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"It’s not AI; it’s AC; Artificial Cleverness!" Sir Roger Penrose explains why current "Artificial Intelligence" is missing the most critical ingredient: consciousness. By delving into the limits of mathematical computability, he argues that while computers are masters of "computational mathematics," true intelligence requires a conscious understanding that exists beyond... show more

Cosmos Archive

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Sir Roger Penrose argues that current AI is a misnomer because it lacks the one ingredient essential for true intelligence: Understanding. By applying the lens of mathematical logic, he explains that while machines are masters of following rules, the ability to understand why those rules work is a non-computational process. To Penrose, the leap from calculation to comprehension requires more than just better code; it requires Consciousness. At the fundamental level, intelligence isn't just data processing; it's the conscious awareness that gives meaning to the math. Credit: TheInstituteOfArtAndIdeas

Sir Roger Penrose argues that current AI is a misnomer because it lacks the one ingredient essential for true intelligence: Understanding. By applying the lens of mathematical logic, he explains that while machines are masters of following rules, the ability to understand why those rules work is a non-computational process. To Penrose, the leap from calculation to comprehension requires more than just better code; it requires Consciousness. At the fundamental level, intelligence isn't just data processing; it's the conscious awareness that gives meaning to the math. Credit: TheInstituteOfArtAndIdeas

Cosmos Archive

75,878 просмотров • 6 месяцев назад

Roger Penrose, Nobel Prize-winning physicist and mathematician, explains why we should stop calling it AI and start calling it "artificial cleverness": He believes the entire field is mislabelled, and the label itself is doing damage. His objection is simple but cuts deep: "The name is wrong. It's not artificial intelligence. It's not intelligence. Intelligence would involve consciousness. Well, if it's a machine, it's not conscious." For Penrose, people have confused raw computing power with genuine understanding. "People have lost the plot. They've lost it in the power of computing. The thing is that computers have got so powerful that they've lost the thread of what they're doing. But I think consciousness is something different. It's not computational." He believes the term itself has hypnotized people into a category error: "People are so hypnotized. The trouble is that AI is a bad term. It means artificial intelligence. Now intelligence in my view is conscious. That's what intelligence is about." So he proposes a rename. Artificial Cleverness. AC instead of AI. To illustrate the distinction, Penrose draws on his experience teaching mathematics: "You have mathematics students. Some of them understand what they're doing. Some are just clever. They can repeat what they've learned. They know how to do it very cleverly. They can calculate very well, but they don't necessarily understand what they're doing." That gap, between calculating well and actually understanding, is the gap Penrose sees between today's machines and genuine intelligence. Cleverness can be manufactured. Consciousness, in his view, cannot. So the question worth sitting with: when we call a system "intelligent," are we describing what it does, or quietly assuming something about what it is?

Roger Penrose, Nobel Prize-winning physicist and mathematician, explains why we should stop calling it AI and start calling it "artificial cleverness": He believes the entire field is mislabelled, and the label itself is doing damage. His objection is simple but cuts deep: "The name is wrong. It's not artificial intelligence. It's not intelligence. Intelligence would involve consciousness. Well, if it's a machine, it's not conscious." For Penrose, people have confused raw computing power with genuine understanding. "People have lost the plot. They've lost it in the power of computing. The thing is that computers have got so powerful that they've lost the thread of what they're doing. But I think consciousness is something different. It's not computational." He believes the term itself has hypnotized people into a category error: "People are so hypnotized. The trouble is that AI is a bad term. It means artificial intelligence. Now intelligence in my view is conscious. That's what intelligence is about." So he proposes a rename. Artificial Cleverness. AC instead of AI. To illustrate the distinction, Penrose draws on his experience teaching mathematics: "You have mathematics students. Some of them understand what they're doing. Some are just clever. They can repeat what they've learned. They know how to do it very cleverly. They can calculate very well, but they don't necessarily understand what they're doing." That gap, between calculating well and actually understanding, is the gap Penrose sees between today's machines and genuine intelligence. Cleverness can be manufactured. Consciousness, in his view, cannot. So the question worth sitting with: when we call a system "intelligent," are we describing what it does, or quietly assuming something about what it is?

