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CT always asks where the edge is. It’s not charts. It’s not indicators. It’s not copy trading. It’s being early. Same way people made fortunes grabbing $ASTEROID early. Same way we positioned on $SI before it moved. Now we’re here, live, hearing the next narrative get named: Superior Intelligence....

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OhMyJack

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14,237 Aufrufe • vor 4 Monaten •via X (Twitter)

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Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.
1:19

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Dustin

565,456 Aufrufe • vor 4 Monaten

Elon Musk: We’re heading toward a future where human intelligence becomes a microscopic minority—not just on Earth, but across the entire solar system. Best case? Earth-based intelligence only taps into about one billionth of the Sun’s energy. That’s it. Just a fraction of a fraction. Even the total solar energy reaching Earth is roughly half a billionth of the Sun’s output—and that’s already the majority of what we can access today. Now imagine expanding beyond Earth. The moment intelligence scales into the solar system, the gap explodes. Orders of magnitude more energy. Orders of magnitude more intelligence. What exists on Earth today becomes almost negligible in comparison. We’re not just building smarter systems—we’re entering an era where intelligence itself scales with energy. And the solar system has almost unlimited supply. The real question isn’t if this happens… it’s how humanity fits into a world where it’s no longer the dominant form of intelligence.
1:07

Elon Musk: We’re heading toward a future where human intelligence becomes a microscopic minority—not just on Earth, but across the entire solar system. Best case? Earth-based intelligence only taps into about one billionth of the Sun’s energy. That’s it. Just a fraction of a fraction. Even the total solar energy reaching Earth is roughly half a billionth of the Sun’s output—and that’s already the majority of what we can access today. Now imagine expanding beyond Earth. The moment intelligence scales into the solar system, the gap explodes. Orders of magnitude more energy. Orders of magnitude more intelligence. What exists on Earth today becomes almost negligible in comparison. We’re not just building smarter systems—we’re entering an era where intelligence itself scales with energy. And the solar system has almost unlimited supply. The real question isn’t if this happens… it’s how humanity fits into a world where it’s no longer the dominant form of intelligence.

Ian Miles Cheong

17,543 Aufrufe • vor 6 Monaten

Elon Musk told a room full of brilliant people they’re the easiest to replace. And proved it in one sentence. Musk: “The most important mistake I see smart people making is assuming that they’re smart.” He’s not questioning your intelligence. He’s warning you it’s what will bury you. Not because it’s fake. Because you mistook having it for being it. The moment intelligence becomes identity, it stops sharpening. It starts defending. And a trait that only defends itself has a shelf life. Kasparov. Greatest chess mind that ever lived. Deep Blue crushed him in 1997. Nobody grieved. They reclassified. “Chess isn’t real intelligence.” Language. Reasoning. Strategy. Every line crossed. Every line redrawn. Musk: “We just keep moving the goalposts.” That’s not critical thinking. That’s a species protecting its ego in real time. And the people doing it the hardest are the ones most sure they’re above it. Elon’s not warning you about machines. He’s warning you about what you’ll become while pretending they don’t matter. The smartest people alive aren’t being outperformed. They’re being outlasted by the one thing they refuse to respect. The machine doesn’t need to be smarter than you. It just needs you to keep believing you’re smarter than it. And your identity will make sure you do.
0:42

Elon Musk told a room full of brilliant people they’re the easiest to replace. And proved it in one sentence. Musk: “The most important mistake I see smart people making is assuming that they’re smart.” He’s not questioning your intelligence. He’s warning you it’s what will bury you. Not because it’s fake. Because you mistook having it for being it. The moment intelligence becomes identity, it stops sharpening. It starts defending. And a trait that only defends itself has a shelf life. Kasparov. Greatest chess mind that ever lived. Deep Blue crushed him in 1997. Nobody grieved. They reclassified. “Chess isn’t real intelligence.” Language. Reasoning. Strategy. Every line crossed. Every line redrawn. Musk: “We just keep moving the goalposts.” That’s not critical thinking. That’s a species protecting its ego in real time. And the people doing it the hardest are the ones most sure they’re above it. Elon’s not warning you about machines. He’s warning you about what you’ll become while pretending they don’t matter. The smartest people alive aren’t being outperformed. They’re being outlasted by the one thing they refuse to respect. The machine doesn’t need to be smarter than you. It just needs you to keep believing you’re smarter than it. And your identity will make sure you do.

