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Elon warned about the AI energy bottleneck before most people even understood it was coming “I can’t emphasize enough - we need more electricity. However much electricity you think you need, it’s more than that” Now if look at what is happening. AI labs are raising billions, buying tons...

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X Freeze

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1,079,889 次观看 • 2 个月前 •via X (Twitter)

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Elon Musk reveals the real limiting factor for AI is not chips anymore, it’s electricity AI chip production is growing exponentially, but global electricity supply is only increasing 3–4% per year. We’re reaching the point where we produce more chips than we can actually turn on Power is the ultimate bottleneck in 2026. Data centers now face up to 7-year waits for grid connections, leaving many GPUs sitting idle Energy is the new oil of the AI race
0:29

Elon Musk reveals the real limiting factor for AI is not chips anymore, it’s electricity AI chip production is growing exponentially, but global electricity supply is only increasing 3–4% per year. We’re reaching the point where we produce more chips than we can actually turn on Power is the ultimate bottleneck in 2026. Data centers now face up to 7-year waits for grid connections, leaving many GPUs sitting idle Energy is the new oil of the AI race

X Freeze

34,061 次观看 • 4 个月前

ELON WARNS OF THE REAL AI BOTTLENECK Even with the sun, efficiency still matters. AI is hitting physical limits. Why? Everything is going to go electric. AI is going to explode. Electricity output will have to TRIPLE. The grid isn’t ready, and one bad peak could mean a blackout. Utilities need to build power and add batteries, or expect CHAOS. This is an AI is an energy race.️
3:39

ELON WARNS OF THE REAL AI BOTTLENECK Even with the sun, efficiency still matters. AI is hitting physical limits. Why? Everything is going to go electric. AI is going to explode. Electricity output will have to TRIPLE. The grid isn’t ready, and one bad peak could mean a blackout. Utilities need to build power and add batteries, or expect CHAOS. This is an AI is an energy race.️

Mario Nawfal

51,787 次观看 • 6 个月前

Elon Musk says the AI boom hits a WALL this year when we run out of power to run the chips. He says the whole industry is about to learn a hard lesson in hardware. Chip output is exploding, but electricity is nearly flat everywhere outside China. So the two lines cross this year. He says by the end of the year, we will be making more AI chips than we can actually turn on. Millions of them pile up with nowhere to plug in. In his words, the bottleneck for the next year is not chips, it is raw power. Whoever can turn on the most chips fastest wins the race. In the end, the AI race comes down to one thing: Raw electricity. — Elon Musk (.Elon Musk) on Dwarkesh Patel's (.Dwarkesh Patel) podcast
0:35

Elon Musk says the AI boom hits a WALL this year when we run out of power to run the chips. He says the whole industry is about to learn a hard lesson in hardware. Chip output is exploding, but electricity is nearly flat everywhere outside China. So the two lines cross this year. He says by the end of the year, we will be making more AI chips than we can actually turn on. Millions of them pile up with nowhere to plug in. In his words, the bottleneck for the next year is not chips, it is raw power. Whoever can turn on the most chips fastest wins the race. In the end, the AI race comes down to one thing: Raw electricity. — Elon Musk (.Elon Musk) on Dwarkesh Patel's (.Dwarkesh Patel) podcast

Genius Thinking

2,435,077 次观看 • 9 天前

DeepMind CEO Demis Hassabis says the AI bottleneck is already moving from model ideas to physical supply chains. "How much of the restriction at this point is physical? I am talking memory shortage, GPU shortage, and electricity." Demis: "That is constraining a lot of the deployment for sure. We see so much more demand for our models - Gemini and the other models that we have - than we can possibly serve." Then the less obvious part: "It does constrain a little bit the research, because you need a lot of chips to be able to experiment on new ideas at big enough scale that you can actually see if they are going to work." And on memory: "The whole supply chain is kind of strained... It still in the end actually comes down to a few suppliers of a few of the key components. Anywhere where there is some kind of constraint on the capacity, there is a sort of choke point." Important framing: The next AI race is not just who has the best model architecture. It is who can secure memory, chips, power, suppliers, and enough experimental capacity to find the next breakthrough before everyone else.
1:09

