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SpaceX has released a new video of the electromagnetic mass driver it plans to build on the Moon, which will shoot massive AI satellites into orbit. The satellites will use Tesla chips.
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Elon Musk explains why deploying AI in Space makes sense:
— The cost of deploying AI in space will drop below the cost of terrestrial AI much sooner than people expect
— In Space it’s always sunny. You will get 5x or more solar power in space vs the ground on earth. Fully maximized.
— Space Solar costs less than terrestrial Solar since you don’t need heavy glass or framing to protect it from extreme weather events.
— As you go into space, you get increase economies at scale and things get easier over time. Compared to on the ground at earth where you will run out of space.
— Increasing power on earth has becomes harder over time, and more expensive over time. But in space, it becomes cheaper and easier over time.
— The cost of deploying AI in space will drop below the cost of terrestrial AI much sooner than people expect
— In Space it’s always sunny. You will get 5x or more solar power in space vs the ground on earth. Fully maximized.
— Space Solar costs less than terrestrial Solar since you don’t need heavy glass or framing to protect it from extreme weather events.
— As you go into space, you get increase economies at scale and things get easier over time. Compared to on the ground at earth where you will run out of space.
— Increasing power on earth has becomes harder over time, and more expensive over time. But in space, it becomes cheaper and easier over time.
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HOLY SMOKES – Musk Just Dropped a Terawatt Blueprint for Humanity’s Next Era.
If you missed it, you can watch or read below and make sure to save this.
- Humanity’s mission is to become a galactic civilization, with cities on the Moon, Mars, and across the solar system.
- We’re far below Type I on the Kardashev scale, using only a tiny fraction of the Sun’s energy, so real growth requires tapping power in space.
- Human electricity use is about a trillionth of the Sun’s output; even a million‑fold increase would still be only a millionth of what’s available.
- Terafab is a joint Tesla/xAI/SpaceX project targeting roughly a terawatt of AI compute per year, because today’s fabs together provide only a small slice of what this plan needs.
- Reaching that scale means launching around 10 million tons of hardware to orbit each year and deploying about a terawatt of solar power in space.
- An Advanced Technology Fab in Austin will integrate mask‑making, logic and memory fabrication, packaging, and testing in one building for an ultra‑fast design–build–test loop.
- The plan includes two chip families: edge inference chips for Optimus robots and Tesla vehicles, and high‑power, radiation‑hardened chips built specifically for space.
- Musk expects humanoid robot production to hit 1–10 billion units per year, eventually dwarfing global car output.
- He argues AI data centers in orbit will soon be cheaper than on Earth because of constant sunlight, lighter hardware, and falling launch costs.
- After Terafab comes petawatt‑scale compute using electromagnetic mass drivers on the Moon to launch hardware without rockets.
- The destination is an AI‑robotics economy potentially a million times larger than today’s, with energy and resources abundant enough that even trips to Saturn could be accessible to anyone.
If you missed it, you can watch or read below and make sure to save this.
- Humanity’s mission is to become a galactic civilization, with cities on the Moon, Mars, and across the solar system.
- We’re far below Type I on the Kardashev scale, using only a tiny fraction of the Sun’s energy, so real growth requires tapping power in space.
- Human electricity use is about a trillionth of the Sun’s output; even a million‑fold increase would still be only a millionth of what’s available.
- Terafab is a joint Tesla/xAI/SpaceX project targeting roughly a terawatt of AI compute per year, because today’s fabs together provide only a small slice of what this plan needs.
- Reaching that scale means launching around 10 million tons of hardware to orbit each year and deploying about a terawatt of solar power in space.
- An Advanced Technology Fab in Austin will integrate mask‑making, logic and memory fabrication, packaging, and testing in one building for an ultra‑fast design–build–test loop.
- The plan includes two chip families: edge inference chips for Optimus robots and Tesla vehicles, and high‑power, radiation‑hardened chips built specifically for space.
- Musk expects humanoid robot production to hit 1–10 billion units per year, eventually dwarfing global car output.
- He argues AI data centers in orbit will soon be cheaper than on Earth because of constant sunlight, lighter hardware, and falling launch costs.
- After Terafab comes petawatt‑scale compute using electromagnetic mass drivers on the Moon to launch hardware without rockets.