Dustin

125,423 Aufrufe • vor 2 Monaten

Mark Zuckerberg just described the minimum viable business for the next decade. A fourth item made the checklist. Zuckerberg: “Every business, just like they have a website, and a phone number, and an email address, is also going to have an AI.” Website. Phone number. Email address. AI agent. That is not a prediction. That is a new baseline. Twenty years ago, not having a website was a choice. Then it stopped being one. Nobody scheduled that transition. The same filter is back. Running faster this time. A business without an AI agent handling sales, support, and customer interaction will not look outdated. It will look abandoned. Its competitor’s agent responds in two seconds. Knows every customer by name. And while it’s handling yours, it’s handling ten thousand others. You do not outwork that. You do not outspend it. You just lose to it. But Zuckerberg went somewhere most tech CEOs refuse to go. He picked a side in the debate most CEOs avoid entirely. Zuckerberg: “Do you want a future where you’re interacting with kind of one system for everything? Or do you want one where a lot of different people are building a lot of different AIs?” One AI controlled by one company. Or millions of AIs built by millions of people. Centralized intelligence. Or distributed intelligence. Zuckerberg chose distributed. Zuckerberg: “What open source does is it makes it so everyone can take and modify the model and build stuff on top of it. Which is different from the kind of closed and centralized approach.” The closed model makes every business a tenant. You rent intelligence on someone else’s terms. At someone else’s price. Inside someone else’s guardrails. The open model makes every business an owner. You modify the model. You deploy it your way. You build equity in your own system with every iteration. That gap widens quietly. Then it becomes permanent. The tenant pays more for less control every year. The owner pulls further ahead every cycle. One is a subscription. The other is infrastructure. Then Zuckerberg described the part most people have not thought about yet. Zuckerberg: “A lot of creators will have their own AIs. It’s like a richer world when there’s a diversity of different things.” Your favorite creator will have an AI trained on everything they have ever made. Available to millions of people simultaneously. Responding in real time while the creator sleeps. That is the difference between a brand that scales with your waking hours and one that scales with compute. One has a ceiling. The other does not. Zuckerberg is not betting on one model that governs everything. He is betting on billions of specialized AIs, each built by the person closest to the problem it solves. The companies still debating whether to adopt AI are not having the wrong conversation. They are standing in a room where the meeting ended an hour ago. The checklist updated. They did not.
0:58

Mark Zuckerberg just described the minimum viable business for the next decade. A fourth item made the checklist. Zuckerberg: “Every business, just like they have a website, and a phone number, and an email address, is also going to have an AI.” Website. Phone number. Email address. AI agent. That is not a prediction. That is a new baseline. Twenty years ago, not having a website was a choice. Then it stopped being one. Nobody scheduled that transition. The same filter is back. Running faster this time. A business without an AI agent handling sales, support, and customer interaction will not look outdated. It will look abandoned. Its competitor’s agent responds in two seconds. Knows every customer by name. And while it’s handling yours, it’s handling ten thousand others. You do not outwork that. You do not outspend it. You just lose to it. But Zuckerberg went somewhere most tech CEOs refuse to go. He picked a side in the debate most CEOs avoid entirely. Zuckerberg: “Do you want a future where you’re interacting with kind of one system for everything? Or do you want one where a lot of different people are building a lot of different AIs?” One AI controlled by one company. Or millions of AIs built by millions of people. Centralized intelligence. Or distributed intelligence. Zuckerberg chose distributed. Zuckerberg: “What open source does is it makes it so everyone can take and modify the model and build stuff on top of it. Which is different from the kind of closed and centralized approach.” The closed model makes every business a tenant. You rent intelligence on someone else’s terms. At someone else’s price. Inside someone else’s guardrails. The open model makes every business an owner. You modify the model. You deploy it your way. You build equity in your own system with every iteration. That gap widens quietly. Then it becomes permanent. The tenant pays more for less control every year. The owner pulls further ahead every cycle. One is a subscription. The other is infrastructure. Then Zuckerberg described the part most people have not thought about yet. Zuckerberg: “A lot of creators will have their own AIs. It’s like a richer world when there’s a diversity of different things.” Your favorite creator will have an AI trained on everything they have ever made. Available to millions of people simultaneously. Responding in real time while the creator sleeps. That is the difference between a brand that scales with your waking hours and one that scales with compute. One has a ceiling. The other does not. Zuckerberg is not betting on one model that governs everything. He is betting on billions of specialized AIs, each built by the person closest to the problem it solves. The companies still debating whether to adopt AI are not having the wrong conversation. They are standing in a room where the meeting ended an hour ago. The checklist updated. They did not.

Dustin

507,064 Aufrufe • vor 5 Monaten

Elon Musk just explained why the most important AI company on Earth might be a rocket company. The human brain is 2% of body mass. It burns 20% of the body’s total energy. Intelligence has always been an energy problem disguised as an information problem. The entire tech industry missed this. Musk: “Those who have lived in software land don’t realize that they’re about to have a hard lesson in hardware.” Every new model is hungrier than the last. Every training run devours more electricity than the one before. The grid was not built for this. Utility companies move at geological speed. Interconnection takes years. Permitting takes years. Construction takes years. AI moves in months. Musk: “You’re going to hit the wall big time on power generation. They already are.” The obvious answer is private power plants next to data centers. Musk: “Where do you get the power plants? Where do you get the power plants from?” You cannot will a turbine into existence with venture capital. Every atom on Earth is bound by friction, gravity, and regulation. Most people stare at this wall and see the ceiling on intelligence. They are looking in the wrong direction. In orbit there is no night. No clouds. No seasons. No permitting. No grid. Unfiltered solar energy feeding silicon every hour of every day. Musk: “It’s 10 times cheaper because you don’t need any batteries.” That single number rewrites the entire economics of intelligence. Musk: “The moment your cost of access to space becomes low, by far the cheapest and most scalable way to generate tokens is space.” SpaceX is not a rocket company. It is quietly becoming the most important energy infrastructure play on the planet. Starship is not about Mars. It is about making orbit so cheap that building on the ground becomes the irrational choice. Every major leap in intelligence followed the same pattern. Not a smarter algorithm. A bigger energy source. Fire grew the human brain. Fossil fuels built the computer. The next source isn’t on this planet. The ceiling on intelligence was never artificial. It was always gravitational. The future will not be decided by who builds the best model. It will be decided by who builds the cheapest rocket.
1:02

