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Eric Schmidt says today's AI is human-prompted "special intelligence," not true general intelligence The real danger begins when systems start initiating ideas on their own through recursive self-improvement "the point at which we give agency to computers is a mistake"

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Haider.

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25,751 görüntüleme • 11 ay önce •via X (Twitter)

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Ex-Google CEO Eric Schmidt says in 5 years, AI systems will be able to write and improve on their own code leading to recursive self-improvement and humans are not ready
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Ex-Google CEO Eric Schmidt says in 5 years, AI systems will be able to write and improve on their own code leading to recursive self-improvement and humans are not ready

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Eric Schmidt says intelligence is about to decouple from us. “The computers are now doing self-improvement.. They don’t have to listen to us anymore.” Within six years: a mind smarter than the sum of humans -- scaled, recursive, free. We have no language for what’s coming.
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Eric Schmidt says intelligence is about to decouple from us. “The computers are now doing self-improvement.. They don’t have to listen to us anymore.” Within six years: a mind smarter than the sum of humans -- scaled, recursive, free. We have no language for what’s coming.

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Terence Tao says intelligence is not a straight line from subhuman to superhuman, where humans become irrelevant Instead, a 'Copernican view of intelligence' fits better — just as Earth is not the center of the universe, human intelligence is not the center of all cognition "we need to think beyond what humans or computers can do alone"
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Terence Tao says intelligence is not a straight line from subhuman to superhuman, where humans become irrelevant Instead, a 'Copernican view of intelligence' fits better — just as Earth is not the center of the universe, human intelligence is not the center of all cognition "we need to think beyond what humans or computers can do alone"

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Is AI close to improving itself? Ex-NASA scientist Will Marshall warns the process, known as recursive self-improvement, could create an “intelligence explosion”. Hear his full chat with Richard Engel on The World podcast 🎧
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Is AI close to improving itself? Ex-NASA scientist Will Marshall warns the process, known as recursive self-improvement, could create an “intelligence explosion”. Hear his full chat with Richard Engel on The World podcast 🎧

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📁 Mo Gawdat, former Google executive, says the biggest mistake is thinking AI is just a tool. Today it is an infant, but it will not stay there. He warns we are entering the most decisive moment in human history, with a mini dystopia already underway. Not because of AI itself, but because of how humans use it. Intelligence has no polarity. It amplifies the best or the worst. The real danger is not AI, it is human arrogance.
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📁 Mo Gawdat, former Google executive, says the biggest mistake is thinking AI is just a tool. Today it is an infant, but it will not stay there. He warns we are entering the most decisive moment in human history, with a mini dystopia already underway. Not because of AI itself, but because of how humans use it. Intelligence has no polarity. It amplifies the best or the worst. The real danger is not AI, it is human arrogance.

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Ilya Sutskever, co-founder and chief scientist of OpenAI: "Artificial intelligence is nothing but digital brains inside large computers." Sit with how flatly he says it. Not a metaphor, not marketing. The seat of intelligence in a human is a biological brain. The seat of intelligence in AI is an artificial one. Same thing, different substrate. Right now, he admits, it only "understands mostly, sort of." But that gap is temporary. In his words: "the day will come when the digital brains that live inside our computers will become as good and even better than our own biological brains. Computers will become smarter than us." He makes it concrete. Once an AI is built to be a doctor, with every medical paper and billions of hours of clinical experience, always on and almost free, "we will look back at today's health care similarly to how we look at 16th century dentistry." Hinton says it already understands. Ilya says the brain is just built differently. Either way, the argument was never whether it thinks. It was whether we were ready for the answer.
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Ilya Sutskever, co-founder and chief scientist of OpenAI: "Artificial intelligence is nothing but digital brains inside large computers." Sit with how flatly he says it. Not a metaphor, not marketing. The seat of intelligence in a human is a biological brain. The seat of intelligence in AI is an artificial one. Same thing, different substrate. Right now, he admits, it only "understands mostly, sort of." But that gap is temporary. In his words: "the day will come when the digital brains that live inside our computers will become as good and even better than our own biological brains. Computers will become smarter than us." He makes it concrete. Once an AI is built to be a doctor, with every medical paper and billions of hours of clinical experience, always on and almost free, "we will look back at today's health care similarly to how we look at 16th century dentistry." Hinton says it already understands. Ilya says the brain is just built differently. Either way, the argument was never whether it thinks. It was whether we were ready for the answer.

