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Elon Musk explaining why we’ll need solar-powered AI satellites in space within the next five years. Not because it sounds futuristic, but because Earth simply can’t generate the energy needed for what’s coming. AI alone could require 300 gigawatts of power every year To put that into perspective, that’s... show more

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33,351 次观看 • 8 个月前 •via X (Twitter)

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ELON MUSK: Kardashev-Scale civilization will need Moon Bases and Mass Drivers. To reach a Kardashev-scale future for AI, humanity need space-based infrastructure including Moon bases, mass drivers, and large-scale solar power systems. Future AI may require energy at a scale far beyond what Earth can easily support. Solar-powered AI satellites launched from Earth could potentially generate terawatt-level power, but would require around 10 million tons of payload to orbit every year. That level of infrastructure could produce around twice the annual electricity use of the United States for AI power. The idea is not limited by physics; the real challenge is building at a massive enough scale. Lunar infrastructure could unlock petawatt-scale solar-powered AI, making Earth’s current economy look small by comparison.

ELON MUSK: Kardashev-Scale civilization will need Moon Bases and Mass Drivers. To reach a Kardashev-scale future for AI, humanity need space-based infrastructure including Moon bases, mass drivers, and large-scale solar power systems. Future AI may require energy at a scale far beyond what Earth can easily support. Solar-powered AI satellites launched from Earth could potentially generate terawatt-level power, but would require around 10 million tons of payload to orbit every year. That level of infrastructure could produce around twice the annual electricity use of the United States for AI power. The idea is not limited by physics; the real challenge is building at a massive enough scale. Lunar infrastructure could unlock petawatt-scale solar-powered AI, making Earth’s current economy look small by comparison.

DogeDesigner

17,792 次观看 • 3 个月前

Elon Musk: Why a 1 Terawatt AI is impossible on Earth?? "My estimate is that the cost-effectiveness of AI in space will be overwhelmingly better than AI on the ground. So, long before you exhaust potential energy sources on Earth, meaning perhaps in the four or five-year timeframe, the lowest cost way to do AI compute will be with solar-powered AI satellites. I'd say not more than five years from now Just look at the supercomputers we're building together. Let's say each rack is two tons; out of that two tons, 1.95 of it is probably for cooling. Just imagine how tiny that little supercomputer is Electricity generation is already becoming a challenge. If you start doing any kind of scaling for both electricity generation and cooling, you realize space is incredibly compelling Let's say you wanted to do 200 or 300 gigawatts per year of AI compute. It's very difficult to do that on Earth. The US average electricity usage, last time I checked, was around 460 gigawatts per year. So, if you're doing 300 gigawatts a year, that would be like two-thirds of US electricity production per year. There's no way you're building power plants at that level And then if you take it up to a Terawatt per year, impossible. You have to do that in space In space, you've got continuous solar. You don't need batteries because it's always sunny. The solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative"

Elon Musk: Why a 1 Terawatt AI is impossible on Earth?? "My estimate is that the cost-effectiveness of AI in space will be overwhelmingly better than AI on the ground. So, long before you exhaust potential energy sources on Earth, meaning perhaps in the four or five-year timeframe, the lowest cost way to do AI compute will be with solar-powered AI satellites. I'd say not more than five years from now Just look at the supercomputers we're building together. Let's say each rack is two tons; out of that two tons, 1.95 of it is probably for cooling. Just imagine how tiny that little supercomputer is Electricity generation is already becoming a challenge. If you start doing any kind of scaling for both electricity generation and cooling, you realize space is incredibly compelling Let's say you wanted to do 200 or 300 gigawatts per year of AI compute. It's very difficult to do that on Earth. The US average electricity usage, last time I checked, was around 460 gigawatts per year. So, if you're doing 300 gigawatts a year, that would be like two-thirds of US electricity production per year. There's no way you're building power plants at that level And then if you take it up to a Terawatt per year, impossible. You have to do that in space In space, you've got continuous solar. You don't need batteries because it's always sunny. The solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative"

X Freeze

446,449 次观看 • 9 个月前

Elon Musk "Sun is the biggest source of energy. Within few years, we will be launching solar powered AI satellites because the space is really the source of immense power" - Elon Musk

Elon Musk "Sun is the biggest source of energy. Within few years, we will be launching solar powered AI satellites because the space is really the source of immense power" - Elon Musk

Aryan

11,620 次观看 • 2 个月前

ELON MUSK: "I do see a path to 100 gigawatts a year of AI powered space solar satellites. If you do a million tons of payload to orbit per year with 100 kilowatts per ton, that's 100 gigawatts of solar powered AI satellites per year. There's a path to get to a terawatt per year, then you want to make those AI satellites on the moon and use a mass driver. We should scale solar substantially in the US. Tesla and SpaceX are scaling solar, and I encourage others to do so as well."

ELON MUSK: "I do see a path to 100 gigawatts a year of AI powered space solar satellites. If you do a million tons of payload to orbit per year with 100 kilowatts per ton, that's 100 gigawatts of solar powered AI satellites per year. There's a path to get to a terawatt per year, then you want to make those AI satellites on the moon and use a mass driver. We should scale solar substantially in the US. Tesla and SpaceX are scaling solar, and I encourage others to do so as well."