Elon Musk just explained why the most important AI company on Earth might be a rocket company. The human brain is 2% of body mass. It burns 20% of the body’s total energy. Intelligence has always been an energy problem disguised as an information problem. The entire tech industry missed this. Musk: “Those who have lived in software land don’t realize that they’re about to have a hard lesson in hardware.” Every new model is hungrier than the last. Every training run devours more electricity than the one before. The grid was not built for this. Utility companies move at geological speed. Interconnection takes years. Permitting takes years. Construction takes years. AI moves in months. Musk: “You’re going to hit the wall big time on power generation. They already are.” The obvious answer is private power plants next to data centers. Musk: “Where do you get the power plants? Where do you get the power plants from?” You cannot will a turbine into existence with venture capital. Every atom on Earth is bound by friction, gravity, and regulation. Most people stare at this wall and see the ceiling on intelligence. They are looking in the wrong direction. In orbit there is no night. No clouds. No seasons. No permitting. No grid. Unfiltered solar energy feeding silicon every hour of every day. Musk: “It’s 10 times cheaper because you don’t need any batteries.” That single number rewrites the entire economics of intelligence. Musk: “The moment your cost of access to space becomes low, by far the cheapest and most scalable way to generate tokens is space.” SpaceX is not a rocket company. It is quietly becoming the most important energy infrastructure play on the planet. Starship is not about Mars. It is about making orbit so cheap that building on the ground becomes the irrational choice. Every major leap in intelligence followed the same pattern. Not a smarter algorithm. A bigger energy source. Fire grew the human brain. Fossil fuels built the computer. The next source isn’t on this planet. The ceiling on intelligence was never artificial. It was always gravitational. The future will not be decided by who builds the best model. It will be decided by who builds the cheapest rocket.

Dustin

50,264 Aufrufe • vor 2 Monaten

AI companies are spending and earning enormous amounts of money, while many customers are still exploring how best to translate the tec into financial value creation. --- Chamath: "Let’s say a “barrel of intelligence” is one million tokens. You can buy that barrel from OpenAI for $26. Anthropic’s latest model costs about $56. Elon Musk is selling you a barrel of intelligence for $1. Mark Zuckerberg is about to sell it to you for $1.50. Demis Hassabis and Sundar Pichai are trying to sell it to you for $1, and the Chinese will sell it to you for $0.50. This rationalization has to happen. We have the same basic input being offered at dramatically different prices. If you made an early bet on one of the companies selling extremely expensive barrels of intelligence, and you try to pass those costs through to customers, you may run into downstream difficulties. That has to play itself out." ---- From "CNBC Television" YouTube channel, (full video link in comment)
1:24

AI companies are spending and earning enormous amounts of money, while many customers are still exploring how best to translate the tec into financial value creation. --- Chamath: "Let’s say a “barrel of intelligence” is one million tokens. You can buy that barrel from OpenAI for $26. Anthropic’s latest model costs about $56. Elon Musk is selling you a barrel of intelligence for $1. Mark Zuckerberg is about to sell it to you for $1.50. Demis Hassabis and Sundar Pichai are trying to sell it to you for $1, and the Chinese will sell it to you for $0.50. This rationalization has to happen. We have the same basic input being offered at dramatically different prices. If you made an early bet on one of the companies selling extremely expensive barrels of intelligence, and you try to pass those costs through to customers, you may run into downstream difficulties. That has to play itself out." ---- From "CNBC Television" YouTube channel, (full video link in comment)

Rohan Paul

39,305 Aufrufe • vor 2 Monaten

ELON MUSK: AI IS ABOUT TO GET 100× SMARTER THAN MOST PEOPLE EXPECT Most people in the AI community don't yet understand this, the intelligence density potential is vastly greater than what we're currently experiencing I think we're off by two orders of magnitude in terms of the intelligence density per gigabyte of file size. If you have intelligence per parameter on your laptop, it’s the same thing So, two orders of magnitude... that’s just algorithmic improvement using the same computer And the computers are getting better and bigger. They’re getting better, and the budgets are getting bigger So that’s why I think it is like a 10x improvement per year a thousand percent. And that’s going to happen for the foreseeable future
1:18

ELON MUSK: AI IS ABOUT TO GET 100× SMARTER THAN MOST PEOPLE EXPECT Most people in the AI community don't yet understand this, the intelligence density potential is vastly greater than what we're currently experiencing I think we're off by two orders of magnitude in terms of the intelligence density per gigabyte of file size. If you have intelligence per parameter on your laptop, it’s the same thing So, two orders of magnitude... that’s just algorithmic improvement using the same computer And the computers are getting better and bigger. They’re getting better, and the budgets are getting bigger So that’s why I think it is like a 10x improvement per year a thousand percent. And that’s going to happen for the foreseeable future

X Freeze

43,113 Aufrufe • vor 8 Monaten

Bad wig and bad false teeth, still thinks he’s superior because he is white. Morning Joe spent a segment on how America isn’t a racist country, and that it is not normal to have a racist group chat. Not normal to say racist things. I implore white people to stop saying things you know nothing about. This country was built on racism. Race was constructed for the supremacy of white people. This country is racist. Non white people see it. We feel it and we hear it. It’s not a one-off. It’s not sometimes. It’s all the time. Black people don’t have the luxury of waking up and not thinking about the color of our skin and what fresh hell is coming our way or our kids' way. #DemsUnited
0:28

Bad wig and bad false teeth, still thinks he’s superior because he is white. Morning Joe spent a segment on how America isn’t a racist country, and that it is not normal to have a racist group chat. Not normal to say racist things. I implore white people to stop saying things you know nothing about. This country was built on racism. Race was constructed for the supremacy of white people. This country is racist. Non white people see it. We feel it and we hear it. It’s not a one-off. It’s not sometimes. It’s all the time. Black people don’t have the luxury of waking up and not thinking about the color of our skin and what fresh hell is coming our way or our kids' way. #DemsUnited