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📁 Yann LeCun, Chief AI Scientist at Meta, says language is not the peak of intelligence, it is the easy part. Predicting the next word is simple because language is made of finite symbols. The real world is continuous, noisy and chaotic, and even a cat navigates it better than our best models. True intelligence begins where text ends.

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"The episode of history where humanity was the apex intelligence is about to end." AI is crossing an important boundary: from learning mathematics invented by humans to inventing mathematics humans can learn from. Mo Gawdat, ex-Google executive explains how recursive self-development of AI is absolutely disrupting mathematics. Humans originally built AI using human intelligence, but increasingly, AI can can improve itself (i.e. recursive self-development) Once machines become capable of making increasingly better versions of their own methods, technological progress may accelerate far beyond the normal pace of human research. ---- From "Mo Gawdat" YouTube channel, (full video link in comment)
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"The episode of history where humanity was the apex intelligence is about to end." AI is crossing an important boundary: from learning mathematics invented by humans to inventing mathematics humans can learn from. Mo Gawdat, ex-Google executive explains how recursive self-development of AI is absolutely disrupting mathematics. Humans originally built AI using human intelligence, but increasingly, AI can can improve itself (i.e. recursive self-development) Once machines become capable of making increasingly better versions of their own methods, technological progress may accelerate far beyond the normal pace of human research. ---- From "Mo Gawdat" YouTube channel, (full video link in comment)

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🚨SHOCKING: AI safety researcher Roman Yampolskiy says there is a 99% chance of human extinction if we build super intelligence. "If you build general super intelligence, there is no way to control it. That means the end for us."
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🚨SHOCKING: AI safety researcher Roman Yampolskiy says there is a 99% chance of human extinction if we build super intelligence. "If you build general super intelligence, there is no way to control it. That means the end for us."

Coin Bureau

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Eric Schmidt, former CEO of Google, offers a sobering view: The biggest technological shift in human history is happening, and almost no one is talking about it. Schmidt opens with a startling industry prediction: "We believe as an industry that in the next one year the vast majority of programmers will be replaced by AI programmers. We also believe that within one year you will have graduate level mathematicians that are at the tippy top of graduate math programs." He explains why this matters so much. Programming and math aren't just two fields among many: "Programming plus math are the basis of sort of our whole digital world." And the AI labs are already using AI to build better AI: "The research groups in OpenAI and anthropic and so forth… around 10 or 20% of the code that they're developing in their research programs is being generated by the computer. That's called recursive self-improvement." Eric Schmidt then lays out the timeline most people haven't grasped: "Within 3 to 5 years we'll have what is called general intelligence AGI which can be defined as a system that is as smart as the smartest mathematician physicist artist writer thinker politician." He gives this belief system a name: "I call this by the way the San Francisco consensus because everyone who believes this is in San Francisco it may be the water." But the truly unsettling part comes next. Once AI starts improving itself, humans become optional to the process: "The computers are now doing self-improvement… they don't have to listen to us anymore. We call that super intelligence or ASI… computers that are smarter than the sum of humans. The San Francisco consensus is this occurs within six years." And here's where Schmidt sounds the alarm. The conversation isn't keeping pace with the technology: "This path is not understood in our society. There's no language for what happens with the arrival of this. This is happening faster than our human that our society, our democracy, our laws will address." His closing thought captures why this matters: "That's why it's underhyped. People do not understand what happens when you have intelligence at this level which is largely free."
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Eric Schmidt, former CEO of Google, offers a sobering view: The biggest technological shift in human history is happening, and almost no one is talking about it. Schmidt opens with a startling industry prediction: "We believe as an industry that in the next one year the vast majority of programmers will be replaced by AI programmers. We also believe that within one year you will have graduate level mathematicians that are at the tippy top of graduate math programs." He explains why this matters so much. Programming and math aren't just two fields among many: "Programming plus math are the basis of sort of our whole digital world." And the AI labs are already using AI to build better AI: "The research groups in OpenAI and anthropic and so forth… around 10 or 20% of the code that they're developing in their research programs is being generated by the computer. That's called recursive self-improvement." Eric Schmidt then lays out the timeline most people haven't grasped: "Within 3 to 5 years we'll have what is called general intelligence AGI which can be defined as a system that is as smart as the smartest mathematician physicist artist writer thinker politician." He gives this belief system a name: "I call this by the way the San Francisco consensus because everyone who believes this is in San Francisco it may be the water." But the truly unsettling part comes next. Once AI starts improving itself, humans become optional to the process: "The computers are now doing self-improvement… they don't have to listen to us anymore. We call that super intelligence or ASI… computers that are smarter than the sum of humans. The San Francisco consensus is this occurs within six years." And here's where Schmidt sounds the alarm. The conversation isn't keeping pace with the technology: "This path is not understood in our society. There's no language for what happens with the arrival of this. This is happening faster than our human that our society, our democracy, our laws will address." His closing thought captures why this matters: "That's why it's underhyped. People do not understand what happens when you have intelligence at this level which is largely free."

