing it in the classroom. Likewise, critics of alternatives to traditional K-12 education are justifiably concerned about the cost and scalability of microschools like Alpha, which is featured in this conversation. But no one can dispute the fact that our current system is in desperate need of an overhaul, or that something must be done to reimagine public education. Personally, I'm intrigued by the results that Alpha is getting. Yes, it's expensive, and not (yet) a practical alternative for many parents whose kids are being failed by the current model. But most good ideas are expensive in the early stage, and get a lot more affordable over time. The bigger issue here, is whether or not the 2-hour learning method is fundamentally sound? The results, so far anyway, are very encouraging. And I'm glad people like MacKenzie Price are pushing the traditional boundaries, and optimistic that AI can play a positive role in how modern education evolves. A short clip is attached. Our whole conversation is here. Learn more about Alpha Schools here:
1:39

Reasonable people can disagree about the impact of AI on education, or the wisdom of implementing it in the classroom. Likewise, critics of alternatives to traditional K-12 education are justifiably concerned about the cost and scalability of microschools like Alpha, which is featured in this conversation. But no one can dispute the fact that our current system is in desperate need of an overhaul, or that something must be done to reimagine public education. Personally, I'm intrigued by the results that Alpha is getting. Yes, it's expensive, and not (yet) a practical alternative for many parents whose kids are being failed by the current model. But most good ideas are expensive in the early stage, and get a lot more affordable over time. The bigger issue here, is whether or not the 2-hour learning method is fundamentally sound? The results, so far anyway, are very encouraging. And I'm glad people like MacKenzie Price are pushing the traditional boundaries, and optimistic that AI can play a positive role in how modern education evolves. A short clip is attached. Our whole conversation is here. Learn more about Alpha Schools here:

The Real Mike Rowe

33,456 views • 2 months ago

David Friedberg: The AI Jobs Panic Is a Crock of Sh*t Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sh*t.”
1:42

David Friedberg: The AI Jobs Panic Is a Crock of Sh*t Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sh*t.”

The All-In Podcast

152,532 views • 2 months ago

Today, we are excited to launch a new world of AI apps and agents. We’re welcoming you to AITOPIA. We’re announcing 3 big launches today: 1. A new AI App and Agent Store: With a single subscription, you can access all the best AI models, apps, and agents in one place 2. SuperAgents: Agents for creativity that can work hours: With SuperAgents, you can create a few minutes of Instagram Reels or 15 minutes of an audiobook or 40 minutes of an educational video 3. A new AI economy model: AIconomy You’ll earn from what you create with AI, or what you remix from others’ creations and you’ll keep earning when others remix what you created.
3:39

Today, we are excited to launch a new world of AI apps and agents. We’re welcoming you to AITOPIA. We’re announcing 3 big launches today: 1. A new AI App and Agent Store: With a single subscription, you can access all the best AI models, apps, and agents in one place 2. SuperAgents: Agents for creativity that can work hours: With SuperAgents, you can create a few minutes of Instagram Reels or 15 minutes of an audiobook or 40 minutes of an educational video 3. A new AI economy model: AIconomy You’ll earn from what you create with AI, or what you remix from others’ creations and you’ll keep earning when others remix what you created.

AITOPIA

197,262 views • 4 months ago

Five open questions from Naval about the future of AI: - Do the models top out, or do we go all the way to AGI? - Do 2-4 companies continue to swallow all the value? - Do we end up more consolidated than even the Mag 7, where there’s just Mag 2 or Mag 1? - Do open source and privacy have a chance, or do people always want the smartest model? - Can you train AI in a distributed way or will it centralize more and more?
2:21

Five open questions from Naval about the future of AI: - Do the models top out, or do we go all the way to AGI? - Do 2-4 companies continue to swallow all the value? - Do we end up more consolidated than even the Mag 7, where there’s just Mag 2 or Mag 1? - Do open source and privacy have a chance, or do people always want the smartest model? - Can you train AI in a distributed way or will it centralize more and more?

Naval Podcast

11,280 views • 4 months ago