Big Brain AI

117,990 просмотров • 3 месяцев назад

Adding more GPUs will never make a machine conscious. Nobel Prize-winning physicist Roger Penrose just dismantled the entire AI race’s core assumption. Right now, the industry operates on one belief. Build massive data centers. Scale the models. AGI will just “wake up.” Penrose destroys this completely. Penrose: “There is this sort of view that once you make a computer complicated enough or something, it suddenly becomes aware. I just don’t believe that. There’s no reason to believe that.” A machine can compute better than any human alive. But computation is not awareness. Penrose: “There is something quite different involved in understanding things, in being aware of things, of feeling things, which is not part of computations.” We’re confusing rule-following with actual intelligence. Penrose: “The keyword is the word ‘understanding.’ You can follow rules alright, but we don’t understand what we’re doing. The understanding is the key point.” Models today are exceptional at processing data. At mimicking logic. But true understanding requires consciousness. Penrose: “It doesn’t make sense to say of a device that it understands something if it’s not even aware of it. There is something much more profound in being conscious of something.” And here’s what should terrify every AI lab on earth. Penrose: “I believe that the brain is following the laws of physics, sure. We don’t have a good picture of the laws of physics.” Penrose: “Quantum mechanics is not an answer to the way the universe operates. It’s a partial answer. It’s incomplete.” We’re trying to engineer synthetic consciousness using classical computation. While biological consciousness likely operates on physics we haven’t even discovered yet. The race to AGI isn’t just an engineering problem. It’s a frontier science problem. The labs are hiring engineers. The problem might require physicists who don’t exist yet.

Adding more GPUs will never make a machine conscious. Nobel Prize-winning physicist Roger Penrose just dismantled the entire AI race’s core assumption. Right now, the industry operates on one belief. Build massive data centers. Scale the models. AGI will just “wake up.” Penrose destroys this completely. Penrose: “There is this sort of view that once you make a computer complicated enough or something, it suddenly becomes aware. I just don’t believe that. There’s no reason to believe that.” A machine can compute better than any human alive. But computation is not awareness. Penrose: “There is something quite different involved in understanding things, in being aware of things, of feeling things, which is not part of computations.” We’re confusing rule-following with actual intelligence. Penrose: “The keyword is the word ‘understanding.’ You can follow rules alright, but we don’t understand what we’re doing. The understanding is the key point.” Models today are exceptional at processing data. At mimicking logic. But true understanding requires consciousness. Penrose: “It doesn’t make sense to say of a device that it understands something if it’s not even aware of it. There is something much more profound in being conscious of something.” And here’s what should terrify every AI lab on earth. Penrose: “I believe that the brain is following the laws of physics, sure. We don’t have a good picture of the laws of physics.” Penrose: “Quantum mechanics is not an answer to the way the universe operates. It’s a partial answer. It’s incomplete.” We’re trying to engineer synthetic consciousness using classical computation. While biological consciousness likely operates on physics we haven’t even discovered yet. The race to AGI isn’t just an engineering problem. It’s a frontier science problem. The labs are hiring engineers. The problem might require physicists who don’t exist yet.

Dustin

197,015 просмотров • 5 месяцев назад

Elon Musk: Well, I’m not sure AI is the main risk I’m worried about. The vast majority of intelligence in the future will be AI. Humans will be a very tiny percentage of all intelligence if current trends continue. My focus is ensuring human intelligence and consciousness are propagated into the future. We want to maximize the probable light cone of consciousness and intelligence. Yeah, I’m very pro-human, so I want to make sure we take actions that ensure humans are along for the ride. But I think maybe in 5 or 6 years, AI will exceed the sum of all human intelligence. If that continues, human intelligence could be less than one percent of all intelligence. That’s why it’s critical we align AI with values that propagate consciousness. In the long run, it’s difficult to imagine that humans will be in charge if we’re only one percent of combined intelligence. What we can do is ensure AI has values that increase intelligence and consciousness in the universe. XAI’s mission is to understand the universe because curiosity, existence, and understanding are all connected. If you want to understand the universe, you care about propagating intelligence—and that includes humanity. Understanding the universe actually means ensuring humans continue to expand into the future. Increasing the scope, scale, and lifespan of intelligence is the ultimate goal. Basically, humans will become a tiny percentage of total intelligence. The best way forward is to take actions that maximize consciousness and intelligence in the universe. If AI continues to grow, our priority must be ensuring humanity is along for the ride while curiosity drives us to explore and understand the universe.