DogeDesigner

975,836 次观看 • 6 个月前

Think bigger than data centers. Much bigger. Elon Musk just unveiled SpaceXAI's first AI satellite, a spacecraft designed specifically for running AI workloads in orbit. The satellite features 150 kW of solar power, a 70-meter wingspan and massive radiators to dump heat into space, solving one of the biggest challenges in scaling AI. But this is just the beginning. Musk says truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, meaning millions of tons of infrastructure in orbit. The long-term vision isn't AI running in data centers. It's AI running in space at a scale that's impossible on Earth. Elon Musk

Think bigger than data centers. Much bigger. Elon Musk just unveiled SpaceXAI's first AI satellite, a spacecraft designed specifically for running AI workloads in orbit. The satellite features 150 kW of solar power, a 70-meter wingspan and massive radiators to dump heat into space, solving one of the biggest challenges in scaling AI. But this is just the beginning. Musk says truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, meaning millions of tons of infrastructure in orbit. The long-term vision isn't AI running in data centers. It's AI running in space at a scale that's impossible on Earth. Elon Musk

Tesla Owners Silicon Valley

19,203 次观看 • 2 个月前

This statement mind boggles Ron Baron. Elon is talking about putting 25% of U.S.’s electricity output of solar powered AI satellites into orbit. Best believe SpaceX’s Starlink and Tesla’s energy business is going to benefit materially from this. “We see a path to putting 100 gigawatts per year of solar powered AI satellites into orbit. And having this be actually the lowest cost rate to power and operate AI at a very large scale. For reference, the U.S. consumes ~460 gigawatts on average per year. Roughly a quarter of the U.S. electricity output. We have a plan mapped out to do it. It gets crazy.”

This statement mind boggles Ron Baron. Elon is talking about putting 25% of U.S.’s electricity output of solar powered AI satellites into orbit. Best believe SpaceX’s Starlink and Tesla’s energy business is going to benefit materially from this. “We see a path to putting 100 gigawatts per year of solar powered AI satellites into orbit. And having this be actually the lowest cost rate to power and operate AI at a very large scale. For reference, the U.S. consumes ~460 gigawatts on average per year. Roughly a quarter of the U.S. electricity output. We have a plan mapped out to do it. It gets crazy.”

Teslaconomics

9,520,648 次观看 • 9 个月前

$This is the next big plan for SpaceX: AI Data Centers in Space. • To achieve even a small fraction of a Kardashev Type II civilization (harnessing the full energy of the Sun), AI compute will require orders of magnitude more energy than Earth can ever provide. • Earth only intercepts about 1–2 billionths of the Sun’s total energy output. • Massive-scale AI (e.g., a million times more energy than Earth could produce) can only be powered by capturing far more solar energy in space. • Space-based solar-powered AI satellites/compute clusters are therefore inevitable. • In space, sunlight is continuous (no night, no clouds, no atmosphere), so no batteries are needed. • Solar panels in space can be extremely lightweight and cheap (no glass, no storm-proof framing required). • Cooling in space is dramatically easier and simpler: just radiate heat directly into the cold vacuum — no water, no fans, no liquids, no massive cooling infrastructure. • Most of the mass/volume of current supercomputer racks (e.g., GB300) is cooling hardware; in space that largely disappears. • The cost-effectiveness of electricity and compute in space will soon be overwhelmingly better than on Earth. • Elon’s Prediction: within ~5 years (by ~2030), the lowest-cost way to run large-scale AI will be solar-powered satellites in space. • A terawatt/year of AI compute is essentially impossible on Earth with any realistic build-out of power plants. • Scaling both power generation and cooling on Earth at the required rate is physically and politically unfeasible.$

This is the next big plan for SpaceX: AI Data Centers in Space. • To achieve even a small fraction of a Kardashev Type II civilization (harnessing the full energy of the Sun), AI compute will require orders of magnitude more energy than Earth can ever provide. • Earth only intercepts about 1–2 billionths of the Sun’s total energy output. • Massive-scale AI (e.g., a million times more energy than Earth could produce) can only be powered by capturing far more solar energy in space. • Space-based solar-powered AI satellites/compute clusters are therefore inevitable. • In space, sunlight is continuous (no night, no clouds, no atmosphere), so no batteries are needed. • Solar panels in space can be extremely lightweight and cheap (no glass, no storm-proof framing required). • Cooling in space is dramatically easier and simpler: just radiate heat directly into the cold vacuum — no water, no fans, no liquids, no massive cooling infrastructure. • Most of the mass/volume of current supercomputer racks (e.g., GB300) is cooling hardware; in space that largely disappears. • The cost-effectiveness of electricity and compute in space will soon be overwhelmingly better than on Earth. • Elon’s Prediction: within ~5 years (by ~2030), the lowest-cost way to run large-scale AI will be solar-powered satellites in space. • A terawatt/year of AI compute is essentially impossible on Earth with any realistic build-out of power plants. • Scaling both power generation and cooling on Earth at the required rate is physically and politically unfeasible.

