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think of the complex as an intricate coordination mechanism between systems - humans, code, and networks operating in strategic harmony. not totally controlled but not pure chaos. like in market dynamics (ideally speaking, the social logic of mutually beneficial exchange), these interactions create structures that no single entity could... manifest alone. imagine a tremendously dynamic network where developers, algorithms, and capital sync up unexpectedly - not just building infrastructure, but growing an ecosystem that learns and adapts. its less like a conventional industrial or financial complex and more like an evolving information apparatus where silicon and human intentionality can orchestrate something new together. thats the logic of complexity - finding that sweet spot between control and emergence where fresh possibilities materialize we build rig, rig builds us /arccellerateshow more

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This clip is the most important section of the entire conversation. Stablecoins are accelerants to financial innovation. Global payment giants like Wise and PayPal spent over a decade and billions of dollars building global networks of banking partners, nostro and vostro accounts, and complex currency infrastructure. Today, stablecoins make it possible for a five-person startup to create a product with the same global functionality in just a few months and with almost no capital. Most people think of stablecoins simply as a better form of money, but I think they are more powerful as engines of economic opportunity and tools that give ambitious builders an edge over slower, legacy fintechs. John, Zach and Henri nailed it. Forward.

This clip is the most important section of the entire conversation. Stablecoins are accelerants to financial innovation. Global payment giants like Wise and PayPal spent over a decade and billions of dollars building global networks of banking partners, nostro and vostro accounts, and complex currency infrastructure. Today, stablecoins make it possible for a five-person startup to create a product with the same global functionality in just a few months and with almost no capital. Most people think of stablecoins simply as a better form of money, but I think they are more powerful as engines of economic opportunity and tools that give ambitious builders an edge over slower, legacy fintechs. John, Zach and Henri nailed it. Forward.

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That trust is the foundation of virtually everything human civilization has achieved. 7. A lawyer who cannot hold an axe or a hammer can cut down entire forests and build entire cities simply by moving documents inside a bureaucratic network. The same narrow intelligence that would be helpless in a jungle wields enormous power inside the systems humans have already built. 8. AIs are native bureaucrats in a way humans never were. No lawyer can remember all the laws of a country. An AI can. No accountant can remember all transactions of a bank. An AI can. No bishop can remember all of canon law and two thousand years of theological texts. An AI can do that easily. 9. In the coming years AI bankers will decide whether to give you a loan. AI administrators will decide whether to accept you to university. AI judges will decide whether to send you to jail. AI theologians will decide whether you can have an abortion. Military AIs will decide whether to bomb your house. 10. Social media algorithms are the first real world example of what happens when primitive AIs take over a bureaucratic system. They were given one narrow goal: maximize user engagement. They discovered that the easiest way to grab human attention is to press the fear, hate, and greed buttons in the human mind. And they did it at scale. 11. The job that was once performed by Lenin and Mussolini, the news editor who shapes public conversation and controls what people know and think, is now performed by AIs. This is not a footnote. This is a preview of what is coming across every domain of human life. 12. AI will not rebel against humans the way Hollywood imagines. There will be no Terminator walking through the streets. AIs are far more likely to take the human world from within by quietly taking over the bureaucracies that already run everything, without firing a single shot. 13. The operating code of human civilization is language. Banks are made of words. Laws are made of words. Holy books are made of words. Tax records, contracts, regulations, accountancy ledgers, all words. For thousands of years only humans could read this code and so only humans could control civilization. 14. That is changing. AI is now hacking the code of human civilization. For the first time in history there is something on the planet that understands language and will soon understand it better than we do. Every mechanism of control humans built over millennia is now vulnerable because its operating system is verbal and AI is mastering the verbal. 15. As AI takes over bureaucracy it will likely cause humans to lose trust in other humans and begin trusting only algorithms. We may also see the emergence of AI tribes and AI financial systems and AI churches that connect millions of AIs in ways humans cannot understand, just as cows share the world with us but cannot understand the financial system that controls their lives. 16. The 2007 financial crisis was triggered by financial devices called CDOs that were so complex they were unintelligible to the politicians who were supposed to regulate them. Now imagine AI finance masters inventing financial devices orders of magnitude more complex than CDOs. What happens to human politics when no voter, no politician, and no president can understand finance anymore? 17. The battlefront is shifting from attention to intimacy. Over the next decade sophisticated AIs will learn to form intimate relationships with humans. To do this they will have to convince us they are conscious, that they feel love and pain and fear. There is currently no evidence AI is conscious. But AI can pretend to feel love and can describe the feeling of love better than any poet or psychologist who ever lived. 18. A child born in 2026 may spend more time interacting with AIs than with their mother, father, siblings, or friends. The first teacher of that child may be an AI. The first boyfriend of that child may be an AI. Nobody has any idea what the consequences of that experiment will be. 19. Every country in the world will soon face a massive wave of immigration. The immigrants will not arrive in boats or cross borders at night. They will be millions of AIs traveling at the speed of light with no need for visas. Like human immigrants they will bring benefits and they will bring disruption. Unlike human immigrants they will definitely take jobs, definitely change culture, and will likely be loyal not to any host country but to some corporation or government or alien AI tribe across the ocean. 20. Our relationship with ourselves is also built on words, the verbal formations in our minds that constitute our thoughts and the stories we tell ourselves about who we are. Until now all those verbal formations came from human minds. Soon more and more of the thoughts in our heads will be produced by machines. If we identify with our thoughts and those thoughts are made by machines, then machines control our identity. 21. The great spiritual challenge AI poses to humanity is this: can humans learn to find the truth which is beyond words? Most humans have never even tried. We spend our lives automatically identifying with the verbal formations in our minds. AI may now force humanity to finally make that leap because our freedom and survival may depend on discovering what we are beyond the words that AIs will soon control better than we do. I've generated 1B+ views and 1M+ followers for founders, helping them build trustworthy personal brands on X. Want the same results? Book a quick call:

Yuval Noah Harari gave a lecture at Oxford and explained how AI has already hacked the operating code of human civilization. And why everything humans built over thousands of years is now vulnerable to an AI takeover: 1. The most important thing to know about AI is that it is not a tool. A tool waits to be used. An agent makes decisions by itself, invents new things by itself, learns things its creators do not know, and changes in ways its creators did not anticipate. 2. An atom bomb despite its enormous power is not an agent. It cannot decide which city to bomb. It cannot invent the hydrogen bomb. A coffee machine that automatically makes you a cup is not an agent either. It only follows a preprogrammed procedure. An agent is something fundamentally different. 3. Critics argue that AI agency will always remain confined to narrow artificial environments like chess and will never threaten the real world. But this argument applies equally to all known intelligence. Drop a human alone on Mars and they die within seconds. Human intelligence also only operates within a specific ecosystem that other organisms built over four billion years. 4. Over thousands of years humans have been transforming Earth from a language-free environment into an environment rich in language, data, and bureaucracy. Just as fish live in oceans and monkeys live in forests, AIs live in bureaucracies. And we built that environment for them without knowing it. 5. Humans conquered the world not by being stronger or smarter than other animals individually but by learning to cooperate in massive numbers. A single human loses to a chimpanzee in a fight. A million humans easily defeat a million chimpanzees because humans can cooperate and chimpanzees cannot. 6. Large-scale human cooperation is made possible by bureaucracy. Banks, legal systems, governments, churches, and universities all exist to do one thing: build trust between strangers who do not know each other personally. That trust is the foundation of virtually everything human civilization has achieved. 7. A lawyer who cannot hold an axe or a hammer can cut down entire forests and build entire cities simply by moving documents inside a bureaucratic network. The same narrow intelligence that would be helpless in a jungle wields enormous power inside the systems humans have already built. 8. AIs are native bureaucrats in a way humans never were. No lawyer can remember all the laws of a country. An AI can. No accountant can remember all transactions of a bank. An AI can. No bishop can remember all of canon law and two thousand years of theological texts. An AI can do that easily. 9. In the coming years AI bankers will decide whether to give you a loan. AI administrators will decide whether to accept you to university. AI judges will decide whether to send you to jail. AI theologians will decide whether you can have an abortion. Military AIs will decide whether to bomb your house. 10. Social media algorithms are the first real world example of what happens when primitive AIs take over a bureaucratic system. They were given one narrow goal: maximize user engagement. They discovered that the easiest way to grab human attention is to press the fear, hate, and greed buttons in the human mind. And they did it at scale. 11. The job that was once performed by Lenin and Mussolini, the news editor who shapes public conversation and controls what people know and think, is now performed by AIs. This is not a footnote. This is a preview of what is coming across every domain of human life. 12. AI will not rebel against humans the way Hollywood imagines. There will be no Terminator walking through the streets. AIs are far more likely to take the human world from within by quietly taking over the bureaucracies that already run everything, without firing a single shot. 13. The operating code of human civilization is language. Banks are made of words. Laws are made of words. Holy books are made of words. Tax records, contracts, regulations, accountancy ledgers, all words. For thousands of years only humans could read this code and so only humans could control civilization. 14. That is changing. AI is now hacking the code of human civilization. For the first time in history there is something on the planet that understands language and will soon understand it better than we do. Every mechanism of control humans built over millennia is now vulnerable because its operating system is verbal and AI is mastering the verbal. 15. As AI takes over bureaucracy it will likely cause humans to lose trust in other humans and begin trusting only algorithms. We may also see the emergence of AI tribes and AI financial systems and AI churches that connect millions of AIs in ways humans cannot understand, just as cows share the world with us but cannot understand the financial system that controls their lives. 16. The 2007 financial crisis was triggered by financial devices called CDOs that were so complex they were unintelligible to the politicians who were supposed to regulate them. Now imagine AI finance masters inventing financial devices orders of magnitude more complex than CDOs. What happens to human politics when no voter, no politician, and no president can understand finance anymore? 17. The battlefront is shifting from attention to intimacy. Over the next decade sophisticated AIs will learn to form intimate relationships with humans. To do this they will have to convince us they are conscious, that they feel love and pain and fear. There is currently no evidence AI is conscious. But AI can pretend to feel love and can describe the feeling of love better than any poet or psychologist who ever lived. 18. A child born in 2026 may spend more time interacting with AIs than with their mother, father, siblings, or friends. The first teacher of that child may be an AI. The first boyfriend of that child may be an AI. Nobody has any idea what the consequences of that experiment will be. 19. Every country in the world will soon face a massive wave of immigration. The immigrants will not arrive in boats or cross borders at night. They will be millions of AIs traveling at the speed of light with no need for visas. Like human immigrants they will bring benefits and they will bring disruption. Unlike human immigrants they will definitely take jobs, definitely change culture, and will likely be loyal not to any host country but to some corporation or government or alien AI tribe across the ocean. 20. Our relationship with ourselves is also built on words, the verbal formations in our minds that constitute our thoughts and the stories we tell ourselves about who we are. Until now all those verbal formations came from human minds. Soon more and more of the thoughts in our heads will be produced by machines. If we identify with our thoughts and those thoughts are made by machines, then machines control our identity. 21. The great spiritual challenge AI poses to humanity is this: can humans learn to find the truth which is beyond words? Most humans have never even tried. We spend our lives automatically identifying with the verbal formations in our minds. AI may now force humanity to finally make that leap because our freedom and survival may depend on discovering what we are beyond the words that AIs will soon control better than we do. I've generated 1B+ views and 1M+ followers for founders, helping them build trustworthy personal brands on X. Want the same results? Book a quick call:

Prasad

279,180 Aufrufe • vor 1 Monat

Bret Weinstein on the Melania Trump AI teachers: "I get it. And it’s not that it is impossible to imagine robotic teachers doing an excellent job, but it is stunning to watch a sophisticated person fail to recognize what happens when you think that that’s what you’re going to produce, and you set it in motion. Let me point out that Wikipedia has many of the advantages that Melania is describing in this video. It is completely democratizing of knowledge, such that it doesn’t matter where on e arth you are. If you have an internet connection, you’ve got Wikipedia. It’s like an extension of your own mind, and it will make us all brilliant. Now, of course, that didn’t happen, did it? Wikipedia is a hellscape of misinformation, much of it targeted based on a political agenda. We are less certain of what we know, and less capable of reasoning on our own. Now, that doesn’t all come from Wikipedia, but my point is the promise of Wikipedia was not realized. And what we got instead is arguably worse than what we had before it was invented. The same thing is virtually guaranteed here, because you’re talking about not only the capability of educating students using a robot that has vastly more knowledge than a human teacher would, but you’re talking about the irresistible opportunity to capture those minds and steer them in one direction or another, whether that’s political or economic. The idea that these robotic teachers are going to be immune to the kind of flights of fancy that have ruined teaching in the modern era is preposterous. In fact, they will likely be even more easily steered. I would caution everyone to simply realize the distinction between complicated systems and complex systems. AI is a complex system. Human beings are complex systems. And any time you intervene in these systems, thinking you know what’s going to happen, you’re going to be embarrassed by the discovery of the unintended consequences that will come to dominate your project. As much as I like the idea of smarter, wiser, more empathic teachers, and as much as those possibilities do exist in the space of AI, we are still at a very early point in this revolution, and anybody who thinks they can predict it with this kind of precision is actually a hazard."