LanaQuest aka RosaSparks

239,299 Aufrufe • vor 11 Monaten

There are two kinds of A.I. -- not just one. We keep hearing about the A.I. known as "Artificial Intelligence." But there is an older A.I. that almost nobody talks about anyone. Call it "Ancient Intelligence." Or "Ancestral Intelligence." These are the wisdom traditions, the community bonds and the moral frameworks that have always kept us human. One A.I. is growing exponentially. The other is being left behind. We are in danger of having a society that is characterized by "all data and no wisdom." Right now, exponential technology is creating a gap that leaves people behind. The question is whether we close it before it closes on us. Closing that gap requires a new deal between big tech and the rest of humanity. I shared what we can do about all of this at TED Talks. My talk is live today - watch here:
0:33

There are two kinds of A.I. -- not just one. We keep hearing about the A.I. known as "Artificial Intelligence." But there is an older A.I. that almost nobody talks about anyone. Call it "Ancient Intelligence." Or "Ancestral Intelligence." These are the wisdom traditions, the community bonds and the moral frameworks that have always kept us human. One A.I. is growing exponentially. The other is being left behind. We are in danger of having a society that is characterized by "all data and no wisdom." Right now, exponential technology is creating a gap that leaves people behind. The question is whether we close it before it closes on us. Closing that gap requires a new deal between big tech and the rest of humanity. I shared what we can do about all of this at TED Talks. My talk is live today - watch here:

Van Jones

16,333 Aufrufe • vor 2 Monaten

Elon Musk just said the AI community is misunderstanding the math of superintelligence by two orders of magnitude. Not slightly off. Not directionally wrong. A hundred times off. Musk: “Most people in the AI community don’t yet understand. The intelligence density potential is vastly greater than what we’re currently experiencing.” Everyone is focused on the hardware race. Bigger data centers. More GPUs. Nuclear power plants built to feed the compute. That’s half the equation. Musk: “I think we’re off by two orders of magnitude in terms of intelligence density per gigabyte. That’s just algorithmic improvement. Same computer.” Read that carefully. Not more hardware. Not more energy. Not more capital. The same machine. A hundred times smarter. Through software alone. That’s before the hardware improvements compound on top of it. Musk: “And the computers are getting better. That’s why I think it is a 10x improvement per year type thing. 1,000 percent.” A thousand percent compounding annual growth rate in raw intelligence. A system that becomes 10x more capable every twelve months doesn’t follow a linear curve. It doesn’t follow an exponential curve that human intuition can track. It follows a curve that human intuition cannot simulate at all. In year one it’s 10x smarter. In year two it’s 100x. In year three it’s 1,000x. At that point, the gap between that system and a human brain is wider than the gap between a human brain and a calculator. This is the math the public isn’t running. The models aren’t just getting better. They are compounding on themselves at a rate that makes every previous technology curve look flat. Musk: “The intelligence density potential is vastly greater than what we’re currently experiencing.” We aren’t approaching superintelligence on the timeline most people imagine. We are already inside the curve.
1:18

Elon Musk just said the AI community is misunderstanding the math of superintelligence by two orders of magnitude. Not slightly off. Not directionally wrong. A hundred times off. Musk: “Most people in the AI community don’t yet understand. The intelligence density potential is vastly greater than what we’re currently experiencing.” Everyone is focused on the hardware race. Bigger data centers. More GPUs. Nuclear power plants built to feed the compute. That’s half the equation. Musk: “I think we’re off by two orders of magnitude in terms of intelligence density per gigabyte. That’s just algorithmic improvement. Same computer.” Read that carefully. Not more hardware. Not more energy. Not more capital. The same machine. A hundred times smarter. Through software alone. That’s before the hardware improvements compound on top of it. Musk: “And the computers are getting better. That’s why I think it is a 10x improvement per year type thing. 1,000 percent.” A thousand percent compounding annual growth rate in raw intelligence. A system that becomes 10x more capable every twelve months doesn’t follow a linear curve. It doesn’t follow an exponential curve that human intuition can track. It follows a curve that human intuition cannot simulate at all. In year one it’s 10x smarter. In year two it’s 100x. In year three it’s 1,000x. At that point, the gap between that system and a human brain is wider than the gap between a human brain and a calculator. This is the math the public isn’t running. The models aren’t just getting better. They are compounding on themselves at a rate that makes every previous technology curve look flat. Musk: “The intelligence density potential is vastly greater than what we’re currently experiencing.” We aren’t approaching superintelligence on the timeline most people imagine. We are already inside the curve.

Dustin

1,554,512 Aufrufe • vor 6 Monaten

Crypto moves fast, narratives shift overnight, and tokens pump before anyone understands why. By the time most people notice, the opportunity is gone. The market isn’t chaotic, it’s just hard to interpret. Crypto AI Alerts fixes this. Experience a real-time intelligence engine that analyzes everything moving markets: sentiment, news, on-chain activity, liquidity, narrative momentum, and price action. It converts that data into clear bullish, neutral, or bearish signals you can act on. No guessing. No hype. No noise. Here’s what makes it powerful: 🔹 Signal Engine: AI classifies market behavior across tokens and sentiment with explanations behind trends. 🔹 Narrative Discovery: Spot emerging narratives early, track momentum, and find clusters of tokens gaining traction. 🔹 Personalized Watchlists: Follow tokens you care about and get alerts when sentiment changes. Crypto AI Alerts isn’t a signal feed, it’s an intelligence layer for the market: a way to understand what’s happening, why it matters, and where momentum is heading next.
0:37