- The destination is an AI‑robotics economy potentially a million times larger than today’s, with energy and resources abundant enough that even trips to Saturn could be accessible to anyone.
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🇺🇸 Elon confirms the “Terafab” model links xAI, SpaceX, and Tesla to scale chips, energy, and factories together, aiming for terawatt-level compute output.
The idea is to control the full stack: chip design, manufacturing, power generation, and deployment, with most compute eventually supporting space-based systems.
So it’s like a feedback loop, more factories build more chips, which train better AI, which then designs even better factories.
Because why build a factory… when you can try to build the entire stack.
The idea is to control the full stack: chip design, manufacturing, power generation, and deployment, with most compute eventually supporting space-based systems.
So it’s like a feedback loop, more factories build more chips, which train better AI, which then designs even better factories.
Because why build a factory… when you can try to build the entire stack.
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🇨🇠Global One SI - Prompt
$KTOS/USD H2 #Indicator #Signal #Trading #GlobalOneAI
The future of airpower may not be built around a few extremely expensive aircraft.
It may be built around large numbers of autonomous, attritable systems.
That is exactly the thesis behind #KratosDefense.
Kratos focuses on technologies aligned with emerging military doctrine:
• autonomous tactical drones
• collaborative combat aircraft
• electronic warfare systems
• satellite communications infrastructure
• missile and propulsion technologies
Programs like the XQ-58 Valkyrie illustrate the shift.
Instead of replacing fighter jets, these systems are designed to fly alongside them as autonomous teammates.
The strategic logic is clear:
• lower cost platforms
• deployable at scale
• survivable through numbers rather than price
But the investment case is not without risks.
Kratos still depends on:
• defense procurement cycles
• program funding decisions
• competition from large defense primes
It may be built around large numbers of autonomous, attritable systems.
That is exactly the thesis behind #KratosDefense.
Kratos focuses on technologies aligned with emerging military doctrine:
• autonomous tactical drones
• collaborative combat aircraft
• electronic warfare systems
• satellite communications infrastructure
• missile and propulsion technologies
Programs like the XQ-58 Valkyrie illustrate the shift.
Instead of replacing fighter jets, these systems are designed to fly alongside them as autonomous teammates.
The strategic logic is clear:
• lower cost platforms
• deployable at scale
• survivable through numbers rather than price
But the investment case is not without risks.
Kratos still depends on:
• defense procurement cycles
• program funding decisions
• competition from large defense primes
🇨🇠Global One SI - Prompt
Changing Fiction to Reality The Space Race will force us to drop the word “fiction” from so many things that used to be just sci-fi. Case in point: Tesla’s Optimi becoming Von Neumann probes that can replicate themselves using raw materials found in space.…
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Massive Plan
#Tesla in collaboration with #SpaceX and #xAI is constructing the largest chip manufacturing facility in history (1 TW/year): TERAFAB.
Millions or even more Optimus robots will participate as an intelligent workforce. (Optimus holds the potential to realize a "Von Neumann self-replicating robot" on the Moon...)
>>>>>>>>>>
After watching the promotional video, it feels as though all of Elon's companies are merging and transforming into a single, massive, conscious physical entity.
Elon and his team are turning the science fiction of Asimov and Heinlein into reality.
#Tesla in collaboration with #SpaceX and #xAI is constructing the largest chip manufacturing facility in history (1 TW/year): TERAFAB.
Millions or even more Optimus robots will participate as an intelligent workforce. (Optimus holds the potential to realize a "Von Neumann self-replicating robot" on the Moon...)
>>>>>>>>>>
After watching the promotional video, it feels as though all of Elon's companies are merging and transforming into a single, massive, conscious physical entity.
Elon and his team are turning the science fiction of Asimov and Heinlein into reality.
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Team work:When one Digit is charging itself, the other Digit automatically disconnects from charging and takes over the work.
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Elon says humanoid robots could reach 10-100 billion units a year, far exceeding the ~100 million cars produced annually.
Imagine a future where robots dominate global manufacturing output... hope they’re friendly.
Imagine a future where robots dominate global manufacturing output... hope they’re friendly.
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🇨🇠Global One SI - Prompt
BYD released a video of their new 2nd generation Blade Battery Flash Charging (1,500 kW) after being cold-soaked for 24 hours at -30°C. It was able to charge from 20% to 97% SoC in under 12 minutes at -30°C.