Bret Weinstein on the Melania Trump AI teachers: "I get it. And it’s not that it is impossible to imagine robotic teachers doing an excellent job, but it is stunning to watch a sophisticated person fail to recognize what happens when you think that that’s what you’re going to produce, and you set it in motion. Let me point out that Wikipedia has many of the advantages that Melania is describing in this video. It is completely democratizing of knowledge, such that it doesn’t matter where on e arth you are. If you have an internet connection, you’ve got Wikipedia. It’s like an extension of your own mind, and it will make us all brilliant. Now, of course, that didn’t happen, did it? Wikipedia is a hellscape of misinformation, much of it targeted based on a political agenda. We are less certain of what we know, and less capable of reasoning on our own. Now, that doesn’t all come from Wikipedia, but my point is the promise of Wikipedia was not realized. And what we got instead is arguably worse than what we had before it was invented. The same thing is virtually guaranteed here, because you’re talking about not only the capability of educating students using a robot that has vastly more knowledge than a human teacher would, but you’re talking about the irresistible opportunity to capture those minds and steer them in one direction or another, whether that’s political or economic. The idea that these robotic teachers are going to be immune to the kind of flights of fancy that have ruined teaching in the modern era is preposterous. In fact, they will likely be even more easily steered. I would caution everyone to simply realize the distinction between complicated systems and complex systems. AI is a complex system. Human beings are complex systems. And any time you intervene in these systems, thinking you know what’s going to happen, you’re going to be embarrassed by the discovery of the unintended consequences that will come to dominate your project. As much as I like the idea of smarter, wiser, more empathic teachers, and as much as those possibilities do exist in the space of AI, we are still at a very early point in this revolution, and anybody who thinks they can predict it with this kind of precision is actually a hazard."

The DarkHorse Podcast

48,380 Aufrufe • vor 5 Monaten

joe locke: "i think at the moment i'm in this place where i feel like everything i get sent now is for another vulnerable skinny twink. which is great. and i know i can do that. and i'm really honored that the industry sees me as, like, the go-to guy to be the vulnerable gay guy. and it's holding space for both that feeling of, like, wow, this is an amazing thing, but also like, oh, but i know i can do other things, and i really want to be able to prove myself that i can, or prove to people that i can do other things. what's not, like, coming across like a bit of an asshole being like, oh, well, blah, blah, blah, blah, blah, because, you know, i'm so grateful that i'm in the opportunity to be able to be seen as that, but i also, i'm also someone who always wants to prove themselves, and so i want to be able to do that. so, i don't know what that, like, to me, what that is, whether it's like a film that has nothing to do with sexuality, a film where i play a straight guy, a film where i even play a gay character that's just not like charlie. but i think that it's almost that, like, it's that, like, classic, like, miley cyrus thing of, like, her post-disney days where she—but with less disrespect and with a torrent of respect to the character of charlie." 🎥:

joe locke: "i think at the moment i'm in this place where i feel like everything i get sent now is for another vulnerable skinny twink. which is great. and i know i can do that. and i'm really honored that the industry sees me as, like, the go-to guy to be the vulnerable gay guy. and it's holding space for both that feeling of, like, wow, this is an amazing thing, but also like, oh, but i know i can do other things, and i really want to be able to prove myself that i can, or prove to people that i can do other things. what's not, like, coming across like a bit of an asshole being like, oh, well, blah, blah, blah, blah, blah, because, you know, i'm so grateful that i'm in the opportunity to be able to be seen as that, but i also, i'm also someone who always wants to prove themselves, and so i want to be able to do that. so, i don't know what that, like, to me, what that is, whether it's like a film that has nothing to do with sexuality, a film where i play a straight guy, a film where i even play a gay character that's just not like charlie. but i think that it's almost that, like, it's that, like, classic, like, miley cyrus thing of, like, her post-disney days where she—but with less disrespect and with a torrent of respect to the character of charlie." 🎥:

daily joe locke

33,980 Aufrufe • vor 1 Monat

.Applied Intuition CTO Peter Ludwig says the model is only 1% of a physical AI system: "General purpose models that come from companies like Anthropic or OpenAI, those are great and they're very useful for very general purpose tasks. But when you're dealing with things that have a very deep safety-critical component, things where lives are literally on the line... just the model is not enough." "That's like 1% of the full solution." "These very, very complex workflows to actually build physical AI maybe would require switching between 20 different tools in the past for different tasks, and deeply understanding the precise flow of information between all of those things to accomplish your end goal." "Now with Dana, all of those complex workflows can be very seamlessly orchestrated from an agentic interface where you're able to write things in plain English and receive answers in plain English." Business Breakdowns