Crypto moves fast, narratives shift overnight, and tokens pump before anyone understands why. By the time most people notice, the opportunity is gone. The market isn’t chaotic, it’s just hard to interpret. Crypto AI Alerts fixes this. Experience a real-time intelligence engine that analyzes everything moving markets: sentiment, news, on-chain activity, liquidity, narrative momentum, and price action. It converts that data into clear bullish, neutral, or bearish signals you can act on. No guessing. No hype. No noise. Here’s what makes it powerful: 🔹 Signal Engine: AI classifies market behavior across tokens and sentiment with explanations behind trends. 🔹 Narrative Discovery: Spot emerging narratives early, track momentum, and find clusters of tokens gaining traction. 🔹 Personalized Watchlists: Follow tokens you care about and get alerts when sentiment changes. Crypto AI Alerts isn’t a signal feed, it’s an intelligence layer for the market: a way to understand what’s happening, why it matters, and where momentum is heading next.

ChainGPT

54,425 Aufrufe • vor 9 Monaten

Larry Ellison just said something that landed way too quietly. Ellison: “It’s the largest, fastest-growing business in human history. Bigger than the railroads, bigger than the Industrial Revolution.” He wasn’t speculating. He said it the way someone talks about the weather. Flat. Measured. Already certain. That tone is the tell. The people building this aren’t debating whether it’s real. They’re spending billions because they already know what they’re sitting on. Every revolution before this one built physical things. Rail. Steel. Wire. Engines. Objects you could see and touch and shut down if you needed to. This one is building something you can’t touch. The ability to think. Not a tool. Not a platform. The thing that designs all of them. Railroads moved freight. Factories assembled products. AI replaces the mind that engineered both. Every empire in history was built on controlling a scarce resource. Roads. Seas. Oil. Capital. The next century belongs to whoever controls intelligence itself. But there’s one thing every previous revolution had that this one doesn’t. A speed limit. You can only lay so much track. Build so many factories. Drill so many wells. Intelligence has no ceiling. Once it gets good enough to improve itself, the curve doesn’t flatten. It goes vertical. Ellison called it a whole new world dawning. I think he’s being polite. Every revolution before this one needed people to build it. This is the first one that won’t need people to finish it.
0:43

Larry Ellison just said something that landed way too quietly. Ellison: “It’s the largest, fastest-growing business in human history. Bigger than the railroads, bigger than the Industrial Revolution.” He wasn’t speculating. He said it the way someone talks about the weather. Flat. Measured. Already certain. That tone is the tell. The people building this aren’t debating whether it’s real. They’re spending billions because they already know what they’re sitting on. Every revolution before this one built physical things. Rail. Steel. Wire. Engines. Objects you could see and touch and shut down if you needed to. This one is building something you can’t touch. The ability to think. Not a tool. Not a platform. The thing that designs all of them. Railroads moved freight. Factories assembled products. AI replaces the mind that engineered both. Every empire in history was built on controlling a scarce resource. Roads. Seas. Oil. Capital. The next century belongs to whoever controls intelligence itself. But there’s one thing every previous revolution had that this one doesn’t. A speed limit. You can only lay so much track. Build so many factories. Drill so many wells. Intelligence has no ceiling. Once it gets good enough to improve itself, the curve doesn’t flatten. It goes vertical. Ellison called it a whole new world dawning. I think he’s being polite. Every revolution before this one needed people to build it. This is the first one that won’t need people to finish it.

Dustin

15,895 Aufrufe • vor 4 Monaten

Elon Musk: I go to sleep and there’s some massive AI breakthrough… and when I wake up, there’s another one. It’s honestly hard to keep track. According to Musk, the pace of AI progress has reached a point where breakthroughs are happening almost daily. He says Grok is already performing extremely well — and by some metrics, especially prediction, it’s the best. “The new Grok 4.20 is really, really good.” Right now, Musk says the main focus is catching up and surpassing competitors in coding. In fact, he was late because he was in a “giant all-hands coding session” working through everything needed to push Grok ahead. “I think we’ll catch up and exceed our competitors on coding… probably by the middle of this year.” But the bigger point Musk makes is that most people still don’t grasp how much intelligence is coming. “I think people don’t quite understand just how much intelligence there will be… or how far it will exceed human intelligence to a degree that’s impossible to fully understand.” He explains it through energy. If humanity harnessed a million times more electricity than all of Earth uses today, our entire civilization would still only be using about one-millionth of the Sun’s energy output. Now imagine an economy and intelligence operating at that scale. “What does an intelligence using a million times more electricity than all of Earth’s civilization think about… look like… or do?” “It’s going to be something pretty magnificent.” Musk says the real challenge may not be building that level of intelligence — but even vaguely appreciating it. But one thing, he says, is clear: It will solve everything you can possibly think of.
2:40

Elon Musk: I go to sleep and there’s some massive AI breakthrough… and when I wake up, there’s another one. It’s honestly hard to keep track. According to Musk, the pace of AI progress has reached a point where breakthroughs are happening almost daily. He says Grok is already performing extremely well — and by some metrics, especially prediction, it’s the best. “The new Grok 4.20 is really, really good.” Right now, Musk says the main focus is catching up and surpassing competitors in coding. In fact, he was late because he was in a “giant all-hands coding session” working through everything needed to push Grok ahead. “I think we’ll catch up and exceed our competitors on coding… probably by the middle of this year.” But the bigger point Musk makes is that most people still don’t grasp how much intelligence is coming. “I think people don’t quite understand just how much intelligence there will be… or how far it will exceed human intelligence to a degree that’s impossible to fully understand.” He explains it through energy. If humanity harnessed a million times more electricity than all of Earth uses today, our entire civilization would still only be using about one-millionth of the Sun’s energy output. Now imagine an economy and intelligence operating at that scale. “What does an intelligence using a million times more electricity than all of Earth’s civilization think about… look like… or do?” “It’s going to be something pretty magnificent.” Musk says the real challenge may not be building that level of intelligence — but even vaguely appreciating it. But one thing, he says, is clear: It will solve everything you can possibly think of.