DeepMind CEO Demis Hassabis says the AI bottleneck is already moving from model ideas to physical supply chains. "How much of the restriction at this point is physical? I am talking memory shortage, GPU shortage, and electricity." Demis: "That is constraining a lot of the deployment for sure. We see so much more demand for our models - Gemini and the other models that we have - than we can possibly serve." Then the less obvious part: "It does constrain a little bit the research, because you need a lot of chips to be able to experiment on new ideas at big enough scale that you can actually see if they are going to work." And on memory: "The whole supply chain is kind of strained... It still in the end actually comes down to a few suppliers of a few of the key components. Anywhere where there is some kind of constraint on the capacity, there is a sort of choke point." Important framing: The next AI race is not just who has the best model architecture. It is who can secure memory, chips, power, suppliers, and enough experimental capacity to find the next breakthrough before everyone else.

Karl Mehta

25,716 次观看 • 2 个月前

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”
4:51

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”

DogeDesigner

245,139 次观看 • 1 个月前

.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."
1:33

.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."

a16z

19,416 次观看 • 4 个月前

BlackRock's Larry Fink just reframed the entire AI/infrastructure race. Everyone's talking about chips, energy, and data centers. But the real bottleneck? The workers who will actually build and maintain all of it. You can have all the capital in the world. If you can't find an electrician or a plumber, nothing gets built. No wonder Uber's co-founder is saying plumbers are the next LeBron James. No wonder Elon is pushing Optimus harder than ever. Real question: do you think China overtakes the US because of this?
0:29

BlackRock's Larry Fink just reframed the entire AI/infrastructure race. Everyone's talking about chips, energy, and data centers. But the real bottleneck? The workers who will actually build and maintain all of it. You can have all the capital in the world. If you can't find an electrician or a plumber, nothing gets built. No wonder Uber's co-founder is saying plumbers are the next LeBron James. No wonder Elon is pushing Optimus harder than ever. Real question: do you think China overtakes the US because of this?

Lark Davis

24,159 次观看 • 5 个月前

BLACKROCK CEO LARRY FINK: WHY CHINA IS WINNING THE AI POWER RACE He says the AI race will come down to who can build enough electricity fast enough: - China is building 100 gigawatts of nuclear and close to 100 gigawatts of solar - Fink says China is getting set up for the AI revolution and the power it needs - He says moratoriums are not the answer, the focus should be delivering more power quickly without raising electricity prices
0:37

BLACKROCK CEO LARRY FINK: WHY CHINA IS WINNING THE AI POWER RACE He says the AI race will come down to who can build enough electricity fast enough: - China is building 100 gigawatts of nuclear and close to 100 gigawatts of solar - Fink says China is getting set up for the AI revolution and the power it needs - He says moratoriums are not the answer, the focus should be delivering more power quickly without raising electricity prices

Ark Invest Tracker

95,625 次观看 • 1 个月前

"I think that xAI is severely underrated" "It just kind of blows my mind that people don’t understand how fast the company is moving." "xAI is gonna shock people with the scale that it gets to quickly." "With xAI, they’ve been building the biggest coherent training clusters in the world, & they’re just not really focused on monetizing them right now." Shaun Maguire (Shaun Maguire), Partner Sequoia Capital Elon Musk (Elon Musk) . . . "I think that xAI is severely underrated and it makes sense—their revenue scale compared to OpenAI, Anthropic, Google is obviously much smaller—but it just kind of blows my mind that people don’t understand how fast the company is moving. Yeah. And you just have to look at the derivatives of progress, and then also just look at the bottlenecks. I believe the bottleneck at least is gonna be power. And even if you have the best model in the world, if you can only deliver it to 1% of the market or 2% of the market demand, you’re heavily limited in your growth rate and expansion opportunities. I just think xAI is gonna—like Elon’s the best in the world at atoms, and I think atoms are gonna be a decisive factor in the AI race. And the way Elon builds companies is different than other people. He builds the way I describe it is: he builds up potential energy, and then he converts that potential energy into kinetic energy. With xAI, they’ve been building the biggest coherent training clusters in the world, and they’re just not really focused on monetizing them right now. And it’s kind of crazy to me that people don’t understand the pattern yet. And it’s not to say that I’m bearish on the other foundation model companies. I just think xAI is gonna shock people with the scale that it gets to quickly. But I’m bullish on all of them. Like, I’m bullish on The Boring Company, I’m bullish on Neuralink. Tesla’s a public company so I have no comment on Tesla. But literally insanely bullish on all of them."
1:57