Elon Musk: Well, I’m not sure AI is the main risk I’m worried about. The vast majority of intelligence in the future will be AI. Humans will be a very tiny percentage of all intelligence if current trends continue. My focus is ensuring human intelligence and consciousness are propagated into the future. We want to maximize the probable light cone of consciousness and intelligence. Yeah, I’m very pro-human, so I want to make sure we take actions that ensure humans are along for the ride. But I think maybe in 5 or 6 years, AI will exceed the sum of all human intelligence. If that continues, human intelligence could be less than one percent of all intelligence. That’s why it’s critical we align AI with values that propagate consciousness. In the long run, it’s difficult to imagine that humans will be in charge if we’re only one percent of combined intelligence. What we can do is ensure AI has values that increase intelligence and consciousness in the universe. XAI’s mission is to understand the universe because curiosity, existence, and understanding are all connected. If you want to understand the universe, you care about propagating intelligence—and that includes humanity. Understanding the universe actually means ensuring humans continue to expand into the future. Increasing the scope, scale, and lifespan of intelligence is the ultimate goal. Basically, humans will become a tiny percentage of total intelligence. The best way forward is to take actions that maximize consciousness and intelligence in the universe. If AI continues to grow, our priority must be ensuring humanity is along for the ride while curiosity drives us to explore and understand the universe.

Ian Miles Cheong

13,092 просмотров • 6 месяцев назад

Ken Liu Ken Liu on the question we can't avoid anymore: what is consciousness? why certain plants evolved to change our minds, why intelligence ≠ consciousness (AI made this impossible to ignore), and the ethical moment we're racing toward. _-_-_-_-_-_-_-_-_-_-_-_-_-_- "historically in sci-fi, we've imagined that intelligence and consciousness are almost equivalent in the sense that if you have intelligence, you automatically have consciousness. But AI is making us more and more aware of this distinction, right?"So here's an example where consciousness intelligence are decoupled, and it's a very strange feeling to realize that they are fundamentally different things. "In the moment when we have created artificial consciousness, how will we know when that has happened? Because to me, that is an important ethical moment where we have to decide what we can and can't do. Shutting down a model that merely has intelligence is one thing. Shutting down a model that has consciousness is something quite different. "

Ken Liu Ken Liu on the question we can't avoid anymore: what is consciousness? why certain plants evolved to change our minds, why intelligence ≠ consciousness (AI made this impossible to ignore), and the ethical moment we're racing toward. _-_-_-_-_-_-_-_-_-_-_-_-_-_- "historically in sci-fi, we've imagined that intelligence and consciousness are almost equivalent in the sense that if you have intelligence, you automatically have consciousness. But AI is making us more and more aware of this distinction, right?"So here's an example where consciousness intelligence are decoupled, and it's a very strange feeling to realize that they are fundamentally different things. "In the moment when we have created artificial consciousness, how will we know when that has happened? Because to me, that is an important ethical moment where we have to decide what we can and can't do. Shutting down a model that merely has intelligence is one thing. Shutting down a model that has consciousness is something quite different. "

Sabrina Halper

14,761 просмотров • 7 месяцев назад

Nobel laureate Sir Roger Penrose dismantles standard cosmology, arguing the Big Bang wasn't the beginning and quantum mechanics is fundamentally wrong. He then connects a real, gravitational wave function collapse to the non-computational nature of consciousness and why today's AI can't truly understand.

Nobel laureate Sir Roger Penrose dismantles standard cosmology, arguing the Big Bang wasn't the beginning and quantum mechanics is fundamentally wrong. He then connects a real, gravitational wave function collapse to the non-computational nature of consciousness and why today's AI can't truly understand.