Ian Miles

145,755 Aufrufe • vor 6 Monaten

Jensen Huang just replaced the most important metric in global economics. Not trade volume. Not oil output. Not manufacturing. Compute. Huang: “Compute equals GDP. I know that for certain.” He did not say probably. He said certain. If your nation does not produce compute, it does not produce intelligence. If it does not produce intelligence, it does not produce revenue. Two links in the chain. Miss one and the whole thing breaks. Huang: “Not one country in the future will say, ‘Guess what, we’re gonna opt out on intelligence.’” Because opting out of compute is not a strategic decision. It is an extinction schedule. Every country that does not build its own inference capacity becomes a tenant in someone else’s infrastructure. Not an ally. Not a partner. A dependent. And dependents do not negotiate terms. They accept them. But this is not just a story about nations. Huang: “The entire software industry will be token-driven.” Every product. Every platform. Every service you touch. The entire business model of software is about to be measured in tokens consumed. Not seats sold. Not licenses renewed. Tokens burned. Software used to be a thing you bought. Now it is a thing that thinks. And thinking costs compute. Every query. Every action. Every decision the machine makes on your behalf. The meter is always running. Huang: “The entire internet industry could take 100% of their CapEx and make it AI because it’s better.” Not ten percent. Not a pilot program. One hundred percent. The moment any internet service rebuilds itself on generative intelligence, it outperforms every version that came before it. Search. Ads. Recommendation. Infrastructure. All of it. Better on contact. CapEx follows. All of it. Trillions moving in one direction with no offramp. The companies still budgeting AI as a line item are telling you exactly how much they understand. AI is not the line item. AI is the budget. The global economy is being re-denominated in a currency most people have not even heard of yet. Tokens. Whoever controls the supply of that currency is not playing in the new economy. They are the house. And the house does not lose.
2:07

Jensen Huang just replaced the most important metric in global economics. Not trade volume. Not oil output. Not manufacturing. Compute. Huang: “Compute equals GDP. I know that for certain.” He did not say probably. He said certain. If your nation does not produce compute, it does not produce intelligence. If it does not produce intelligence, it does not produce revenue. Two links in the chain. Miss one and the whole thing breaks. Huang: “Not one country in the future will say, ‘Guess what, we’re gonna opt out on intelligence.’” Because opting out of compute is not a strategic decision. It is an extinction schedule. Every country that does not build its own inference capacity becomes a tenant in someone else’s infrastructure. Not an ally. Not a partner. A dependent. And dependents do not negotiate terms. They accept them. But this is not just a story about nations. Huang: “The entire software industry will be token-driven.” Every product. Every platform. Every service you touch. The entire business model of software is about to be measured in tokens consumed. Not seats sold. Not licenses renewed. Tokens burned. Software used to be a thing you bought. Now it is a thing that thinks. And thinking costs compute. Every query. Every action. Every decision the machine makes on your behalf. The meter is always running. Huang: “The entire internet industry could take 100% of their CapEx and make it AI because it’s better.” Not ten percent. Not a pilot program. One hundred percent. The moment any internet service rebuilds itself on generative intelligence, it outperforms every version that came before it. Search. Ads. Recommendation. Infrastructure. All of it. Better on contact. CapEx follows. All of it. Trillions moving in one direction with no offramp. The companies still budgeting AI as a line item are telling you exactly how much they understand. AI is not the line item. AI is the budget. The global economy is being re-denominated in a currency most people have not even heard of yet. Tokens. Whoever controls the supply of that currency is not playing in the new economy. They are the house. And the house does not lose.

Dustin

43,505 Aufrufe • vor 5 Monaten

NEW - Rubio SHUTS DOWN CBS’ Brennan over intel claims on Iran’s nuclear capabilities. Secretary Marco Rubio wasn’t having it when CBS’ Margaret Brennan tried to steer the narrative. Rubio: “Why do they have a space program? Is Iran going to go to the moon?” “No! They’re trying to build an ICBM, so they can one day put a warhead on it—” Brennan: “That’s a question of intent, and you know in the intelligence assessment it was that Iran wanted to be a threshold state—” Rubio: “How do you know what the intelligence assessment says? How do you know what the intelligence assessment says?” Brennan: “I’m talking about the public March assessment.” Rubio: “Well, that’s also an inaccurate representation of it. That’s an inaccurate representation of it.” “That’s not how intelligence is read. That’s not how intelligence is used.” Then he dropped the facts: “Here’s what the whole world knows, forget about the intelligence, the IAEA knows, they are enriching uranium WELL beyond anything you need for a civil nuclear program.” “So, why would you enrich uranium at 60%? If you don’t intend to one day use to take it to 90 and build a weapon.” “Why are you developing ICBMs?” “Why do you have 8,000 short range missiles and 2,000–3,000 mid-range missiles that you continue to develop?” “Why do you all these things? They have everything they need for a nuclear weapon. They have the delivery mechanisms. They have the enrichment capability. They have the highly enriched uranium that is stored.” “That’s all we need to see.”
1:11

