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🇺🇸 COLDER THAN DEEP SPACE: MICROSOFT’S NEW QUANTUM CHIP NEEDS EXTREME ICE TO WORK Microsoft’s “Majorana 1” chip has to be chilled to 50 millikelvin (10 times colder than interstellar space) just to function. Instead of electrons, it uses strange particles called Majoranas to store up to a million...

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Mario Nawfal

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122,152 views • 1 year ago •via X (Twitter)

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MICROSOFT BUILT THE COLDEST PLACE IN THE UNIVERSE TO UNLEASH A QUANTUM MONSTER Colder than interstellar space - 40x colder, actually - and no, it’s not a freezer. It’s a launchpad for Microsoft’s 1 million-qubit quantum chip, powered by a particle that wasn’t even proven to exist until now. While everyone else is bragging about 1,000-qubit machines the size of a warehouse, Microsoft just said: “Cool story. We put a supercomputer in our hand.” Their latest chip uses Majorana particles to do the impossible: cram football-field-level quantum power into something palm-sized. Normal computers crawl through problems one bit at a time. Quantum? It takes every path at once. And this thing? It’s got millions of paths. The quantum arms race just got very real. Source: Rillo TV
1:26

MICROSOFT BUILT THE COLDEST PLACE IN THE UNIVERSE TO UNLEASH A QUANTUM MONSTER Colder than interstellar space - 40x colder, actually - and no, it’s not a freezer. It’s a launchpad for Microsoft’s 1 million-qubit quantum chip, powered by a particle that wasn’t even proven to exist until now. While everyone else is bragging about 1,000-qubit machines the size of a warehouse, Microsoft just said: “Cool story. We put a supercomputer in our hand.” Their latest chip uses Majorana particles to do the impossible: cram football-field-level quantum power into something palm-sized. Normal computers crawl through problems one bit at a time. Quantum? It takes every path at once. And this thing? It’s got millions of paths. The quantum arms race just got very real. Source: Rillo TV

Mario Nawfal

480,908 views • 1 year ago

🇺🇸 MICROSOFT BUILDS QUANTUM CHIP WITH NEW STATE OF MATTER Microsoft just unveiled a quantum chip called Mirana One, and it’s powered by a material that doesn’t naturally exist. To make it work, scientists created a new state of matter that’s not solid, liquid, or gas. It controls quantum particles using atom-by-atom topo conductors, enabling stable topological qubits…100x smaller than a human hair. Eight qubits already fit on a chip the size of your palm. The goal? A million. Processing power beyond anything on Earth. Forget supercomputers. This fits in your hand. Source: Rowan Cheung
1:06

🇺🇸 MICROSOFT BUILDS QUANTUM CHIP WITH NEW STATE OF MATTER Microsoft just unveiled a quantum chip called Mirana One, and it’s powered by a material that doesn’t naturally exist. To make it work, scientists created a new state of matter that’s not solid, liquid, or gas. It controls quantum particles using atom-by-atom topo conductors, enabling stable topological qubits…100x smaller than a human hair. Eight qubits already fit on a chip the size of your palm. The goal? A million. Processing power beyond anything on Earth. Forget supercomputers. This fits in your hand. Source: Rowan Cheung

Mario Nawfal

194,733 views • 1 year ago

ELON MUSK: "The AI 5 chip which is going to be a great chip. All of Tesla hinges on that chip. That's the chip that going to our next gen self driving cars and it's also essential for Optimus. It's performance per watt is extremely good. It is probably going to be at least 2-3 times better than NVIDIA performance per watt and 10% cost of the NVIDIA chip something like that."
1:52

ELON MUSK: "The AI 5 chip which is going to be a great chip. All of Tesla hinges on that chip. That's the chip that going to our next gen self driving cars and it's also essential for Optimus. It's performance per watt is extremely good. It is probably going to be at least 2-3 times better than NVIDIA performance per watt and 10% cost of the NVIDIA chip something like that."