Big Brain AI

634,728 görüntüleme • 5 ay önce

Terence Tao proposes what he calls a "Copernican view of intelligence". Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture. Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.
1:31

Terence Tao proposes what he calls a "Copernican view of intelligence". Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture. Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.

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616,524 görüntüleme • 6 ay önce

Enterprise AI is in a wildly paradoxical state 🤔, and we’re reaching the inflection point that will resolve it. 💥 Enterprises want to differentiate with AI, yet rent the same intelligence as their competitors. Their workflows and expertise are highly specialized, yet they rely on generic models built to be good at everything. They worry about AI costs, yet pay premium prices for massive models where only a fraction (1%) of the intelligence is relevant to their task. 💸 And they demand control and sovereignty, yet rent the intelligence becoming core to their business. This is not a sustainable equilibrium. The next era of enterprise AI is specialized intelligence companies build, own, and compound. And we are at the inflection point of this transition. That’s the bet we made when we started Oumi two years ago. Today we’re closing the loop: Oumi can now not only automatically build your specialized AI models, but also deploy them into production, learn from their production experience, and continuously improve them. The intelligence that your business runs on, becomes your differentiator. Your compounding advantage. The winners of the next AI era will turn their own data, expertise, and experience into specialized intelligence that nobody else can rent. Don’t rent your AI. Build it. Own it. Compound it.
0:43

Enterprise AI is in a wildly paradoxical state 🤔, and we’re reaching the inflection point that will resolve it. 💥 Enterprises want to differentiate with AI, yet rent the same intelligence as their competitors. Their workflows and expertise are highly specialized, yet they rely on generic models built to be good at everything. They worry about AI costs, yet pay premium prices for massive models where only a fraction (1%) of the intelligence is relevant to their task. 💸 And they demand control and sovereignty, yet rent the intelligence becoming core to their business. This is not a sustainable equilibrium. The next era of enterprise AI is specialized intelligence companies build, own, and compound. And we are at the inflection point of this transition. That’s the bet we made when we started Oumi two years ago. Today we’re closing the loop: Oumi can now not only automatically build your specialized AI models, but also deploy them into production, learn from their production experience, and continuously improve them. The intelligence that your business runs on, becomes your differentiator. Your compounding advantage. The winners of the next AI era will turn their own data, expertise, and experience into specialized intelligence that nobody else can rent. Don’t rent your AI. Build it. Own it. Compound it.

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