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✨🇨🇳A BYD supercharging station is not just for charging. It is a solar power plant.
This is the future.
This is the future.
A new global report shows that companies like OpenAI are actively building autonomous AI researchers, systems designed to run experiments, write code, and solve complex problems with minimal human input. Early versions could emerge as soon as 2026, with more advanced multi-agent systems targeted around 2028.
At the same time, the world quietly crossed over 4 terawatts of renewable energy capacity, adding 814 GW in a single year. This isn’t just climate progress, it’s the foundation for massive AI infrastructure.
Intelligence is becoming an energy problem đź‘€!
And the internet itself is shifting. By 2027, AI agents are projected to generate more traffic than humans. A single AI task can explore thousands of pages in seconds, something no human can match.
Acceleration is everywhere
At the same time, the world quietly crossed over 4 terawatts of renewable energy capacity, adding 814 GW in a single year. This isn’t just climate progress, it’s the foundation for massive AI infrastructure.
Intelligence is becoming an energy problem đź‘€!
And the internet itself is shifting. By 2027, AI agents are projected to generate more traffic than humans. A single AI task can explore thousands of pages in seconds, something no human can match.
Acceleration is everywhere
Elon & Jensen: The Two Units of the Intelligence Age
Intelligence is no longer abstract. It is manufactured.
It is built inside data centers, powered by electricity, and scaled through semiconductors, cooling systems, and capital. In the AI era, intelligence is no longer purely biological. It is becoming a physical, industrial system.
And like every industrial system before it, it demands new units of measurement.
In the past, we measured progress through labor, capital, and energy. Today, those are no longer sufficient. We need a way to measure intelligence itself - not as an idea, but as an output.
To do that, we need two units.
The Jensen: Efficiency of Intelligence
A Jensen measures how efficiently we convert energy into intelligence.
Formally: 1 Jensen = tokens per second per watt
It tells us how much cognitive output we can generate from a given unit of energy.
A higher Jensen means:
Better chips
Better models
Better software optimization
It is the intelligence equivalent of miles per gallon.
Two systems consuming the same amount of power can produce vastly different amounts of intelligence depending on their Jensen.
This is the domain of architecture, design, and engineering.
The Elon: Scale of Intelligence
If a Jensen measures efficiency, an Elon measures scale.
1 Elon = 1 gigawatt of sustained AI-optimized compute in operation
An Elon measures the continuous deployment of intelligence.
It captures:
- Data centers actually running models
- Power that is actively converted into cognition
- Systems operating in real time, at scale
An Elon is not just electricity. It is organized, industrialized intelligence in motion.
From Components to Output
Once you define both units, something powerful happens.
You can describe total intelligence production as: Intelligence Output = Jensen Ă— Elon
In units:
Jensen → tokens / second / watt
Elon → watts (at scale)
Together: tokens / second
For the first time, intelligence becomes measurable as a rate of production.
In the Intelligence Age, we will measure it in:
Jensens - how efficiently we create intelligence
Elons - how much intelligence we can run
And ultimately:
Total intelligence produced per second
Intelligence is no longer abstract. It is manufactured.
It is built inside data centers, powered by electricity, and scaled through semiconductors, cooling systems, and capital. In the AI era, intelligence is no longer purely biological. It is becoming a physical, industrial system.
And like every industrial system before it, it demands new units of measurement.
In the past, we measured progress through labor, capital, and energy. Today, those are no longer sufficient. We need a way to measure intelligence itself - not as an idea, but as an output.
To do that, we need two units.
The Jensen: Efficiency of Intelligence
A Jensen measures how efficiently we convert energy into intelligence.
Formally: 1 Jensen = tokens per second per watt
It tells us how much cognitive output we can generate from a given unit of energy.
A higher Jensen means:
Better chips
Better models
Better software optimization
It is the intelligence equivalent of miles per gallon.
Two systems consuming the same amount of power can produce vastly different amounts of intelligence depending on their Jensen.
This is the domain of architecture, design, and engineering.
The Elon: Scale of Intelligence
If a Jensen measures efficiency, an Elon measures scale.