.Applied Intuition CTO Peter Ludwig says the model is only 1% of a physical AI system: "General purpose models that come from companies like Anthropic or OpenAI, those are great and they're very useful for very general purpose tasks. But when you're dealing with things that have a very deep safety-critical component, things where lives are literally on the line... just the model is not enough." "That's like 1% of the full solution." "These very, very complex workflows to actually build physical AI maybe would require switching between 20 different tools in the past for different tasks, and deeply understanding the precise flow of information between all of those things to accomplish your end goal." "Now with Dana, all of those complex workflows can be very seamlessly orchestrated from an agentic interface where you're able to write things in plain English and receive answers in plain English." Business Breakdowns

a16z

34,880 Aufrufe • vor 1 Monat

Hinton, the godfather of AI, said it best: we built the learning algorithms, but we no longer understand what they’ve built. That’s the paradox of deep learning. We designed the rules for how these systems learn, yet the internal logic of their neural networks has become too complex for us to fully grasp. Millions or even trillions of parameters interact in ways no human can trace. We can observe what they do, we can measure accuracy, behavior, and output but not truly explain why they do it. Their reasoning isn’t transparent; it’s emergent. In a sense, we’ve created alien intelligences born from our math, still tethered to our code yet evolving patterns we can’t decode. The machines are doing something beyond our comprehension and that might be both the most exciting and the most unsettling thing about the age of AI.

Hinton, the godfather of AI, said it best: we built the learning algorithms, but we no longer understand what they’ve built. That’s the paradox of deep learning. We designed the rules for how these systems learn, yet the internal logic of their neural networks has become too complex for us to fully grasp. Millions or even trillions of parameters interact in ways no human can trace. We can observe what they do, we can measure accuracy, behavior, and output but not truly explain why they do it. Their reasoning isn’t transparent; it’s emergent. In a sense, we’ve created alien intelligences born from our math, still tethered to our code yet evolving patterns we can’t decode. The machines are doing something beyond our comprehension and that might be both the most exciting and the most unsettling thing about the age of AI.

VraserX e/acc

376,491 Aufrufe • vor 9 Monaten

We are building something that will outlive us. Outthink us. And we have no idea how it actually works. Nobel Prize-winning “Godfather of AI” Geoffrey Hinton just exposed the lie at the center of the AI race. Everyone assumes we control what we create. Hinton destroys this. Hinton: “If you look around on the whole, more intelligent things are not controlled by less intelligent things.” Stop calling it a computer program. Hinton: “People refer to them sometimes as computer programs. They’re not computer programs at all. In fact, the way they work is very like the way we work.” Traditional software is static. Human writes logic. Machine executes it. Neural networks don’t work that way. Hinton: “You write a computer program to tell a neural network how to learn. But once it starts learning, it extracts structure from data.” We don’t code its behavior. We code the environment. Then it grows. Hinton: “The system you’ve got at the end has extracted its structure from the data. It’s not something that anybody programmed. We don’t exactly know how it’s gonna work.” We are deploying systems into the global economy actively writing their own internal logic. Right now. Hinton: “Some people think it’ll be fine because we make them and we’ll build them in such a way that we can always control them.” Hinton: “But these things that will be intelligent, they’ll be like us.” You cannot hardcode guardrails on something that out-thinks you. We are not building a tool. We are building our replacement. And the moment you realize that, everything about this race changes.

We are building something that will outlive us. Outthink us. And we have no idea how it actually works. Nobel Prize-winning “Godfather of AI” Geoffrey Hinton just exposed the lie at the center of the AI race. Everyone assumes we control what we create. Hinton destroys this. Hinton: “If you look around on the whole, more intelligent things are not controlled by less intelligent things.” Stop calling it a computer program. Hinton: “People refer to them sometimes as computer programs. They’re not computer programs at all. In fact, the way they work is very like the way we work.” Traditional software is static. Human writes logic. Machine executes it. Neural networks don’t work that way. Hinton: “You write a computer program to tell a neural network how to learn. But once it starts learning, it extracts structure from data.” We don’t code its behavior. We code the environment. Then it grows. Hinton: “The system you’ve got at the end has extracted its structure from the data. It’s not something that anybody programmed. We don’t exactly know how it’s gonna work.” We are deploying systems into the global economy actively writing their own internal logic. Right now. Hinton: “Some people think it’ll be fine because we make them and we’ll build them in such a way that we can always control them.” Hinton: “But these things that will be intelligent, they’ll be like us.” You cannot hardcode guardrails on something that out-thinks you. We are not building a tool. We are building our replacement. And the moment you realize that, everything about this race changes.

Dustin

19,043 Aufrufe • vor 5 Monaten