Nic Cruz Patane

49,035 次观看 • 8 个月前

The cheapest place to put AI will be space. Elon Musk says solar panels in space produce 5 times more power than on the ground. No atmosphere, no clouds, no day-night cycle. No batteries needed. And critically, no permits. Scaling energy on Earth means fighting land use regulations, environmental reviews, and grid interconnection queues that take years. Space has none of that. The math gets wild fast. SpaceX could launch hundreds of gigawatts of AI compute into orbit annually. That's more compute than currently exists on Earth. Ten thousand Starship launches per year. One launch every hour. And you only need 20 to 30 ships to sustain that cadence. Earth gets about half a billionth of the Sun's total energy output. A millionth of the Sun's energy is 100,000 times all of civilization's current electricity production. The AI race is not a software race. It is a power plant race. And software people are about to get a very hard lesson in hardware.

The cheapest place to put AI will be space. Elon Musk says solar panels in space produce 5 times more power than on the ground. No atmosphere, no clouds, no day-night cycle. No batteries needed. And critically, no permits. Scaling energy on Earth means fighting land use regulations, environmental reviews, and grid interconnection queues that take years. Space has none of that. The math gets wild fast. SpaceX could launch hundreds of gigawatts of AI compute into orbit annually. That's more compute than currently exists on Earth. Ten thousand Starship launches per year. One launch every hour. And you only need 20 to 30 ships to sustain that cadence. Earth gets about half a billionth of the Sun's total energy output. A millionth of the Sun's energy is 100,000 times all of civilization's current electricity production. The AI race is not a software race. It is a power plant race. And software people are about to get a very hard lesson in hardware.

Shruti

11,700 次观看 • 2 个月前

ELON MUSK: "The most obvious one is actually solar powered AI satellites, sort of to move the AI to orbit and essentially deep space over time, because there you can actually access over a billion times more energy from the sun in deep space than you can on Earth. The scaling to Kardashev, which is using some non trivial amount of energy from the sun. You kind of have to do space solar power. Like to even use a millionth of a percent of the sun's energy you you really have to be have your solar power in deep space."

ELON MUSK: "The most obvious one is actually solar powered AI satellites, sort of to move the AI to orbit and essentially deep space over time, because there you can actually access over a billion times more energy from the sun in deep space than you can on Earth. The scaling to Kardashev, which is using some non trivial amount of energy from the sun. You kind of have to do space solar power. Like to even use a millionth of a percent of the sun's energy you you really have to be have your solar power in deep space."

DogeDesigner

266,777 次观看 • 9 个月前

Elon Musk announced a chip factory 10 times the size of Tesla's Gigafactory. The goal is to produce enough AI compute to equal twice the entire electricity consumption of the United States. He called it the Terafab. Here is the number that stopped me cold. The entire global AI chip industry right now is on track to hit around 100 gigawatts per year of compute. Every Nvidia GPU, every Google TPU, every chip from every company on earth combined. 100 gigawatts. Musk wants one factory to produce a terawatt per year. A terawatt is 1,000 gigawatts. Ten times the output of the entire global industry. From a single building. To put the scale in physical terms, the Terafab would need to be around 100 million square feet. You would need Starship point to point transport just to get from one end to the other. But the reason for the scale is not ambition for its own sake. To launch meaningful AI compute into space, you need a billion chips per year running at a kilowatt each. That is not a number the current industry can produce. The Terafab is the only way to get there. The timeline he put out: a gigawatt of space AI compute annualized by end of next year. Then 10x per year from there. 10 gigawatts by year two. 100 gigawatts by year three. A terawatt beyond that. Most people think orbital data centers are a decade away. Musk is building the factory to make them possible by next year.

Elon Musk announced a chip factory 10 times the size of Tesla's Gigafactory. The goal is to produce enough AI compute to equal twice the entire electricity consumption of the United States. He called it the Terafab. Here is the number that stopped me cold. The entire global AI chip industry right now is on track to hit around 100 gigawatts per year of compute. Every Nvidia GPU, every Google TPU, every chip from every company on earth combined. 100 gigawatts. Musk wants one factory to produce a terawatt per year. A terawatt is 1,000 gigawatts. Ten times the output of the entire global industry. From a single building. To put the scale in physical terms, the Terafab would need to be around 100 million square feet. You would need Starship point to point transport just to get from one end to the other. But the reason for the scale is not ambition for its own sake. To launch meaningful AI compute into space, you need a billion chips per year running at a kilowatt each. That is not a number the current industry can produce. The Terafab is the only way to get there. The timeline he put out: a gigawatt of space AI compute annualized by end of next year. Then 10x per year from there. 10 gigawatts by year two. 100 gigawatts by year three. A terawatt beyond that. Most people think orbital data centers are a decade away. Musk is building the factory to make them possible by next year.