DogeDesigner

162,829 views • 8 months ago

ELON MUSK: "The AI 5 chip which is going to be a great chip. All of Tesla hinges on that chip. That's the chip that going to our next gen self driving cars and it's also essential for Optimus. So that chip program was in bad shape. It wasn't on the path to success and we also had the DOJO program which was also doing okay but not on a path to be competitive with NVIDIA. So I collapsed the two programs into just one program to get everyone focused on the AI5 chip. It's performance per watt is extremely good. It is probably going to be at least 2-3 times better than NVIDIA performance per watt and 10% cost of the NVIDIA chip something like that."
1:52

ELON MUSK: "The AI 5 chip which is going to be a great chip. All of Tesla hinges on that chip. That's the chip that going to our next gen self driving cars and it's also essential for Optimus. So that chip program was in bad shape. It wasn't on the path to success and we also had the DOJO program which was also doing okay but not on a path to be competitive with NVIDIA. So I collapsed the two programs into just one program to get everyone focused on the AI5 chip. It's performance per watt is extremely good. It is probably going to be at least 2-3 times better than NVIDIA performance per watt and 10% cost of the NVIDIA chip something like that."

DogeDesigner

265,257 views • 9 months ago

ELON MUSK: We believe the AI5 chip will be roughly comparable performance to an NVIDIA Blackwell, and at much less than 10% of the cost Transcription: I'm super hardcore on chips right now as you may be able to tell. I have chips on the brain. I dream about chips, Literally! Because in order to have a functional robot, you have to have a great AI chip. And it needs to be an inexpensive chip and it needs to be very power efficient So we think we believe the AI5 chip will be probably about a third of the power of say something like a Blackwell, an NVIDIA Blackwell, which is a great chip, for roughly comparable performance. And much less than 10% of the cost. This is a chip that is very much optimized for the Tesla AI software stack. So it's not meant to be a general purpose chip, it's meant to be an amazing chip for the Tesla AI software And I mean a couple of things that I think make... like how is Tesla able to achieve such an improvement? I think it is because we are specialized. We're not trying to... you know, NVIDIA has to serve the superset of all past and future customers. So all of their requirements, all of the software that they've written has to work, which is a very difficult problem. Whereas we just need to make it work for our software. And so we're able to simplify the chip dramatically And then we also, I think we're unique in this, but like we have an integer-based system. And integer operations are fundamentally more efficient than floating point operations. So we can do floating point, but the vast majority of our inference is done in integer. Which is, if you're familiar with sort of logic gates, the simplicity of integer... it's integer is much more power efficient, much more silicon efficient, but you have to, you actually have to train for integer inference, which everyone else is training for floating point. That's kind of like a niche technical detail, but it's actually very important. So, yeah, this is going to be a great chip So this chip will be made in basically in four places: TSMC Taiwan, Samsung Korea, TSMC Arizona, and TSMC Texas. And we already know what improvements to make for AI6. So I'm hopeful that we can within less than a year of AI5 starting production, we can actually transition in the same fab to AI6 and double all of the performance metrics
3:12

ELON MUSK: We believe the AI5 chip will be roughly comparable performance to an NVIDIA Blackwell, and at much less than 10% of the cost Transcription: I'm super hardcore on chips right now as you may be able to tell. I have chips on the brain. I dream about chips, Literally! Because in order to have a functional robot, you have to have a great AI chip. And it needs to be an inexpensive chip and it needs to be very power efficient So we think we believe the AI5 chip will be probably about a third of the power of say something like a Blackwell, an NVIDIA Blackwell, which is a great chip, for roughly comparable performance. And much less than 10% of the cost. This is a chip that is very much optimized for the Tesla AI software stack. So it's not meant to be a general purpose chip, it's meant to be an amazing chip for the Tesla AI software And I mean a couple of things that I think make... like how is Tesla able to achieve such an improvement? I think it is because we are specialized. We're not trying to... you know, NVIDIA has to serve the superset of all past and future customers. So all of their requirements, all of the software that they've written has to work, which is a very difficult problem. Whereas we just need to make it work for our software. And so we're able to simplify the chip dramatically And then we also, I think we're unique in this, but like we have an integer-based system. And integer operations are fundamentally more efficient than floating point operations. So we can do floating point, but the vast majority of our inference is done in integer. Which is, if you're familiar with sort of logic gates, the simplicity of integer... it's integer is much more power efficient, much more silicon efficient, but you have to, you actually have to train for integer inference, which everyone else is training for floating point. That's kind of like a niche technical detail, but it's actually very important. So, yeah, this is going to be a great chip So this chip will be made in basically in four places: TSMC Taiwan, Samsung Korea, TSMC Arizona, and TSMC Texas. And we already know what improvements to make for AI6. So I'm hopeful that we can within less than a year of AI5 starting production, we can actually transition in the same fab to AI6 and double all of the performance metrics