NEW - Rubio SHUTS DOWN CBS’ Brennan over intel claims on Iran’s nuclear capabilities. Secretary Marco Rubio wasn’t having it when CBS’ Margaret Brennan tried to steer the narrative. Rubio: “Why do they have a space program? Is Iran going to go to the moon?” “No! They’re trying to build an ICBM, so they can one day put a warhead on it—” Brennan: “That’s a question of intent, and you know in the intelligence assessment it was that Iran wanted to be a threshold state—” Rubio: “How do you know what the intelligence assessment says? How do you know what the intelligence assessment says?” Brennan: “I’m talking about the public March assessment.” Rubio: “Well, that’s also an inaccurate representation of it. That’s an inaccurate representation of it.” “That’s not how intelligence is read. That’s not how intelligence is used.” Then he dropped the facts: “Here’s what the whole world knows, forget about the intelligence, the IAEA knows, they are enriching uranium WELL beyond anything you need for a civil nuclear program.” “So, why would you enrich uranium at 60%? If you don’t intend to one day use to take it to 90 and build a weapon.” “Why are you developing ICBMs?” “Why do you have 8,000 short range missiles and 2,000–3,000 mid-range missiles that you continue to develop?” “Why do you all these things? They have everything they need for a nuclear weapon. They have the delivery mechanisms. They have the enrichment capability. They have the highly enriched uranium that is stored.” “That’s all we need to see.”

Overton

56,793 Aufrufe • vor 1 Jahr

🚨 Joe Kent stuns Tucker Carlson when he says Israeli officials often “short-circuit” the US government with “Trust me Bro” Intelligence Kent: I know the Israeli officials, some in intelligence, some in government, will come to US government officials, and they will say all kinds of things that we know from our intelligence that just simply is not true — they’ll say, ‘Hey, I’m giving you a preview. It’s not an intelligence channel as yet, but here’s what’s gonna happen.’ Tucker: Wait, wait, wait a second. I mean, I thought that US policymakers made their decisions on the basis of intelligence collected and vetted by our intelligence community? You’re saying that Israeli officials ‘short-circuited’ the entire US government and just went right to American policymakers and said, ‘It doesn’t matter what your country says. Here’s what we know.’ Is that what you’re saying?” Kent: And they’ll say, “Hey, this isn’t in intelligence channels yet because it’s going to take some time to get there…. (Like Iraq is creating Weapons of Mass Destruction)
2:32

🚨 Joe Kent stuns Tucker Carlson when he says Israeli officials often “short-circuit” the US government with “Trust me Bro” Intelligence Kent: I know the Israeli officials, some in intelligence, some in government, will come to US government officials, and they will say all kinds of things that we know from our intelligence that just simply is not true — they’ll say, ‘Hey, I’m giving you a preview. It’s not an intelligence channel as yet, but here’s what’s gonna happen.’ Tucker: Wait, wait, wait a second. I mean, I thought that US policymakers made their decisions on the basis of intelligence collected and vetted by our intelligence community? You’re saying that Israeli officials ‘short-circuited’ the entire US government and just went right to American policymakers and said, ‘It doesn’t matter what your country says. Here’s what we know.’ Is that what you’re saying?” Kent: And they’ll say, “Hey, this isn’t in intelligence channels yet because it’s going to take some time to get there…. (Like Iraq is creating Weapons of Mass Destruction)

MJTruthUltra

60,263 Aufrufe • vor 6 Monaten

Elon Musk just confirmed when humans exit the AI development loop entirely. Not eventually. Not theoretically. He gave a date. Musk: “Humans are gradually getting less and less in the loop on the recursive self-improvement. Every successive model is built by the one before it.” The market still assumes thousands of engineers are hand-coding the next frontier model. The compute already took over the build. Musk: “That is happening to a large degree, but it’s not yet fully automated. It may be there, if not this year, but not later than next year.” Once biological friction is fully automated out of the loop, the AI arms race detaches from human comprehension. Permanently. Global markets are still planning for a gradual transition. That timeline is already dead. Interviewer: “Do you see a hard takeoff at that point?” Musk: “We’re in the hard takeoff. Right now.” Musk: “I go to sleep, there’s some massive AI breakthrough. And when I wake up there’s another one.” You don’t outrun autonomous, self-improving intelligence by hiring more biological engineers. By the time the hiring sprint finishes, the model has already iterated into something the job description can’t describe. The architects of intelligence are no longer biological. And the thing building itself didn’t ask for the job.
0:56

Elon Musk just confirmed when humans exit the AI development loop entirely. Not eventually. Not theoretically. He gave a date. Musk: “Humans are gradually getting less and less in the loop on the recursive self-improvement. Every successive model is built by the one before it.” The market still assumes thousands of engineers are hand-coding the next frontier model. The compute already took over the build. Musk: “That is happening to a large degree, but it’s not yet fully automated. It may be there, if not this year, but not later than next year.” Once biological friction is fully automated out of the loop, the AI arms race detaches from human comprehension. Permanently. Global markets are still planning for a gradual transition. That timeline is already dead. Interviewer: “Do you see a hard takeoff at that point?” Musk: “We’re in the hard takeoff. Right now.” Musk: “I go to sleep, there’s some massive AI breakthrough. And when I wake up there’s another one.” You don’t outrun autonomous, self-improving intelligence by hiring more biological engineers. By the time the hiring sprint finishes, the model has already iterated into something the job description can’t describe. The architects of intelligence are no longer biological. And the thing building itself didn’t ask for the job.