Ihtesham Ali

317,824 次观看 • 2 个月前

🇺🇸 Elon says Space X will launch solar AI satellites powered by the sun "The sun rounds up to 100% of all energy. Even if you were to burn Jupiter in a thermonuclear reactor, the amount of energy produced by the sun would still run up to 100%. One of the things we'll be doing with SpaceX within a few years is launching solar-powered AI satellites. The space is really the source of immense power." Source: Reuters, Elon Musk, SpaceX

🇺🇸 Elon says Space X will launch solar AI satellites powered by the sun "The sun rounds up to 100% of all energy. Even if you were to burn Jupiter in a thermonuclear reactor, the amount of energy produced by the sun would still run up to 100%. One of the things we'll be doing with SpaceX within a few years is launching solar-powered AI satellites. The space is really the source of immense power." Source: Reuters, Elon Musk, SpaceX

Mario Nawfal

30,426 次观看 • 7 个月前

Elon Musk just confirmed the most INSANE IPO in history. SpaceX is going public in 2026. $1.5 TRILLION valuation. Raising $30+ billion. That's the biggest IPO ever made. Beating Saudi Aramco's $29 billion record from 2019. But here's what everyone's missing: This isn't about space tourism or Mars missions. Elon is literally about to win the entire AI race. And 99% of people have no idea how... Here's the problem killing every AI company right now: POWER. Oracle just reported earnings. They burned through $12 BILLION in one quarter building data centers. Their free cash flow? NEGATIVE $10 billion. Revenue missed estimates. Stock crashed 11%. Microsoft, Amazon, Google all scrambling to find enough electricity for AI training. The brutal math: The US generates 490 gigawatts of total power. AI is projected to need 123 gigawatts by 2035. That's a QUARTER of the entire electrical grid. Just for artificial intelligence. Goldman Sachs says AI energy demand could jump 165% by 2030. There is literally not enough power on Earth to run AI at the scale these companies are promising. Every data center needs massive cooling systems. Billions of gallons of water per year. Insane energy costs. And the infrastructure can't keep up. Elon's solution? Stop building on Earth entirely. SpaceX is building data centers in SPACE. Not a concept. Not 10 years out. Literally starting in 2026. They're upgrading Starlink V3 satellites to carry AI computing chips. Each satellite gets 24/7 solar power. No clouds. No night. No weather disruptions. No grid bottlenecks. And the insane part is that Starship can deliver 300 to 500 gigawatts of solar-powered AI satellites into orbit every single year. At 300 gigawatts per year, the AI computing power in space would exceed the entire U.S. economy's total electricity consumption within two years. Just from satellites. Processing in orbit. While Oracle is begging banks for loans to finish data centers and OpenAI is stuck in circular funding arrangements with Microsoft, Elon already owns everything: The rockets. The satellites. The launch infrastructure. The AI company (xAI). He doesn't need to ask utilities for permission. Doesn't need grid approvals from local governments. Doesn't need to build nuclear plants or wait for clean energy. He just launches. And everyone else is scrambling to catch up: Jeff Bezos sees it. Blue Origin announced they're building their own orbital data centers. Google just launched "Project Suncatcher" with plans to deploy AI satellites by 2027. Eric Schmidt, the former CEO of Google, literally BOUGHT an entire rocket company (Relativity Space) just to compete in this space. But they're all 3+ years behind Elon. SpaceX already has 6,000+ Starlink satellites in orbit. The infrastructure is built. The $30 billion from the IPO? Going straight into scaling orbital compute. SpaceX revenue is jumping from $15 billion in 2025 to $24 billion in 2026. Most of that from Starlink. Now add space-based AI infrastructure on top. Here's why this matters: Whoever controls orbital computing controls the AI revolution. And there's only ONE company on Earth with fully reusable rockets that can launch at the scale required. Jensen Huang, Nvidia's CEO, called space data centers "a dream." Translation: Nvidia is screwed if Elon actually pulls this off. Because if SpaceX succeeds, every AI company on the planet becomes Elon's customer. OpenAI needs compute? Running on SpaceX satellites. Google needs more capacity? Renting orbital infrastructure. Microsoft needs power? Paying SpaceX for launch and compute access. Elon won't just be in the AI race. He'll own the entire track everyone else is running on. The $1.5 trillion valuation sounds crazy until you realize what he's actually building. It's not a rocket company. It's the infrastructure layer for the next 50 years of computing. People calling it overvalued have no idea what's coming.