"I think that xAI is severely underrated" "It just kind of blows my mind that people don’t understand how fast the company is moving." "xAI is gonna shock people with the scale that it gets to quickly." "With xAI, they’ve been building the biggest coherent training clusters in the world, & they’re just not really focused on monetizing them right now." Shaun Maguire (Shaun Maguire), Partner Sequoia Capital Elon Musk (Elon Musk) . . . "I think that xAI is severely underrated and it makes sense—their revenue scale compared to OpenAI, Anthropic, Google is obviously much smaller—but it just kind of blows my mind that people don’t understand how fast the company is moving. Yeah. And you just have to look at the derivatives of progress, and then also just look at the bottlenecks. I believe the bottleneck at least is gonna be power. And even if you have the best model in the world, if you can only deliver it to 1% of the market or 2% of the market demand, you’re heavily limited in your growth rate and expansion opportunities. I just think xAI is gonna—like Elon’s the best in the world at atoms, and I think atoms are gonna be a decisive factor in the AI race. And the way Elon builds companies is different than other people. He builds the way I describe it is: he builds up potential energy, and then he converts that potential energy into kinetic energy. With xAI, they’ve been building the biggest coherent training clusters in the world, and they’re just not really focused on monetizing them right now. And it’s kind of crazy to me that people don’t understand the pattern yet. And it’s not to say that I’m bearish on the other foundation model companies. I just think xAI is gonna shock people with the scale that it gets to quickly. But I’m bullish on all of them. Like, I’m bullish on The Boring Company, I’m bullish on Neuralink. Tesla’s a public company so I have no comment on Tesla. But literally insanely bullish on all of them."

Molly O’Shea

197,995 次观看 • 7 个月前

“I think next decade is going to be all about energy. Even Sam Altman from OpenAI talked about the evolution of AI — algorithms run on chips, but ultimately the chips need electricity. The algorithms will get better and better, and chips will get cheaper and cheaper. But at the end of the day, you have to get the electrons, and those electrons have a fundamental price. Even the AI competition between companies and countries is ultimately going to come back to electricity production. So next decade is going to be all about power — AI, manufacturing, the economy — they all come back to energy.” Scott Nolan
9:12

“I think next decade is going to be all about energy. Even Sam Altman from OpenAI talked about the evolution of AI — algorithms run on chips, but ultimately the chips need electricity. The algorithms will get better and better, and chips will get cheaper and cheaper. But at the end of the day, you have to get the electrons, and those electrons have a fundamental price. Even the AI competition between companies and countries is ultimately going to come back to electricity production. So next decade is going to be all about power — AI, manufacturing, the economy — they all come back to energy.” Scott Nolan

Shawn Ryan

118,797 次观看 • 1 年前

Elon Musk: The real bottleneck for AI is not chips, it is electricity. “If you look at electrical output outside of China, everywhere outside of China, it’s more or less flat. It’s maybe a slight increase, but pretty close flat. China has a rapid increase in electrical output. But if you’re putting data centers anywhere except China, where are you going to get your electricity? Especially as you scale. The output of chips is growing pretty much exponentially, but the output of electricity is flat. So how are you going to turn the chips on? Magical power sources? Magical electricity fairies? It’s harder to build on land than it is in space. It’s harder to scale on the ground than it is to scale in space. But also, you’re going to get about 5 times the effectiveness of solar panels in space versus the ground, and you don’t need batteries. I almost wore my other shirt, which says it’s always sunny in space because you don’t have a day-night cycle or seasonality, clouds, or an atmosphere in space. The atmosphere alone results in about a 30% loss of energy. So, any given solar panels can do about 5 times more power in space than on the ground, and you avoid the cost of having batteries to carry you through the night. So it’s actually much cheaper to do it in space. And my prediction is that it will be by far the cheapest place to put AI. It will be space in 36 months or less, maybe 30 months.” Dwarkesh Podcast, February 5, 2026.
2:19