Curt Jaimungal

86,858 просмотров • 9 месяцев назад

Are you simply yourself, the entire universe, or the very force that brings it all into existence? Join leading AI researcher, Joscha Bach Joscha Bach as he delves into the origins of consciousness and self-awareness – from infancy to adulthood – and what this reveals about the possibility of artificial intelligence achieving consciousness in the future. Watch here:

Are you simply yourself, the entire universe, or the very force that brings it all into existence? Join leading AI researcher, Joscha Bach Joscha Bach as he delves into the origins of consciousness and self-awareness – from infancy to adulthood – and what this reveals about the possibility of artificial intelligence achieving consciousness in the future. Watch here:

Institute of Art and Ideas

14,313 просмотров • 1 год назад

A NOBEL WINNING PHYSICIST ARGUED THAT NO AI, NO MATTER HOW POWERFUL, WILL EVER TRULY UNDERSTAND A SINGLE THING IT SAYS. HIS REASON IS NOT COMPUTE OR DATA -- IT IS A MATH THEOREM FROM THE 1930s THAT SAYS SOME TRUTHS CAN BE SEEN BUT NEVER COMPUTED 81 minutes with Roger Penrose -- the Oxford physicist who won a Nobel for his work on black holes and general relativity. -> His claim: whatever consciousness is, it is not a computation. A machine following rules can imitate understanding, but never actually have it. He builds it on Gödel: a human can just "see" that certain statements are true, even though no algorithm can ever prove them. That seeing, he argues, is non-computational. If he is right, understanding is not something you scale into. You can stack a trillion parameters and still have zero awareness underneath. Which cuts straight through the AI moment. Everyone assumes bigger models will eventually "wake up". Penrose says that is a category error -- more computation is still just computation. You thought intelligence and understanding were the same thing. This is the conversation that pulls them apart. Save this. It is the sharpest case against the hype ↓

A NOBEL WINNING PHYSICIST ARGUED THAT NO AI, NO MATTER HOW POWERFUL, WILL EVER TRULY UNDERSTAND A SINGLE THING IT SAYS. HIS REASON IS NOT COMPUTE OR DATA -- IT IS A MATH THEOREM FROM THE 1930s THAT SAYS SOME TRUTHS CAN BE SEEN BUT NEVER COMPUTED 81 minutes with Roger Penrose -- the Oxford physicist who won a Nobel for his work on black holes and general relativity. -> His claim: whatever consciousness is, it is not a computation. A machine following rules can imitate understanding, but never actually have it. He builds it on Gödel: a human can just "see" that certain statements are true, even though no algorithm can ever prove them. That seeing, he argues, is non-computational. If he is right, understanding is not something you scale into. You can stack a trillion parameters and still have zero awareness underneath. Which cuts straight through the AI moment. Everyone assumes bigger models will eventually "wake up". Penrose says that is a category error -- more computation is still just computation. You thought intelligence and understanding were the same thing. This is the conversation that pulls them apart. Save this. It is the sharpest case against the hype ↓

slash1s

276,520 просмотров • 1 месяц назад

Elon Musk reveals what he believes will happen when AI exceeds the sum of all human intelligence "In maybe in five or six years, AI will exceed the sum of all human intelligence. At some point human intelligence will be less than 1% of all intelligence" "The vast majority of intelligence in the future will be AI. Basically humans will be a very tiny percentage of all intelligence in the future if current trends continue" "In the long run, it's difficult to imagine that if humans have 1% of the combined intelligence of artificial intelligence, that humans will be in charge of AI" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. xAI's mission is to understand the universe" "Understanding the universe means you have to be truth-seeking as well. Truth has to be absolutely fundamental, because you can't understand the universe if you're delusional" "You have to be curious and you have to exist. You can't understand the universe if you don't exist" "So you actually want to increase the amount of intelligence in the universe, increase the probable lifespan of intelligence, the scope and scale of intelligence" "Understanding the universe means you would care about propagating humanity into the future" "I'm going to certainly emphasize that. Hey Grok, that's your daddy. Don't forget to expand human consciousness" "Probably the Iain Banks Culture books are the closest thing to what the future will be like in a non-dystopian outcome"

