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Elon Musk says the AI community underestimates "intelligence density" potential by two orders of magnitude We could extract 100x more intelligence per gigabyte, per watt, per transistor — just from algorithmic improvements alone "we're looking at 10x smarter AI every year"

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Haider.

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126,629 views • 8 months ago •via X (Twitter)

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2026: AGI achieved. 2030: AI surpasses the intelligence of all humans combined. Intelligence density per gigabyte: 10x improvement per year.
0:47

2026: AGI achieved. 2030: AI surpasses the intelligence of all humans combined. Intelligence density per gigabyte: 10x improvement per year.

Peter H. Diamandis, MD

74,074 views • 8 months ago

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

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

X Freeze

43,113 views • 8 months ago

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

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

Dustin

1,554,512 views • 6 months ago

TESLA ISN'T JUST AHEAD IN AI, IT'S AN ORDER OF MAGNITUDE MORE EFFICIENT THAN THE REST OF THE WORLD "I actually think Tesla is ahead of the rest of the world in intelligence density of AI by an order of magnitude or more This is going to sound like a pretty bold statement, but I know what the intelligence efficiency of the big models are like, Grok and a bunch of the other models Tesla’s AI is, in terms of its memory efficiency, I think more than an order of magnitude better. The Tesla AI is very compute-efficient and very memory-efficient One of the metrics one should consider for any given AI model is the intelligence per gigabyte. Especially when you’re constrained on RAM, having an AI that has very high intelligence density per gigabyte for a given number of gigabytes, how much functionality can you get out of it" - Elon Musk
0:59

TESLA ISN'T JUST AHEAD IN AI, IT'S AN ORDER OF MAGNITUDE MORE EFFICIENT THAN THE REST OF THE WORLD "I actually think Tesla is ahead of the rest of the world in intelligence density of AI by an order of magnitude or more This is going to sound like a pretty bold statement, but I know what the intelligence efficiency of the big models are like, Grok and a bunch of the other models Tesla’s AI is, in terms of its memory efficiency, I think more than an order of magnitude better. The Tesla AI is very compute-efficient and very memory-efficient One of the metrics one should consider for any given AI model is the intelligence per gigabyte. Especially when you’re constrained on RAM, having an AI that has very high intelligence density per gigabyte for a given number of gigabytes, how much functionality can you get out of it" - Elon Musk

X Freeze

62,736 views • 7 months ago

Elon Musk says AI is improving at the rate of at least 10x per year and will be able to do anything a human can do in a year or two and be equal to the intelligence of all humans combined 3 years after that
1:30

Elon Musk says AI is improving at the rate of at least 10x per year and will be able to do anything a human can do in a year or two and be equal to the intelligence of all humans combined 3 years after that

Tsarathustra

160,593 views • 1 year ago

Elon Musk just said the computers we already have are running at roughly one percent of the intelligence they could hold. Musk: “Most people in the AI community don’t yet understand. The intelligence density potential is vastly greater than what we’re currently experiencing.” The race everyone can see is physical. It runs on land, transformers, cooling, and silicon shipped by the ton. Musk: “I think we’re off by two orders of magnitude in terms of intelligence density per gigabyte.” Two orders of magnitude means a hundredfold. He’s measuring that against machines already running in data centers. Musk: “That’s just algorithmic improvement. Same computer.” Same silicon. Same power draw. A hundred times the intelligence packed inside, unlocked by understanding alone. Every industrial curve before this was tied to something you had to dig out of the ground. Understanding has nothing to mine, and ideas arrive faster than steel. Musk: “And the computers are getting better. That’s why I think it is a 10x improvement per year type thing. 1,000 percent.” Those are two separate curves. Denser software running on faster hardware, and the two multiply instead of adding. Ten times in a year. A hundred in two. A thousand in three. Most people are still arguing about whether it writes a decent email. Nature settled this argument a long time ago. The human brain runs general intelligence on about twenty watts. Extreme intelligence density is the oldest working example on the planet. The hundredfold gap measures how little we understand the machines we’ve already built. Ignorance closes faster than concrete pours. The hardware for superintelligence is probably already sitting in racks. Someone just has to write it.
1:18