Elon Musk: The real bottleneck for AI is not chips, it is electricity. “If you look at electrical output outside of China, everywhere outside of China, it’s more or less flat. It’s maybe a slight increase, but pretty close flat. China has a rapid increase in electrical output. But if you’re putting data centers anywhere except China, where are you going to get your electricity? Especially as you scale. The output of chips is growing pretty much exponentially, but the output of electricity is flat. So how are you going to turn the chips on? Magical power sources? Magical electricity fairies? It’s harder to build on land than it is in space. It’s harder to scale on the ground than it is to scale in space. But also, you’re going to get about 5 times the effectiveness of solar panels in space versus the ground, and you don’t need batteries. I almost wore my other shirt, which says it’s always sunny in space because you don’t have a day-night cycle or seasonality, clouds, or an atmosphere in space. The atmosphere alone results in about a 30% loss of energy. So, any given solar panels can do about 5 times more power in space than on the ground, and you avoid the cost of having batteries to carry you through the night. So it’s actually much cheaper to do it in space. And my prediction is that it will be by far the cheapest place to put AI. It will be space in 36 months or less, maybe 30 months.” Dwarkesh Podcast, February 5, 2026.

ELON CLIPS

69,855 次观看 • 1 个月前

$NVDA networking is now running at a $60B+ annualized pace, growing ~200% YoY and nearly the size of $AVGO total 2025 revenue. As AI clusters scale, the bottleneck becomes how fast GPUs, CPUs, memory and storage move data together because even the best chips underperform if the network cannot keep up. This is why Nvidia is selling the full AI factory stack.
1:25

$NVDA networking is now running at a $60B+ annualized pace, growing ~200% YoY and nearly the size of $AVGO total 2025 revenue. As AI clusters scale, the bottleneck becomes how fast GPUs, CPUs, memory and storage move data together because even the best chips underperform if the network cannot keep up. This is why Nvidia is selling the full AI factory stack.

Shay Boloor

61,104 次观看 • 3 个月前

“Elon’s the best in the world at atoms.” “Atoms are going to be a decisive factor in the AI race.” “I think xAI is severely underrated.” Shaun Maguire explains why Elon Musk and xAI will win: “It blows my mind that people don’t understand how fast the company is moving.” “I believe the bottleneck—at least for inference—is going to be power.” “Even if you have the best model in the world, if you can only deliver it to 1% of the market demand—you’re heavily limited in your growth rate and expansion.” “With xAI, they’ve been building the biggest coherent training clusters in the world. They’re just not really focused on monetizing them right now.” “It’s kinda crazy people don’t understand the pattern yet.” “I think xAI is going to shock people with the scale it gets to quickly.”
2:29

“Elon’s the best in the world at atoms.” “Atoms are going to be a decisive factor in the AI race.” “I think xAI is severely underrated.” Shaun Maguire explains why Elon Musk and xAI will win: “It blows my mind that people don’t understand how fast the company is moving.” “I believe the bottleneck—at least for inference—is going to be power.” “Even if you have the best model in the world, if you can only deliver it to 1% of the market demand—you’re heavily limited in your growth rate and expansion.” “With xAI, they’ve been building the biggest coherent training clusters in the world. They’re just not really focused on monetizing them right now.” “It’s kinda crazy people don’t understand the pattern yet.” “I think xAI is going to shock people with the scale it gets to quickly.”

sourcery

181,463 次观看 • 5 个月前

Elon Musk just exposed the most catastrophic energy blindspot in the entire AI arms race. The West is still debating which twigs to burn. China is capturing the sun. Musk: “People just don’t understand how solar is everything. Compared to the sun, all other energy sources are like cavemen throwing some twigs into a fire.” Every natural gas plant. Every nuclear reactor. Every experimental fusion project being debated in Washington right now. Twigs. Musk: “We have a giant free fusion reactor that shows up every day. It’s farcical for us to create little fusion reactors.” And then he gave the most clarifying statistic in the entire energy debate. Musk: “The sun is over 99.8% of all mass in the solar system. Jupiter is around 0.1%. So even if you burnt Jupiter, the energy produced by the sun would still round up to 100%.” Musk: “And then if you teleported three more Jupiters into our solar system and burnt them too, it would still round up.” The sun is not an energy source. It is the only energy source. Everything else is rounding error. China already knows this. While American tech executives beg for permits to build natural gas plants, China crossed 1,000 gigawatts of installed solar capacity in 2025. More than the rest of the world combined. They are not holding summits about it. They are not commissioning reports about it. They are building it. Harvesting the free fusion reactor that arrives every morning at zero cost and feeding it directly into their AI data centers. The AI race is not an algorithm race. It is an electro-industrial race. You cannot build superintelligence without infinite compute. You cannot have infinite compute without infinite energy. And right now, the United States is losing the energy war while holding committee meetings about which twigs to burn next. China built the energy-compute flywheel. Cheap, scalable, infinite solar power feeding AI models at a fraction of the cost. Compounding every single day. The nation that captures the sun’s output will hold a permanent monopoly on global intelligence. The nation that doesn’t will spend the next decade trying to understand how it lost. Everyone else gets left holding the twigs.
1:39