Elon Musk just confirmed the most INSANE IPO in history. SpaceX is going public in 2026. $1.5 TRILLION valuation. Raising $30+ billion. That's the biggest IPO ever made. Beating Saudi Aramco's $29 billion record from 2019. But here's what everyone's missing: This isn't about space tourism or Mars missions. Elon is literally about to win the entire AI race. And 99% of people have no idea how... Here's the problem killing every AI company right now: POWER. Oracle just reported earnings. They burned through $12 BILLION in one quarter building data centers. Their free cash flow? NEGATIVE $10 billion. Revenue missed estimates. Stock crashed 11%. Microsoft, Amazon, Google all scrambling to find enough electricity for AI training. The brutal math: The US generates 490 gigawatts of total power. AI is projected to need 123 gigawatts by 2035. That's a QUARTER of the entire electrical grid. Just for artificial intelligence. Goldman Sachs says AI energy demand could jump 165% by 2030. There is literally not enough power on Earth to run AI at the scale these companies are promising. Every data center needs massive cooling systems. Billions of gallons of water per year. Insane energy costs. And the infrastructure can't keep up. Elon's solution? Stop building on Earth entirely. SpaceX is building data centers in SPACE. Not a concept. Not 10 years out. Literally starting in 2026. They're upgrading Starlink V3 satellites to carry AI computing chips. Each satellite gets 24/7 solar power. No clouds. No night. No weather disruptions. No grid bottlenecks. And the insane part is that Starship can deliver 300 to 500 gigawatts of solar-powered AI satellites into orbit every single year. At 300 gigawatts per year, the AI computing power in space would exceed the entire U.S. economy's total electricity consumption within two years. Just from satellites. Processing in orbit. While Oracle is begging banks for loans to finish data centers and OpenAI is stuck in circular funding arrangements with Microsoft, Elon already owns everything: The rockets. The satellites. The launch infrastructure. The AI company (xAI). He doesn't need to ask utilities for permission. Doesn't need grid approvals from local governments. Doesn't need to build nuclear plants or wait for clean energy. He just launches. And everyone else is scrambling to catch up: Jeff Bezos sees it. Blue Origin announced they're building their own orbital data centers. Google just launched "Project Suncatcher" with plans to deploy AI satellites by 2027. Eric Schmidt, the former CEO of Google, literally BOUGHT an entire rocket company (Relativity Space) just to compete in this space. But they're all 3+ years behind Elon. SpaceX already has 6,000+ Starlink satellites in orbit. The infrastructure is built. The $30 billion from the IPO? Going straight into scaling orbital compute. SpaceX revenue is jumping from $15 billion in 2025 to $24 billion in 2026. Most of that from Starlink. Now add space-based AI infrastructure on top. Here's why this matters: Whoever controls orbital computing controls the AI revolution. And there's only ONE company on Earth with fully reusable rockets that can launch at the scale required. Jensen Huang, Nvidia's CEO, called space data centers "a dream." Translation: Nvidia is screwed if Elon actually pulls this off. Because if SpaceX succeeds, every AI company on the planet becomes Elon's customer. OpenAI needs compute? Running on SpaceX satellites. Google needs more capacity? Renting orbital infrastructure. Microsoft needs power? Paying SpaceX for launch and compute access. Elon won't just be in the AI race. He'll own the entire track everyone else is running on. The $1.5 trillion valuation sounds crazy until you realize what he's actually building. It's not a rocket company. It's the infrastructure layer for the next 50 years of computing. People calling it overvalued have no idea what's coming.

Ricardo

2,908,634 次观看 • 8 个月前

Eric Schmidt just told Congress the number that kills the AI race on Earth: 92 gigawatts of new power, and we can’t deliver it. Former Google CEO laid out math everyone’s ignoring. Average nuclear plant: 1.5 gigawatts. AI demand: 92 gigawatts. That’s 60+ new nuclear facilities needed now, not decades from now. Schmidt: “We need 92 gigawatts more power.” Not happening. Infrastructure doesn’t exist. Approval takes years. Grid physically can’t absorb it. We’re out of electricity. Schmidt investing in Relativity Space isn’t billionaire space hobby. He spotted the bottleneck killing everything and he’s building the only exit that works. Can’t build power plants on Earth fast enough? Move compute off Earth. Schmidt: “You see the problem.” AI doesn’t hit an algorithm wall or chip shortage. It hits power ceiling. The grid can’t deliver 92 gigawatts at the speed AI development demands. Physically impossible to build that capacity terrestrially in relevant timeframes. Not a grid problem. A location problem. Next phase of compute can’t happen on the surface. Period. Heat, power draw, infrastructure limits, all of it forces migration to orbit. Only place with unlimited energy and zero conflicts is space. Schmidt: “We’re running out of electricity.” Direct assessment from someone watching what’s actually being deployed. The gap separating what AI needs and what Earth can provide is unbridgeable at required speeds. Not technical constraints. Physical reality. His aerospace play isn’t exploration. It’s escape route from a grid approaching collapse under computational demand it was never designed to handle. Scaling AI to the levels every major company is planning requires abandoning the planet. Not eventually. Now. Because the alternative is power walls that stop everything regardless of algorithmic genius or hardware breakthroughs. Doesn’t matter how perfect your models are or how many chips you fabricate if you can’t turn them on. And Earth can’t generate power fast enough for what the next five years require. Space isn’t the ambitious choice anymore. It’s the only choice avoiding hard physics limits on how fast you can deploy power generation on a regulated planetary surface. The AI race doesn’t end when someone builds superior intelligence. It ends when they can’t power it while competitors in orbit operate without energy ceilings. And that’s not distant future. That’s the constraint arriving right now that nobody building exclusively on Earth has an answer for.