1 Elon = 1 gigawatt of sustained AI-optimized compute in operation
An Elon measures the continuous deployment of intelligence.
It captures:
- Data centers actually running models
- Power that is actively converted into cognition
- Systems operating in real time, at scale
An Elon is not just electricity. It is organized, industrialized intelligence in motion.
From Components to Output
Once you define both units, something powerful happens.
You can describe total intelligence production as: Intelligence Output = Jensen Ă— Elon
In units:
Jensen → tokens / second / watt
Elon → watts (at scale)
Together: tokens / second
For the first time, intelligence becomes measurable as a rate of production.
In the Intelligence Age, we will measure it in:
Jensens - how efficiently we create intelligence
Elons - how much intelligence we can run
And ultimately:
Total intelligence produced per second
✍1
🇨🇠Global One SI - Prompt
Elon & Jensen: The Two Units of the Intelligence Age Intelligence is no longer abstract. It is manufactured. It is built inside data centers, powered by electricity, and scaled through semiconductors, cooling systems, and capital. In the AI era, intelligence…
The Elon - A New Unit of Industrialized Intelligence
Intelligence is no longer abstract. Intelligence is manufactured. It is built inside data centers. It is powered by electricity. It is measured in megawatts.
This means that intelligence is no longer purely biological - it is a physical, industrial phenomenon.
Modern AI isn't limited by ideas. It's constrained by compute throughput, energy availability, intelligence density and deployment speed.
So what would an Elon measure?
One Elon = the sustained operation of one gigawatt of AI-optimized compute capacity.
Not the cost to train it. Not the energy consumed. Not a one-time event. But the continuous rate at which intelligence can be generated, intelligence density improved AND applied.
It is a throughput metric.
So instead of asking "how many GPUs do you have?" - we ask "How many Elons are you running?"
We move from: “We trained a big model” to: “We are running 12 Elons of intelligence capacity.”
It becomes a macroeconomic metric.
If GDP once correlated with labor force size and growth, capital stock, and energy consumption, then in the AI era it increasingly correlates with Elons deployed.
An Elon is not a unit of electricity.
It measures of much artificial cognition a civilization can run continuously.
Another way to think about it: 1 Elon = the cognitive output equivalent of replacing ten million knowledge workers with machine intelligence operating 24/7. Now it becomes tangible. Not kilowatt-hours. But civilizational thinking power.
It shifts the perspective from kilowatt-hours (household scale) to Elons (civilization scale).
And it's fitting that such a measure is called Elon as Elon Musk is the only person that both 1) cares about long-term civilizational survival and 2) is doing anything about it!
In the Intelligence Age, progress will not be measured merely in models released and energy consumed.
It will be measured in Elons.
Intelligence is no longer abstract. Intelligence is manufactured. It is built inside data centers. It is powered by electricity. It is measured in megawatts.
This means that intelligence is no longer purely biological - it is a physical, industrial phenomenon.
Modern AI isn't limited by ideas. It's constrained by compute throughput, energy availability, intelligence density and deployment speed.
So what would an Elon measure?
One Elon = the sustained operation of one gigawatt of AI-optimized compute capacity.
Not the cost to train it. Not the energy consumed. Not a one-time event. But the continuous rate at which intelligence can be generated, intelligence density improved AND applied.
It is a throughput metric.
So instead of asking "how many GPUs do you have?" - we ask "How many Elons are you running?"
We move from: “We trained a big model” to: “We are running 12 Elons of intelligence capacity.”
It becomes a macroeconomic metric.
If GDP once correlated with labor force size and growth, capital stock, and energy consumption, then in the AI era it increasingly correlates with Elons deployed.
An Elon is not a unit of electricity.
It measures of much artificial cognition a civilization can run continuously.
Another way to think about it: 1 Elon = the cognitive output equivalent of replacing ten million knowledge workers with machine intelligence operating 24/7. Now it becomes tangible. Not kilowatt-hours. But civilizational thinking power.
It shifts the perspective from kilowatt-hours (household scale) to Elons (civilization scale).
And it's fitting that such a measure is called Elon as Elon Musk is the only person that both 1) cares about long-term civilizational survival and 2) is doing anything about it!
In the Intelligence Age, progress will not be measured merely in models released and energy consumed.
It will be measured in Elons.
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