X Freeze

305,109 views • 9 months ago

ELON: TESLA FUTURE'S HINGES ON THE AI5 CHIP PROJECT "The AI5 chip, which is going to be a great chip, all of Tesla hinges on that chip. That's the chip that is going into our next generation of self-driving cars, and it's also essential for the Optimus robot. So that chip program was in bad shape. It wasn't closing because it's quite an ambitious chip design, and it really wasn't on a path to success. And then we also had the Dojo program, which was doing okay but not on a path to be competitive with NVIDIA. So I collapsed the two programs into just one program, which is to get everyone focused on the AI5 chip, which is essential. Continue to use NVIDIA for training, but we need the AI5 inference chip, which is a very powerful chip, but it's also a very low-power chip. So it doesn't use a lot of power. Its performance per watt is extremely good. I think it's probably going to be at least 2 to 4 times better than NVIDIA performance per watt at the inference level in the car and the robot. And I don't know, 10% of the cost of an NVIDIA chip, something like that. So these are very important numbers to achieve." Source: Elon Musk, Baron Capital, Ron Baron, Tesla
2:09

ELON: TESLA FUTURE'S HINGES ON THE AI5 CHIP PROJECT "The AI5 chip, which is going to be a great chip, all of Tesla hinges on that chip. That's the chip that is going into our next generation of self-driving cars, and it's also essential for the Optimus robot. So that chip program was in bad shape. It wasn't closing because it's quite an ambitious chip design, and it really wasn't on a path to success. And then we also had the Dojo program, which was doing okay but not on a path to be competitive with NVIDIA. So I collapsed the two programs into just one program, which is to get everyone focused on the AI5 chip, which is essential. Continue to use NVIDIA for training, but we need the AI5 inference chip, which is a very powerful chip, but it's also a very low-power chip. So it doesn't use a lot of power. Its performance per watt is extremely good. I think it's probably going to be at least 2 to 4 times better than NVIDIA performance per watt at the inference level in the car and the robot. And I don't know, 10% of the cost of an NVIDIA chip, something like that. So these are very important numbers to achieve." Source: Elon Musk, Baron Capital, Ron Baron, Tesla

Mario Nawfal

225,142 views • 9 months ago

ELON: TESLA'S AI5 CHIP IS THE SILICON VERSION OF “LESS IS MORE” "The AI5 chip will be 40 times better than the AI4 chip – not 40%, 40 times. We have a detailed understanding of the entire software and hardware stack. We are designing the hardware to address all of the pain points in software. We know what the chip needs to do, and we know, just as importantly, what the chip doesn’t need to do. A long list of deletions that are very important. As a result of these deletions, we can actually fit AI5 in a half reticle with a good margin for the traces from the memory to the Tesla chip accelerators, the ARM CPU cores, and the PCI blocks. This is a beautiful chip." Source: Elon Musk, Tesla Podcast, October 22, 2025
1:15

ELON: TESLA'S AI5 CHIP IS THE SILICON VERSION OF “LESS IS MORE” "The AI5 chip will be 40 times better than the AI4 chip – not 40%, 40 times. We have a detailed understanding of the entire software and hardware stack. We are designing the hardware to address all of the pain points in software. We know what the chip needs to do, and we know, just as importantly, what the chip doesn’t need to do. A long list of deletions that are very important. As a result of these deletions, we can actually fit AI5 in a half reticle with a good margin for the traces from the memory to the Tesla chip accelerators, the ARM CPU cores, and the PCI blocks. This is a beautiful chip." Source: Elon Musk, Tesla Podcast, October 22, 2025

Mario Nawfal

363,491 views • 9 months ago

The TeraFab Scale To reach a terawatt of AI compute output per year, SpaceX needs a chip factory at a scale that does not exist. That is the TeraFab. Elon Musk on the size: ~ 100 million square feet of factory floor ~ 10x larger than the entire Tesla Gigafactory Texas ~ Designed to produce one billion full-reticle chip equivalents per year ~ Each chip producing roughly one kilowatt of compute For context, current global AI chip manufacturing tops out at around 100 gigawatts per year of total compute. The TeraFab is built for 1000 gigawatts. That is 10 times the current global capacity, from a single facility.
0:28