Elon Musk just said the computers we already have are running at roughly one percent of the intelligence they could hold. Musk: “Most people in the AI community don’t yet understand. The intelligence density potential is vastly greater than what we’re currently experiencing.” The race everyone can see is physical. It runs on land, transformers, cooling, and silicon shipped by the ton. Musk: “I think we’re off by two orders of magnitude in terms of intelligence density per gigabyte.” Two orders of magnitude means a hundredfold. He’s measuring that against machines already running in data centers. Musk: “That’s just algorithmic improvement. Same computer.” Same silicon. Same power draw. A hundred times the intelligence packed inside, unlocked by understanding alone. Every industrial curve before this was tied to something you had to dig out of the ground. Understanding has nothing to mine, and ideas arrive faster than steel. Musk: “And the computers are getting better. That’s why I think it is a 10x improvement per year type thing. 1,000 percent.” Those are two separate curves. Denser software running on faster hardware, and the two multiply instead of adding. Ten times in a year. A hundred in two. A thousand in three. Most people are still arguing about whether it writes a decent email. Nature settled this argument a long time ago. The human brain runs general intelligence on about twenty watts. Extreme intelligence density is the oldest working example on the planet. The hundredfold gap measures how little we understand the machines we’ve already built. Ignorance closes faster than concrete pours. The hardware for superintelligence is probably already sitting in racks. Someone just has to write it.

Dustin

39,794 views • 20 days ago

Elon Musk: "I think we'll hit AGI next year, in '26" "I'm confident by 2030, AI will exceed the intelligence of all humans combined" And that's way pessimistic. If you hit AGI next year and that date is in flux but from that date to self-improvements that are on the order of 1,000 to 10,000x just algorithmic improvements... is very short So why is nobody talking about this right now? on 𝕏 they are..... everyday basically I'll tell you something that most people in the AI community don't yet understand Almost no one understands this. The intelligence density potential is vastly greater than what we're currently experiencing
1:08

Elon Musk: "I think we'll hit AGI next year, in '26" "I'm confident by 2030, AI will exceed the intelligence of all humans combined" And that's way pessimistic. If you hit AGI next year and that date is in flux but from that date to self-improvements that are on the order of 1,000 to 10,000x just algorithmic improvements... is very short So why is nobody talking about this right now? on 𝕏 they are..... everyday basically I'll tell you something that most people in the AI community don't yet understand Almost no one understands this. The intelligence density potential is vastly greater than what we're currently experiencing

X Freeze

33,585 views • 8 months ago

ELON MUSK: We could hit AGI as soon as this year, and by around 2030 AI could exceed the intelligence of all humans combined.
0:46

ELON MUSK: We could hit AGI as soon as this year, and by around 2030 AI could exceed the intelligence of all humans combined.

DogeDesigner

58,717 views • 8 months ago

Elon Musk AI will likely surpass the intelligence of the smartest individual human within the next year or two ...and by around 2029 or 2030, it could potentially surpass the combined intelligence of all humans
0:27

Elon Musk AI will likely surpass the intelligence of the smartest individual human within the next year or two ...and by around 2029 or 2030, it could potentially surpass the combined intelligence of all humans

Haider.

24,114 views • 1 year ago

Eric Schmidt says the cost of AI answers is dropping 10x every year it's not just cheaper tokens -- it's better algorithms, smarter context handling, and faster computation "the industrialization of intelligence is here"
0:41

Eric Schmidt says the cost of AI answers is dropping 10x every year it's not just cheaper tokens -- it's better algorithms, smarter context handling, and faster computation "the industrialization of intelligence is here"

Haider.

24,376 views • 1 year ago

Sam Altman says an AI glut is inevitable, maybe in 2-3 years, maybe 5-6, and likely more than once Costs have fallen 40x per year per unit of intelligence, which strains infrastructure "if breakthroughs continue, personal AGIs could run on laptops" We expect demand to grow, but some people will get burned
0:47

Sam Altman says an AI glut is inevitable, maybe in 2-3 years, maybe 5-6, and likely more than once Costs have fallen 40x per year per unit of intelligence, which strains infrastructure "if breakthroughs continue, personal AGIs could run on laptops" We expect demand to grow, but some people will get burned

Haider.