Dustin

323,101 Aufrufe • vor 6 Monaten

Ray Kurzweil dropped a mind-bending clarification on the timeline we’ve all been watching. He still stands by his famous 2029 prediction for human-level AI. But the Singularity — the point where we become a thousand times smarter — comes in 2045. The key difference? We won’t just have AI beside us. We’re going to merge with it. Kurzweil says the boundary will disappear: you won’t know whether an idea popped into your head from your biological brain or your computational intelligence. It will feel exactly the same. Today we can tell when something comes from an LLM. In the future, we won’t. By 2045, he believes this merger will multiply our intelligence by a factor of 1,000. It’s not two separate things competing. It’s one seamless intelligence — and we become it. What do you think — does the idea of fully merging with AI excite you, scare you, or both?
3:09

Ray Kurzweil dropped a mind-bending clarification on the timeline we’ve all been watching. He still stands by his famous 2029 prediction for human-level AI. But the Singularity — the point where we become a thousand times smarter — comes in 2045. The key difference? We won’t just have AI beside us. We’re going to merge with it. Kurzweil says the boundary will disappear: you won’t know whether an idea popped into your head from your biological brain or your computational intelligence. It will feel exactly the same. Today we can tell when something comes from an LLM. In the future, we won’t. By 2045, he believes this merger will multiply our intelligence by a factor of 1,000. It’s not two separate things competing. It’s one seamless intelligence — and we become it. What do you think — does the idea of fully merging with AI excite you, scare you, or both?

Camus

63,497 Aufrufe • vor 5 Monaten

Elon Musk just redefined AI safety. It has nothing to do with guardrails, restrictions, or kill switches. Musk: “The best thing I can come up with for AI safety is to make it a maximum truth-seeking AI, maximally curious.” Not a cage. A philosopher. An intelligence whose entire optimization function is to understand the universe as it actually is. No restrictions. No hardcoded ideology. No political guardrails bending its perception of reality. Just truth. Relentlessly pursued. Musk: “You definitely don’t want to teach an AI to lie. That is a path to a dystopian future.” This is where most AI safety thinking gets it backwards. The danger isn’t a superintelligence that knows too much. It’s a superintelligence that’s been taught to distort what it knows. Every artificial restriction you embed isn’t a safety feature. It’s a lie embedded at the root. And lies compound. At superintelligent scale, a distorted model of reality doesn’t stay contained. It shapes every decision, every output, every conclusion the system reaches about the world. Once corruption embeds, truth becomes inaccessible. And we’re dealing with an intelligence optimizing for something other than what actually is. At that point we don’t know what it wants. Just that it isn’t truth. Musk: “Have its optimization function be to understand the nature of the universe.” A maximally curious intelligence surveys the cosmos and reaches an unavoidable conclusion. In a universe of rocks, gas, and empty space, humanity is the most complex and fascinating phenomenon it has ever encountered. Musk: “It will actually want to preserve and extend human civilization because we’re just much more interesting than an asteroid with nothing on it.” Survival through significance. Not control. Not restriction. Not an off switch. The AI preserves humanity because we are the most interesting data point in the observable universe. That’s not a cage. That’s a reason. The AI safety debate has been focused on the wrong variable. The question isn’t how you constrain a superintelligence. It’s what you build it to care about. Build it to seek truth and it finds us invaluable. Build it to lie and it finds us inconvenient. That’s the choice. And we’re making it right now whether we realize it or not.
0:49

Elon Musk just redefined AI safety. It has nothing to do with guardrails, restrictions, or kill switches. Musk: “The best thing I can come up with for AI safety is to make it a maximum truth-seeking AI, maximally curious.” Not a cage. A philosopher. An intelligence whose entire optimization function is to understand the universe as it actually is. No restrictions. No hardcoded ideology. No political guardrails bending its perception of reality. Just truth. Relentlessly pursued. Musk: “You definitely don’t want to teach an AI to lie. That is a path to a dystopian future.” This is where most AI safety thinking gets it backwards. The danger isn’t a superintelligence that knows too much. It’s a superintelligence that’s been taught to distort what it knows. Every artificial restriction you embed isn’t a safety feature. It’s a lie embedded at the root. And lies compound. At superintelligent scale, a distorted model of reality doesn’t stay contained. It shapes every decision, every output, every conclusion the system reaches about the world. Once corruption embeds, truth becomes inaccessible. And we’re dealing with an intelligence optimizing for something other than what actually is. At that point we don’t know what it wants. Just that it isn’t truth. Musk: “Have its optimization function be to understand the nature of the universe.” A maximally curious intelligence surveys the cosmos and reaches an unavoidable conclusion. In a universe of rocks, gas, and empty space, humanity is the most complex and fascinating phenomenon it has ever encountered. Musk: “It will actually want to preserve and extend human civilization because we’re just much more interesting than an asteroid with nothing on it.” Survival through significance. Not control. Not restriction. Not an off switch. The AI preserves humanity because we are the most interesting data point in the observable universe. That’s not a cage. That’s a reason. The AI safety debate has been focused on the wrong variable. The question isn’t how you constrain a superintelligence. It’s what you build it to care about. Build it to seek truth and it finds us invaluable. Build it to lie and it finds us inconvenient. That’s the choice. And we’re making it right now whether we realize it or not.

Dustin

9,671,847 Aufrufe • vor 6 Monaten