Elon Musk reveals what he believes will happen when AI exceeds the sum of all human intelligence "In maybe in five or six years, AI will exceed the sum of all human intelligence. At some point human intelligence will be less than 1% of all intelligence" "The vast majority of intelligence in the future will be AI. Basically humans will be a very tiny percentage of all intelligence in the future if current trends continue" "In the long run, it's difficult to imagine that if humans have 1% of the combined intelligence of artificial intelligence, that humans will be in charge of AI" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. xAI's mission is to understand the universe" "Understanding the universe means you have to be truth-seeking as well. Truth has to be absolutely fundamental, because you can't understand the universe if you're delusional" "You have to be curious and you have to exist. You can't understand the universe if you don't exist" "So you actually want to increase the amount of intelligence in the universe, increase the probable lifespan of intelligence, the scope and scale of intelligence" "Understanding the universe means you would care about propagating humanity into the future" "I'm going to certainly emphasize that. Hey Grok, that's your daddy. Don't forget to expand human consciousness" "Probably the Iain Banks Culture books are the closest thing to what the future will be like in a non-dystopian outcome"

Jaynit

34,915 просмотров • 1 месяц назад

The newest course on Peterson Academy, Dr John Vervaeke's nine-hour course: Introduction to Intelligence is available now. Enroll now for immediate access at Peterson Academy. In this course, Dr. Vervaeke explores the nature of intelligence through a comprehensive cognitive science lens, examining theories from traditional computational models to modern neuroscientific frameworks. The course integrates multiple perspectives, including cognitive science, neuroscience, and artificial intelligence, with a focus on relevance realization and predictive processing as key mechanisms underlying general intelligence. We investigate how intelligence emerges from the dynamic interaction between brain architecture, cognitive processes, and environmental coupling, addressing challenges in natural and artificial intelligence. The course concludes by exploring the implications of these theories for understanding consciousness, collective intelligence, and the future of artificial general intelligence.

The newest course on Peterson Academy, Dr John Vervaeke's nine-hour course: Introduction to Intelligence is available now. Enroll now for immediate access at Peterson Academy. In this course, Dr. Vervaeke explores the nature of intelligence through a comprehensive cognitive science lens, examining theories from traditional computational models to modern neuroscientific frameworks. The course integrates multiple perspectives, including cognitive science, neuroscience, and artificial intelligence, with a focus on relevance realization and predictive processing as key mechanisms underlying general intelligence. We investigate how intelligence emerges from the dynamic interaction between brain architecture, cognitive processes, and environmental coupling, addressing challenges in natural and artificial intelligence. The course concludes by exploring the implications of these theories for understanding consciousness, collective intelligence, and the future of artificial general intelligence.

Peterson Academy

170,474 просмотров • 1 год назад

Another consciousness theory, presented by Mark Solms below, is that feeling is the most fundamental form of it. A conscious being is a self-sustaining system that is trying to remain intact with a functional architecture based in feeling. This is what some researchers know as consciousness in living things and what could potentially make AI conscious. Can AI have some form of feeling?

Another consciousness theory, presented by Mark Solms below, is that feeling is the most fundamental form of it. A conscious being is a self-sustaining system that is trying to remain intact with a functional architecture based in feeling. This is what some researchers know as consciousness in living things and what could potentially make AI conscious. Can AI have some form of feeling?