Eric Schmidt just told Congress the number that kills the AI race on Earth: 92 gigawatts of new power, and we can’t deliver it. Former Google CEO laid out math everyone’s ignoring. Average nuclear plant: 1.5 gigawatts. AI demand: 92 gigawatts. That’s 60+ new nuclear facilities needed now, not decades from now. Schmidt: “We need 92 gigawatts more power.” Not happening. Infrastructure doesn’t exist. Approval takes years. Grid physically can’t absorb it. We’re out of electricity. Schmidt investing in Relativity Space isn’t billionaire space hobby. He spotted the bottleneck killing everything and he’s building the only exit that works. Can’t build power plants on Earth fast enough? Move compute off Earth. Schmidt: “You see the problem.” AI doesn’t hit an algorithm wall or chip shortage. It hits power ceiling. The grid can’t deliver 92 gigawatts at the speed AI development demands. Physically impossible to build that capacity terrestrially in relevant timeframes. Not a grid problem. A location problem. Next phase of compute can’t happen on the surface. Period. Heat, power draw, infrastructure limits, all of it forces migration to orbit. Only place with unlimited energy and zero conflicts is space. Schmidt: “We’re running out of electricity.” Direct assessment from someone watching what’s actually being deployed. The gap separating what AI needs and what Earth can provide is unbridgeable at required speeds. Not technical constraints. Physical reality. His aerospace play isn’t exploration. It’s escape route from a grid approaching collapse under computational demand it was never designed to handle. Scaling AI to the levels every major company is planning requires abandoning the planet. Not eventually. Now. Because the alternative is power walls that stop everything regardless of algorithmic genius or hardware breakthroughs. Doesn’t matter how perfect your models are or how many chips you fabricate if you can’t turn them on. And Earth can’t generate power fast enough for what the next five years require. Space isn’t the ambitious choice anymore. It’s the only choice avoiding hard physics limits on how fast you can deploy power generation on a regulated planetary surface. The AI race doesn’t end when someone builds superior intelligence. It ends when they can’t power it while competitors in orbit operate without energy ceilings. And that’s not distant future. That’s the constraint arriving right now that nobody building exclusively on Earth has an answer for.

Dustin

160,358 次观看 • 6 个月前

ELON: WE SEE A PATH TO 100 GIGAWATTS OF SOLAR AI SATELLITES IN ORBIT "We see a path to putting a hundred gigawatts per year of solar powered AI satellites into orbit, and having this be actually the lowest cost way to power and operate AI at a very large scale.” Source: Baron Capital

ELON: WE SEE A PATH TO 100 GIGAWATTS OF SOLAR AI SATELLITES IN ORBIT "We see a path to putting a hundred gigawatts per year of solar powered AI satellites into orbit, and having this be actually the lowest cost way to power and operate AI at a very large scale.” Source: Baron Capital

Mario Nawfal

588,783 次观看 • 9 个月前

Elon Musk on why the Moon might come before Mars: “You don’t necessarily have to go through the Moon to get to Mars. But I think we can build a self-growing city on the Moon faster than we can on Mars” The Moon has major advantages for scaling AI in space: Because it has no atmosphere and only one-sixth of Earth’s gravity, you can use a mass driver (railgun) to literally shoot AI data centers into deep space - no rockets required You can also manufacture solar panels and radiators directly from Moon materials. This could allow scaling to over 1,000 terawatts per year of AI compute - compared to roughly 1 terawatt per year if launching everything from Earth Mars remains the ultimate goal - a whole planet with Earth-like gravity and a thin atmosphere that could one day be warmed up to have oceans and walkable surfaces without spacesuits But the Moon could be the faster stepping stone to build massive infrastructure in space

Elon Musk on why the Moon might come before Mars: “You don’t necessarily have to go through the Moon to get to Mars. But I think we can build a self-growing city on the Moon faster than we can on Mars” The Moon has major advantages for scaling AI in space: Because it has no atmosphere and only one-sixth of Earth’s gravity, you can use a mass driver (railgun) to literally shoot AI data centers into deep space - no rockets required You can also manufacture solar panels and radiators directly from Moon materials. This could allow scaling to over 1,000 terawatts per year of AI compute - compared to roughly 1 terawatt per year if launching everything from Earth Mars remains the ultimate goal - a whole planet with Earth-like gravity and a thin atmosphere that could one day be warmed up to have oceans and walkable surfaces without spacesuits But the Moon could be the faster stepping stone to build massive infrastructure in space

X Freeze

37,598 次观看 • 2 个月前

Elon Musk says Space will be the lowest cost place to put AI within the next 2–3 years: “It’s a no brainer for building Solar-Powered AI Data Centers in space because, as you mentioned, it’s also very cold in space. If you’re in the shadow, then it’s very cold, just three degrees Kelvin. So you just have solar panels facing the sun and then a radiator that’s pointed away from the sun, so it has no sun incidence, and then it’s just cooling. It’s a very efficient cooling system. So, net effect is that the lowest cost place to put AI will be space, and that’ll be true within two years, maybe three at the latest.”