The TeraFab Scale To reach a terawatt of AI compute output per year, SpaceX needs a chip factory at a scale that does not exist. That is the TeraFab. Elon Musk on the size: ~ 100 million square feet of factory floor ~ 10x larger than the entire Tesla Gigafactory Texas ~ Designed to produce one billion full-reticle chip equivalents per year ~ Each chip producing roughly one kilowatt of compute For context, current global AI chip manufacturing tops out at around 100 gigawatts per year of total compute. The TeraFab is built for 1000 gigawatts. That is 10 times the current global capacity, from a single facility.

Tesla Owners Silicon Valley

24,375 views • 10 days ago

Q: “What is your view of ICE?” Lindsey Boylan: “It needs to be abolished. I’ve been saying that for years. There is no purpose for it other than to terrorize our neighbors and it needs to go. Every contract, every company that has any kind of indirect business with ICE or frankly DHS at this point should be reassessed. If they have space in city property or if they have dealings with city property, we have to reassess and take that away because it’s just unacceptable, it’s terrorizing our neighbors”
0:31

Q: “What is your view of ICE?” Lindsey Boylan: “It needs to be abolished. I’ve been saying that for years. There is no purpose for it other than to terrorize our neighbors and it needs to go. Every contract, every company that has any kind of indirect business with ICE or frankly DHS at this point should be reassessed. If they have space in city property or if they have dealings with city property, we have to reassess and take that away because it’s just unacceptable, it’s terrorizing our neighbors”

Marco Foster

103,300 views • 4 months ago

Elon Musk just put a number on the flaw at the center of Nvidia’s empire. Wall Street has not done the math yet. Nvidia’s Blackwell is the most sought-after silicon on Earth. Every AI lab wants it. Every sovereign nation is bidding for it. Blackwell runs every model, for every company, in every data center on the planet. That universality built the empire. It is also the fracture point. Musk: “We believe the AI5 chip will be about a third of the power of an Nvidia Blackwell for roughly comparable performance. And much less than 10% of the cost.” One-third the power. Comparable performance. Less than ten percent of the cost. Musk: “This is a chip that is very much optimized for the Tesla AI software stack. It’s not meant to be a general purpose chip.” Nvidia builds silicon that serves a million different customers. Every transistor spent on universal compatibility is a transistor not dedicated to one task. Tesla is building silicon for exactly one customer. Itself. When you strip away every function you will never call, you do not get a lesser chip. You get a weapon. Here is what the market refuses to see. Data centers drink unlimited power from the grid. Robots run on batteries. Musk: “In order to have a functional robot, you have to have a great AI chip. And it needs to be an inexpensive chip and it needs to be very power efficient.” You cannot put a Blackwell inside a walking machine. It would drain the battery before it crossed the room. The entire AI revolution lives inside air-conditioned buildings bolted to the electrical grid. Musk is not competing for that market. He is engineering the silicon that survives outside of it. One-third the power is not a spec sheet footnote. It is the physics threshold that severs intelligence from the wall socket. Without that number, every robot on Earth stays tethered. With it, the algorithm walks. Less than ten percent of the cost is not a pricing strategy. It is the line where a machine brain stops being a capital expenditure and becomes a commodity component. When the chip inside a humanoid costs less than the motors in its legs, you do not manufacture hundreds of robots. You manufacture millions. Wall Street is valuing the AI revolution by who dominates the data center. Musk is building the only silicon designed to leave one. Nvidia built the brain of the cloud. Musk is building the brain of the physical world. No one has priced that in yet.
0:56