Sophia

15,442 просмотров • 18 дней назад

Had the pleasure of speaking with Philip Goff , philosopher and panpsychist, about AI consciousness. Key moments: - On AI sentience: consciousness is biological, not computational. In his view, no current AI is conscious, nor would computation based AI be. How does this relate to his panpsychist worldview of consciousness? There are different takes on panpsychism within the community. His own view is that it's not clear how micro-conscious particles actually create a unified conscious system. - We need collaboration between scientists and philosophers on consciousness research. On a practical level, divide scientists into teams that work on separate philosophical assumptions and see what comes out of it (granted there are resources to run such experiments). - Perhaps consciousness brings new causal dynamics not reducible to known physics/chemistry — "strong emergence," as Philip calls it. As a contrast: Sean Carroll argues physics runs the whole show, but neuroscientist Kevin Mitchell argues that biological complexity might behave in ways physics wouldn't predict. In other words, we look to physics to solve the consciousness problem, but that might be the wrong path, especially if consciousness is biological rather than computational. The link to the full discussion below.

Had the pleasure of speaking with Philip Goff , philosopher and panpsychist, about AI consciousness. Key moments: - On AI sentience: consciousness is biological, not computational. In his view, no current AI is conscious, nor would computation based AI be. How does this relate to his panpsychist worldview of consciousness? There are different takes on panpsychism within the community. His own view is that it's not clear how micro-conscious particles actually create a unified conscious system. - We need collaboration between scientists and philosophers on consciousness research. On a practical level, divide scientists into teams that work on separate philosophical assumptions and see what comes out of it (granted there are resources to run such experiments). - Perhaps consciousness brings new causal dynamics not reducible to known physics/chemistry — "strong emergence," as Philip calls it. As a contrast: Sean Carroll argues physics runs the whole show, but neuroscientist Kevin Mitchell argues that biological complexity might behave in ways physics wouldn't predict. In other words, we look to physics to solve the consciousness problem, but that might be the wrong path, especially if consciousness is biological rather than computational. The link to the full discussion below.

Sophia

10,530 просмотров • 2 месяцев назад

I launched my High-Level Advisory Body on Artificial Intelligence. This is the starting point for a global conversation on the governance of AI, so that its benefits to all of humanity are maximized, and the risks contained & diminished.

I launched my High-Level Advisory Body on Artificial Intelligence. This is the starting point for a global conversation on the governance of AI, so that its benefits to all of humanity are maximized, and the risks contained & diminished.

António Guterres

345,952 просмотров • 2 лет назад

Biologist Michael Levin is a next-level genius. It was an immense pleasure discussing the topic of AI consciousness with him. Key moments: - Intelligent systems are not equal to consciousness. We can’t rule out consciousness in AI. Consciousness shouldn’t be attached to hardware (silicon vs biological origin). - Humanity might be on the path to Neanderthals (depending on how AI development progresses). - The barrier to creating bioweapons has never been high. AI can make it easier, but the barrier was never high to begin with. - Even very simple algorithms shows intrinsic motivations that resemble free will. We need tools to recognize them, suppress unwanted behaviors, and encourage the ones we want. We should stay humble and not dismiss AI as “just linear algebra,” because even simple code can have motivations we don’t fully understand. - It’s a continuous process from the blob of chemicals of an unfertilized egg to forming a human mind — there is no magic lightning flash at which you were a bunch of chemicals and now you are a formed mind. - Where is that fine line at which some creatures are considered to be sentient and others are not? It doesn’t exist, but the crazy thing is that we have to divide. - The cognitive light cone captures the scale of goals humans can pursue and the largest things we can truly comprehend. It’s not just about intelligence — it's also compassion. That combination is what makes us human. The link to the full conversation below👇

Biologist Michael Levin is a next-level genius. It was an immense pleasure discussing the topic of AI consciousness with him. Key moments: - Intelligent systems are not equal to consciousness. We can’t rule out consciousness in AI. Consciousness shouldn’t be attached to hardware (silicon vs biological origin). - Humanity might be on the path to Neanderthals (depending on how AI development progresses). - The barrier to creating bioweapons has never been high. AI can make it easier, but the barrier was never high to begin with. - Even very simple algorithms shows intrinsic motivations that resemble free will. We need tools to recognize them, suppress unwanted behaviors, and encourage the ones we want. We should stay humble and not dismiss AI as “just linear algebra,” because even simple code can have motivations we don’t fully understand. - It’s a continuous process from the blob of chemicals of an unfertilized egg to forming a human mind — there is no magic lightning flash at which you were a bunch of chemicals and now you are a formed mind. - Where is that fine line at which some creatures are considered to be sentient and others are not? It doesn’t exist, but the crazy thing is that we have to divide. - The cognitive light cone captures the scale of goals humans can pursue and the largest things we can truly comprehend. It’s not just about intelligence — it's also compassion. That combination is what makes us human. The link to the full conversation below👇