Elon Musk says Space will be the lowest cost place to put AI within the next 2–3 years: “It’s a no brainer for building Solar-Powered AI Data Centers in space because, as you mentioned, it’s also very cold in space. If you’re in the shadow, then it’s very cold, just three degrees Kelvin. So you just have solar panels facing the sun and then a radiator that’s pointed away from the sun, so it has no sun incidence, and then it’s just cooling. It’s a very efficient cooling system. So, net effect is that the lowest cost place to put AI will be space, and that’ll be true within two years, maybe three at the latest.”

Nic Cruz Patane

115,890 次观看 • 7 个月前

ELON MUSK: The Future of AI Power is in Space, Not on Earth. "Once you start thinking in terms of what percentage of the sun's power are you harnessing? You realize you have to go to space and you can't scale very much on Earth. All of the United States currently uses only half a terawatt per hour on average. So you know, if you say a terawatt, that would be twice as much electricity as the United States currently consumes. So that's quite a lot. It's actually very difficult to build power plants and then you don't just need the power plants, you need all of the electrical equipment. Need the electrical transformers to run the transformers. You can build power plants. That's what we did at xAI for Colossus 2. It's very difficult to scale other forms of power. You can scale potentially solar. Solar cells are already very cheap. Now put it in space and it's 10 times cheaper because you don't need any batteries. So the moment your cost of access to space becomes low. By far, the cheapest and most scalable way to generate tokens is space. It's not even close. It'll be an order of magnitude easier to scale five years from now. My prediction is we will launch and be operating every year more AI in space than the cumulative total on Earth."

ELON MUSK: The Future of AI Power is in Space, Not on Earth. "Once you start thinking in terms of what percentage of the sun's power are you harnessing? You realize you have to go to space and you can't scale very much on Earth. All of the United States currently uses only half a terawatt per hour on average. So you know, if you say a terawatt, that would be twice as much electricity as the United States currently consumes. So that's quite a lot. It's actually very difficult to build power plants and then you don't just need the power plants, you need all of the electrical equipment. Need the electrical transformers to run the transformers. You can build power plants. That's what we did at xAI for Colossus 2. It's very difficult to scale other forms of power. You can scale potentially solar. Solar cells are already very cheap. Now put it in space and it's 10 times cheaper because you don't need any batteries. So the moment your cost of access to space becomes low. By far, the cheapest and most scalable way to generate tokens is space. It's not even close. It'll be an order of magnitude easier to scale five years from now. My prediction is we will launch and be operating every year more AI in space than the cumulative total on Earth."

DogeDesigner

37,916 次观看 • 6 个月前

Elon Musk just unveiled SpaceXAI's first AI satellite. • 150 kW peak power / 120 kW sustained compute power • 150 kW solar array using SpaceX-manufactured solar technology • Centralized AI compute payload designed for high-performance AI workloads • 70-meter wingspan when fully deployed • 110 m² deployable liquid radiators to remove waste heat in space • Redundant cooling loops with integrated micrometeoroid shielding • Designed to launch on Starship, enabling the mass-to-orbit needed for large-scale space computing • Uses laser links while avoiding many of the complex communications systems required by Starlink satellites • SpaceX believes future versions can scale far beyond this first design Elon Musk says the path to scaling AI in space requires 3 things: • Massive launch capability (Starship) • Enormous solar power generation • Large radiators to reject heat from AI chips He also suggested that truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, implying millions of tons of infrastructure in orbit.

Elon Musk just unveiled SpaceXAI's first AI satellite. • 150 kW peak power / 120 kW sustained compute power • 150 kW solar array using SpaceX-manufactured solar technology • Centralized AI compute payload designed for high-performance AI workloads • 70-meter wingspan when fully deployed • 110 m² deployable liquid radiators to remove waste heat in space • Redundant cooling loops with integrated micrometeoroid shielding • Designed to launch on Starship, enabling the mass-to-orbit needed for large-scale space computing • Uses laser links while avoiding many of the complex communications systems required by Starlink satellites • SpaceX believes future versions can scale far beyond this first design Elon Musk says the path to scaling AI in space requires 3 things: • Massive launch capability (Starship) • Enormous solar power generation • Large radiators to reject heat from AI chips He also suggested that truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, implying millions of tons of infrastructure in orbit.