Elon Musk just put a number on the flaw at the center of Nvidia’s empire. Wall Street has not done the math yet. Nvidia’s Blackwell is the most sought-after silicon on Earth. Every AI lab wants it. Every sovereign nation is bidding for it. Blackwell runs every model, for every company, in every data center on the planet. That universality built the empire. It is also the fracture point. Musk: “We believe the AI5 chip will be about a third of the power of an Nvidia Blackwell for roughly comparable performance. And much less than 10% of the cost.” One-third the power. Comparable performance. Less than ten percent of the cost. Musk: “This is a chip that is very much optimized for the Tesla AI software stack. It’s not meant to be a general purpose chip.” Nvidia builds silicon that serves a million different customers. Every transistor spent on universal compatibility is a transistor not dedicated to one task. Tesla is building silicon for exactly one customer. Itself. When you strip away every function you will never call, you do not get a lesser chip. You get a weapon. Here is what the market refuses to see. Data centers drink unlimited power from the grid. Robots run on batteries. Musk: “In order to have a functional robot, you have to have a great AI chip. And it needs to be an inexpensive chip and it needs to be very power efficient.” You cannot put a Blackwell inside a walking machine. It would drain the battery before it crossed the room. The entire AI revolution lives inside air-conditioned buildings bolted to the electrical grid. Musk is not competing for that market. He is engineering the silicon that survives outside of it. One-third the power is not a spec sheet footnote. It is the physics threshold that severs intelligence from the wall socket. Without that number, every robot on Earth stays tethered. With it, the algorithm walks. Less than ten percent of the cost is not a pricing strategy. It is the line where a machine brain stops being a capital expenditure and becomes a commodity component. When the chip inside a humanoid costs less than the motors in its legs, you do not manufacture hundreds of robots. You manufacture millions. Wall Street is valuing the AI revolution by who dominates the data center. Musk is building the only silicon designed to leave one. Nvidia built the brain of the cloud. Musk is building the brain of the physical world. No one has priced that in yet.

Dustin

160,633 views • 4 months ago

Terafab is starting to sound like a lot more than just a chip factory! Tesla and SpaceX are reportedly putting $16.8B into phase one, with plans to handle everything from chip design and fabrication to memory, packaging and testing. The idea is basically to bring pieces of what TSMC, Micron and NVIDIA do under one roof. And the chips could eventually power everything from Tesla cars and Optimus to SpaceX data centers and AI compute in space. $TSLA $SPCX
18:36

Terafab is starting to sound like a lot more than just a chip factory! Tesla and SpaceX are reportedly putting $16.8B into phase one, with plans to handle everything from chip design and fabrication to memory, packaging and testing. The idea is basically to bring pieces of what TSMC, Micron and NVIDIA do under one roof. And the chips could eventually power everything from Tesla cars and Optimus to SpaceX data centers and AI compute in space. $TSLA $SPCX

Herbert Ong

29,062 views • 7 days ago

NEWS: SpaceX just made its AI space computer 67% more powerful, Elon Musk says The satellite is called AI1. It is basically a data center that floats in space and runs on sunlight instead of the power grid. Musk says its peak power is going up to ~250 kW, from 150 kW. Its average power is going up to 160 kW, from 120 kW. Why the boost. A single Nvidia Rubin NVL72 rack, 72 of Nvidia's newest AI chips, needs that much power to run. The bigger number means one AI1 can now handle a full rack. Musk's reasoning is simple. A GPU running all day uses about two-thirds of its peak power, even when it is very efficient. So the satellite has to be built for the peak. AI1 works with chips from any maker, not just Nvidia. SpaceX has filed to launch up to 1 million of these satellites. (Source: Elon Musk on X, July 16)
1:06

NEWS: SpaceX just made its AI space computer 67% more powerful, Elon Musk says The satellite is called AI1. It is basically a data center that floats in space and runs on sunlight instead of the power grid. Musk says its peak power is going up to ~250 kW, from 150 kW. Its average power is going up to 160 kW, from 120 kW. Why the boost. A single Nvidia Rubin NVL72 rack, 72 of Nvidia's newest AI chips, needs that much power to run. The bigger number means one AI1 can now handle a full rack. Musk's reasoning is simple. A GPU running all day uses about two-thirds of its peak power, even when it is very efficient. So the satellite has to be built for the peak. AI1 works with chips from any maker, not just Nvidia. SpaceX has filed to launch up to 1 million of these satellites. (Source: Elon Musk on X, July 16)