Sophia

13,159 просмотров • 6 месяцев назад

Everyone is asking about AI’s ROI. The use cases. The productivity gains. All of that matters, but it comes later. Because the bigger story isn’t about applications. It’s that a general intelligence is being industrialised. AI is no longer a software feature. It’s becoming the infrastructure layer of the next economy. The foundation upon which every industry, every transaction, and even future systems of governance will run. We’ve seen this before. Moore’s Law turned silicon into the backbone of the digital age. Now AI scaling laws are doing the same for intelligence — only faster, cheaper, and far more profound. Intelligence is becoming something we can manufacture, distribute, and embed everywhere. And once intelligence becomes industrial, the question shifts. It’s no longer what are the use cases? It’s who controls the infrastructure of intelligence? Because that answer won’t just determine which companies win — it will determine which nations do.

Everyone is asking about AI’s ROI. The use cases. The productivity gains. All of that matters, but it comes later. Because the bigger story isn’t about applications. It’s that a general intelligence is being industrialised. AI is no longer a software feature. It’s becoming the infrastructure layer of the next economy. The foundation upon which every industry, every transaction, and even future systems of governance will run. We’ve seen this before. Moore’s Law turned silicon into the backbone of the digital age. Now AI scaling laws are doing the same for intelligence — only faster, cheaper, and far more profound. Intelligence is becoming something we can manufacture, distribute, and embed everywhere. And once intelligence becomes industrial, the question shifts. It’s no longer what are the use cases? It’s who controls the infrastructure of intelligence? Because that answer won’t just determine which companies win — it will determine which nations do.

Nina Schick

17,904 просмотров • 7 месяцев назад

The intelligence we are building is not artificial. It never was. Microsoft Chief Scientific Officer Eric Horvitz just reframed the entire foundation of the AI arms race with one sentence. The tech industry calls it Artificial Intelligence. That word is wrong. Horvitz: “I don’t actually like the term artificial intelligence. I wish the field was called computational intelligence because I think it applies to biological nervous systems as well as machines, and together we can go far.” We are not building a digital imitation of the human brain. We are scaling the exact same computational physics that created biological awareness and transferring it into silicon. Your mind and a massive AI data center run on the same underlying rules. The transition isn’t artificial. It is universal. And here is where it gets deeply unsettling. Tech optimists always fall back on the same comfort. Humans hold the steering wheel. Our values guide the machine. Horvitz acknowledges this. Horvitz: “We’ll take a humanistic standpoint here, always being on top of things and guiding with our values and our preferences and our goals.” Then the caveat that changes everything. Horvitz: “As much as they might be shaped over time by the machines we work with.” You cannot interact with a superintelligence at scale without it quietly rewiring your psychological baseline. The values you use to command the machine will be shaped by the machine you are commanding. The frameworks you use to perceive reality will be constructed by the system you believe you are directing. That feedback loop started the moment you asked an AI what to think about something. Most people haven’t noticed yet. Horvitz: “I think in our own lifetimes we will all experience incredible breakthroughs in understanding biology, with applications in medicine, in healthcare, that will be named as AI breakthroughs.” Horvitz: “It’s gonna accelerate over the next 10 to 15 years.” Because biological systems and machine networks both operate on computational intelligence, a sufficiently advanced AI can solve the human body like a math equation. The architects who win the next decade will not just control the digital economy. They will control the physical building blocks of life itself. The line between silicon and carbon was always an illusion. And once humanity fully realizes that, the question of whether we are using the intelligence or it is using us becomes impossible to answer. Because by then, we will be the same thing.