Elon Musk just exposed the most catastrophic energy blindspot in the entire AI arms race. The West is still debating which twigs to burn. China is capturing the sun. Musk: “People just don’t understand how solar is everything. Compared to the sun, all other energy sources are like cavemen throwing some twigs into a fire.” Every natural gas plant. Every nuclear reactor. Every experimental fusion project being debated in Washington right now. Twigs. Musk: “We have a giant free fusion reactor that shows up every day. It’s farcical for us to create little fusion reactors.” And then he gave the most clarifying statistic in the entire energy debate. Musk: “The sun is over 99.8% of all mass in the solar system. Jupiter is around 0.1%. So even if you burnt Jupiter, the energy produced by the sun would still round up to 100%.” Musk: “And then if you teleported three more Jupiters into our solar system and burnt them too, it would still round up.” The sun is not an energy source. It is the only energy source. Everything else is rounding error. China already knows this. While American tech executives beg for permits to build natural gas plants, China crossed 1,000 gigawatts of installed solar capacity in 2025. More than the rest of the world combined. They are not holding summits about it. They are not commissioning reports about it. They are building it. Harvesting the free fusion reactor that arrives every morning at zero cost and feeding it directly into their AI data centers. The AI race is not an algorithm race. It is an electro-industrial race. You cannot build superintelligence without infinite compute. You cannot have infinite compute without infinite energy. And right now, the United States is losing the energy war while holding committee meetings about which twigs to burn next. China built the energy-compute flywheel. Cheap, scalable, infinite solar power feeding AI models at a fraction of the cost. Compounding every single day. The nation that captures the sun’s output will hold a permanent monopoly on global intelligence. The nation that doesn’t will spend the next decade trying to understand how it lost. Everyone else gets left holding the twigs.

Dustin

47,084 次观看 • 5 个月前

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book *Scary Smart* now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.
1:29

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book *Scary Smart* now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Steven Bartlett

27,882 次观看 • 3 个月前

ELON: "WE'LL HAVE MORE AI CHIPS THAN POWER TO RUN THEM" "The limiting factor for AI deployment is fundamentally electrical power. It's energy. We're seeing the rate of AI chip production increase exponentially, but the rate of electricity being brought online is 5% a year, max. It's clear that we're very soon, maybe even later this year, we'll be producing more chips than we can turn on." Source: Elon Musk
0:30

ELON: "WE'LL HAVE MORE AI CHIPS THAN POWER TO RUN THEM" "The limiting factor for AI deployment is fundamentally electrical power. It's energy. We're seeing the rate of AI chip production increase exponentially, but the rate of electricity being brought online is 5% a year, max. It's clear that we're very soon, maybe even later this year, we'll be producing more chips than we can turn on." Source: Elon Musk

Mario Nawfal

40,874 次观看 • 7 个月前

They taught you electricity was just wires and connections. Nothing more. But there was a hidden power... One they never told you about. Tesla understood it. He exposed it. And that's why they silenced him. Electricity was never just energy. It was control. It was consciousness. Something never meant for the masses. What the awakened know isn't in textbooks. It's not tauaht in schools And you'll never see it on the news. The truth is there. But first, you have to learn how to see it. Nothing is what it seems. Do you dare to question what you have been taught? In "The Truth of the World,"
2:25

They taught you electricity was just wires and connections. Nothing more. But there was a hidden power... One they never told you about. Tesla understood it. He exposed it. And that's why they silenced him. Electricity was never just energy. It was control. It was consciousness. Something never meant for the masses. What the awakened know isn't in textbooks. It's not tauaht in schools And you'll never see it on the news. The truth is there. But first, you have to learn how to see it. Nothing is what it seems. Do you dare to question what you have been taught? In "The Truth of the World,"

Kyle L

148,198 次观看 • 6 个月前