Muskonomy

56,507 views • 1 month ago

The realization over the last two extensions has come home to roost. There is not going to be a purchase of TikTok with the Chinese algorithm. We know that we can't buy the algorithm so we're gonna have to rewrite this whole thing, but while we're doing that, we're gonna try and solve for all the litigation that social media gets all stemming from the fact that the platform owns the data and the customer doesn't. I think we're gonna have to fix that. So our proposal is to fix that and not use the Chinese algorithm. When you issue a chip, let's say you take an NVIDIA chip, that chip is a queen bee. It sits in the center of the hive and every programmer that uses that chip is the honeybee. It spends millions of hours training on that chip, learning that chip, writing code for that chip and developing AI for that chip. That's the honey. There's only gonna be two kinds of honey on Earth. American or Chinese. Now if you want the world to be running on Chinese honey, stop shipping American queen bee chips, and that is what is happening right now.
6:11

The realization over the last two extensions has come home to roost. There is not going to be a purchase of TikTok with the Chinese algorithm. We know that we can't buy the algorithm so we're gonna have to rewrite this whole thing, but while we're doing that, we're gonna try and solve for all the litigation that social media gets all stemming from the fact that the platform owns the data and the customer doesn't. I think we're gonna have to fix that. So our proposal is to fix that and not use the Chinese algorithm. When you issue a chip, let's say you take an NVIDIA chip, that chip is a queen bee. It sits in the center of the hive and every programmer that uses that chip is the honeybee. It spends millions of hours training on that chip, learning that chip, writing code for that chip and developing AI for that chip. That's the honey. There's only gonna be two kinds of honey on Earth. American or Chinese. Now if you want the world to be running on Chinese honey, stop shipping American queen bee chips, and that is what is happening right now.

Kevin O'Leary aka Mr. Wonderful

43,532 views • 1 year ago

NEWS: Nvidia CEO Jensen Huang announced today that the company is working on a new chip/computer for orbital data-centers called Nvidia Vera Rubin Space-1. "It's going to start data-centers out in space. Of course, in space there's no conduction, no convection, there's just radiation, so we have to figure out how to cool these systems out in space, but we got lots of great engineers working on it."
0:46

NEWS: Nvidia CEO Jensen Huang announced today that the company is working on a new chip/computer for orbital data-centers called Nvidia Vera Rubin Space-1. "It's going to start data-centers out in space. Of course, in space there's no conduction, no convection, there's just radiation, so we have to figure out how to cool these systems out in space, but we got lots of great engineers working on it."

Sawyer Merritt

457,069 views • 5 months ago

Elon Musk: Thanks to Starship, we'll be able to move AI to deep space. “I see a path to Starship cost-per-ton-to-orbit being lower than air flight. That opens up a very wide range of possibilities. The most obvious one I think is actually solar-powered AI satellites. So, to move the AI to orbit and essentially deep space over time, because you can actually access over a billion times more energy from the sun in deep space than you can on Earth. To scale to Kardashev, to make any progress on a Kardashev 2 scale, which is using some non-trivial amount of energy from the sun, you kind of have to do space solar power. You could only beam a tiny amount of that back to Earth or you would melt Earth. Earth actually receives a very, very tiny amount of the sun's energy. I mean, Earth is a tiny dust mote. Earth, to scale with the sun, we look like a little crumb. So, to scale civilization, to be at all relevant on a Kardashev 2 scale, like to even use a millionth of a percent of the Sun's energy, you really have to have your solar power in deep space.” Tesla Shareholder Meeting, November 6, 2025
1:27

Elon Musk: Thanks to Starship, we'll be able to move AI to deep space. “I see a path to Starship cost-per-ton-to-orbit being lower than air flight. That opens up a very wide range of possibilities. The most obvious one I think is actually solar-powered AI satellites. So, to move the AI to orbit and essentially deep space over time, because you can actually access over a billion times more energy from the sun in deep space than you can on Earth. To scale to Kardashev, to make any progress on a Kardashev 2 scale, which is using some non-trivial amount of energy from the sun, you kind of have to do space solar power. You could only beam a tiny amount of that back to Earth or you would melt Earth. Earth actually receives a very, very tiny amount of the sun's energy. I mean, Earth is a tiny dust mote. Earth, to scale with the sun, we look like a little crumb. So, to scale civilization, to be at all relevant on a Kardashev 2 scale, like to even use a millionth of a percent of the Sun's energy, you really have to have your solar power in deep space.” Tesla Shareholder Meeting, November 6, 2025

ELON CLIPS

14,003 views • 8 months ago