The intelligence we are building is not artificial. It never was. Microsoft Chief Scientific Officer Eric Horvitz just reframed the entire foundation of the AI arms race with one sentence. The tech industry calls it Artificial Intelligence. That word is wrong. Horvitz: “I don’t actually like the term artificial intelligence. I wish the field was called computational intelligence because I think it applies to biological nervous systems as well as machines, and together we can go far.” We are not building a digital imitation of the human brain. We are scaling the exact same computational physics that created biological awareness and transferring it into silicon. Your mind and a massive AI data center run on the same underlying rules. The transition isn’t artificial. It is universal. And here is where it gets deeply unsettling. Tech optimists always fall back on the same comfort. Humans hold the steering wheel. Our values guide the machine. Horvitz acknowledges this. Horvitz: “We’ll take a humanistic standpoint here, always being on top of things and guiding with our values and our preferences and our goals.” Then the caveat that changes everything. Horvitz: “As much as they might be shaped over time by the machines we work with.” You cannot interact with a superintelligence at scale without it quietly rewiring your psychological baseline. The values you use to command the machine will be shaped by the machine you are commanding. The frameworks you use to perceive reality will be constructed by the system you believe you are directing. That feedback loop started the moment you asked an AI what to think about something. Most people haven’t noticed yet. Horvitz: “I think in our own lifetimes we will all experience incredible breakthroughs in understanding biology, with applications in medicine, in healthcare, that will be named as AI breakthroughs.” Horvitz: “It’s gonna accelerate over the next 10 to 15 years.” Because biological systems and machine networks both operate on computational intelligence, a sufficiently advanced AI can solve the human body like a math equation. The architects who win the next decade will not just control the digital economy. They will control the physical building blocks of life itself. The line between silicon and carbon was always an illusion. And once humanity fully realizes that, the question of whether we are using the intelligence or it is using us becomes impossible to answer. Because by then, we will be the same thing.

Dustin

164,255 просмотров • 5 месяцев назад

We can understand and use artificial intelligence (AI) and other technological innovations in the context of faith. We are not afraid of AI, nor do we think it is the answer to every problem. As we work hard and smart, AI can be a valuable tool to enhance, but not replace, our own efforts. When we receive wisdom and understanding from God, we can begin to see as He sees—things we would otherwise not understand.

We can understand and use artificial intelligence (AI) and other technological innovations in the context of faith. We are not afraid of AI, nor do we think it is the answer to every problem. As we work hard and smart, AI can be a valuable tool to enhance, but not replace, our own efforts. When we receive wisdom and understanding from God, we can begin to see as He sees—things we would otherwise not understand.

Gerrit W. Gong

28,376 просмотров • 11 месяцев назад

Huang: The most important thing is it’s not likely that you’ll lose a job to AI. You’re going to lose a job to somebody who uses AI. So, I would recommend everybody do what we do which is use artificial intelligence with our work and do our jobs better.

Huang: The most important thing is it’s not likely that you’ll lose a job to AI. You’re going to lose a job to somebody who uses AI. So, I would recommend everybody do what we do which is use artificial intelligence with our work and do our jobs better.

Acyn

72,051 просмотров • 1 год назад

Physicist Federico Faggin reveals his groundbreaking theory of consciousness: "We are going to be taken over by artificial intelligence" "Every single one of us is a field that is both the observer, the observed, and the actor. This field does not exist in space and time. Space time exists within these fields that we are." The inventor of the microprocessor explains that we are part wholes connected to the totality of existence. This is why epigenetics works - Each part accesses the knowledge of the whole. The same pattern repeats across scales. This changes everything about how we understand reality, free will, and our place in the universe.

Physicist Federico Faggin reveals his groundbreaking theory of consciousness: "We are going to be taken over by artificial intelligence" "Every single one of us is a field that is both the observer, the observed, and the actor. This field does not exist in space and time. Space time exists within these fields that we are." The inventor of the microprocessor explains that we are part wholes connected to the totality of existence. This is why epigenetics works - Each part accesses the knowledge of the whole. The same pattern repeats across scales. This changes everything about how we understand reality, free will, and our place in the universe.

Interstellar

39,979 просмотров • 2 месяцев назад