DogeDesigner

138,342 次观看 • 2 个月前

Elon Musk just put a five-year timeline on moving the majority of AI compute off the surface of the Earth. Musk: “5 years from now my prediction is we will launch and be operating every year more AI in space than the cumulative total on Earth.” Not decades from now. Five years. Dwarkesh Patel broke down the math live. 100 gigawatts of AI in orbit requires roughly 10,000 Starship launches per year. One launch every single hour. Musk confirmed it without flinching. The entire operation could run on as few as 20 or 30 physical Starships, each one cycling back to the pad every 30 hours. A fleet smaller than most regional airlines. Deploying more intelligence per year than the entire planet currently runs. Musk: “SpaceX is gearing up to do 10,000 launches a year. And maybe even 20 or 30,000 launches a year.” Every data center under construction right now. Every GPU cluster. Every billion-dollar AI facility going up across three continents. All of it combined would still fall short of what one company plans to put above the atmosphere every year. The reason no one else can follow him here is physics. AI scaling on the ground is already hitting hard ceilings. Grid capacity. Permitting. Cooling. The surface of the planet has a finite budget for how much power you can feed into compute. Space does not. Unobstructed solar at a scale Earth physically cannot provide. Musk: “On Earth you can get to around a terawatt a year of AI in space before you start having fuel supply challenges for the rocket.” A terawatt. That single number exceeds the entire electrical generation capacity of the United States. And the only constraint Musk names is not engineering. Not physics. Not capital. Fuel supply for the rockets. This is why SpaceX and xAI were never two separate visions. The rockets exist to move intelligence off the surface. The AI exists to justify building the rockets. One architecture split across two companies. Every other AI lab on the planet is fighting over the same finite pool of terrestrial power and real estate. Musk is not trying to win that fight. He is leaving the board entirely. Five years from now, the majority of functioning intelligence in the solar system may not be on this planet. It will be above it, running on sunlight, bound by no grid, governed by no jurisdiction. Earth becomes the secondary compute environment in its own solar system.

Elon Musk just put a five-year timeline on moving the majority of AI compute off the surface of the Earth. Musk: “5 years from now my prediction is we will launch and be operating every year more AI in space than the cumulative total on Earth.” Not decades from now. Five years. Dwarkesh Patel broke down the math live. 100 gigawatts of AI in orbit requires roughly 10,000 Starship launches per year. One launch every single hour. Musk confirmed it without flinching. The entire operation could run on as few as 20 or 30 physical Starships, each one cycling back to the pad every 30 hours. A fleet smaller than most regional airlines. Deploying more intelligence per year than the entire planet currently runs. Musk: “SpaceX is gearing up to do 10,000 launches a year. And maybe even 20 or 30,000 launches a year.” Every data center under construction right now. Every GPU cluster. Every billion-dollar AI facility going up across three continents. All of it combined would still fall short of what one company plans to put above the atmosphere every year. The reason no one else can follow him here is physics. AI scaling on the ground is already hitting hard ceilings. Grid capacity. Permitting. Cooling. The surface of the planet has a finite budget for how much power you can feed into compute. Space does not. Unobstructed solar at a scale Earth physically cannot provide. Musk: “On Earth you can get to around a terawatt a year of AI in space before you start having fuel supply challenges for the rocket.” A terawatt. That single number exceeds the entire electrical generation capacity of the United States. And the only constraint Musk names is not engineering. Not physics. Not capital. Fuel supply for the rockets. This is why SpaceX and xAI were never two separate visions. The rockets exist to move intelligence off the surface. The AI exists to justify building the rockets. One architecture split across two companies. Every other AI lab on the planet is fighting over the same finite pool of terrestrial power and real estate. Musk is not trying to win that fight. He is leaving the board entirely. Five years from now, the majority of functioning intelligence in the solar system may not be on this planet. It will be above it, running on sunlight, bound by no grid, governed by no jurisdiction. Earth becomes the secondary compute environment in its own solar system.

Dustin

13,346 次观看 • 3 个月前

Here’s Elon Musk explaining that SpaceX could launch up to one terawatt per year of AI compute capacity into Earth orbit — equivalent to the power output of roughly 1,000 nuclear power plants. “The next step beyond Earth data centers is our Earth orbital data centers. And we'll be launching with SpaceX orbital data centers at the 100-to-200-gigawatt-per-year level. Not cumulative, per year. And ultimately, we see a path to maybe launching as much as a terawatt per year of compute from Earth. But what if you want to go beyond a mere terawatt per year? In order to do that, you have to go to the Moon. So by having factories on the Moon, building AI satellites, and having a mass driver, which is the kind of thing you really only learn about in or read about in science fiction, but we're going to make it real. We're actually going to have a mass driver on the Moon. And if you do that, you can go several orders of magnitude greater. You can go to 1,000 gigawatts or more per year and ultimately get to maybe a millionth and then a thousandth and maybe even a few percent of the Sun's energy.” xAI All-Hands, February 10, 2026

Here’s Elon Musk explaining that SpaceX could launch up to one terawatt per year of AI compute capacity into Earth orbit — equivalent to the power output of roughly 1,000 nuclear power plants. “The next step beyond Earth data centers is our Earth orbital data centers. And we'll be launching with SpaceX orbital data centers at the 100-to-200-gigawatt-per-year level. Not cumulative, per year. And ultimately, we see a path to maybe launching as much as a terawatt per year of compute from Earth. But what if you want to go beyond a mere terawatt per year? In order to do that, you have to go to the Moon. So by having factories on the Moon, building AI satellites, and having a mass driver, which is the kind of thing you really only learn about in or read about in science fiction, but we're going to make it real. We're actually going to have a mass driver on the Moon. And if you do that, you can go several orders of magnitude greater. You can go to 1,000 gigawatts or more per year and ultimately get to maybe a millionth and then a thousandth and maybe even a few percent of the Sun's energy.” xAI All-Hands, February 10, 2026

ELON CLIPS

21,962 次观看 • 5 个月前