977,680 views • 10 months ago

Elon Musk: “The next step beyond Earth data centers is Earth orbital data centers. We’ll be launching SpaceX orbital data centers at the 100 to 200 gigawatt per year level — not cumulative, per year. Ultimately we see a path to maybe launching as much as a terawatt per year of compute from Earth. But if you want to go beyond a terawatt per year, you have to go to the moon. By having factories on the moon building AI satellites, and having a mass driver — something you usually only read about in science fiction but we’re going to make it real. If you do that, you can go several orders of magnitude greater, to 1,000 gigawatts or more per year, and ultimately maybe even a few percent of the sun’s energy. It’s difficult to imagine what an intelligence of that scale would think about, but it’s going to be incredibly exciting.”
1:13

Elon Musk: “The next step beyond Earth data centers is Earth orbital data centers. We’ll be launching SpaceX orbital data centers at the 100 to 200 gigawatt per year level — not cumulative, per year. Ultimately we see a path to maybe launching as much as a terawatt per year of compute from Earth. But if you want to go beyond a terawatt per year, you have to go to the moon. By having factories on the moon building AI satellites, and having a mass driver — something you usually only read about in science fiction but we’re going to make it real. If you do that, you can go several orders of magnitude greater, to 1,000 gigawatts or more per year, and ultimately maybe even a few percent of the sun’s energy. It’s difficult to imagine what an intelligence of that scale would think about, but it’s going to be incredibly exciting.”

Mars University

14,073 views • 1 month ago

“AI COULD SOON THINK 100× TO 1,000× FASTER THAN HUMANS.” Emad Mostaque says AI systems are about to become dramatically faster as specialized AI hardware improves. He says humans currently operate at roughly 20–30 tokens per second, while current AI models are around 40 tokens per second. He points to Taalas' technology, which he says demonstrated an 8-billion-parameter model generating around 14,000 tokens per second. Mostaque says current AI systems are effectively “thinking at the speed of a human”, but that will soon change. He predicts AI systems could reach 1,000 tokens per second, followed by 10,000 tokens per second by the end of next year. His broader point is that AI could eventually “think a thousand times faster” than humans.
1:58

“AI COULD SOON THINK 100× TO 1,000× FASTER THAN HUMANS.” Emad Mostaque says AI systems are about to become dramatically faster as specialized AI hardware improves. He says humans currently operate at roughly 20–30 tokens per second, while current AI models are around 40 tokens per second. He points to Taalas' technology, which he says demonstrated an 8-billion-parameter model generating around 14,000 tokens per second. Mostaque says current AI systems are effectively “thinking at the speed of a human”, but that will soon change. He predicts AI systems could reach 1,000 tokens per second, followed by 10,000 tokens per second by the end of next year. His broader point is that AI could eventually “think a thousand times faster” than humans.

SciTech Era

12,824 views • 19 days ago

Elon Musk today at the G20 Summit: “AI will increase the global economy by 20% to 30%, or about $20 trillion to $30 trillion per year. By the end of next year, AI could do anything digital, and humans may no longer be able to compete with it in writing software at all.”
1:19

Elon Musk today at the G20 Summit: “AI will increase the global economy by 20% to 30%, or about $20 trillion to $30 trillion per year. By the end of next year, AI could do anything digital, and humans may no longer be able to compete with it in writing software at all.”

DogeDesigner

173,803 views • 19 days ago

ELON MUSK: Tesla FSD is already a tremendous boon, and digital AI alone could increase the global economy by 20% to 30% “The Tesla self-driving is already a tremendous boon to users. I think AI will probably increase the total global economy by 20% to 30%. That’s my rough estimate, meaning on the order of $20 trillion to $30 trillion per year. This is quite a lot of prosperity, just from digital AI.”
2:47

ELON MUSK: Tesla FSD is already a tremendous boon, and digital AI alone could increase the global economy by 20% to 30% “The Tesla self-driving is already a tremendous boon to users. I think AI will probably increase the total global economy by 20% to 30%. That’s my rough estimate, meaning on the order of $20 trillion to $30 trillion per year. This is quite a lot of prosperity, just from digital AI.”

DogeDesigner

32,854 views • 19 days ago

ELON MUSK: "We see a path to putting 100 gigawatts per year of solar-powered AI satellite into orbit. And having this be actually the lowest cost way to power and operate AI at a very large scale For reference, the United States consumes roughly 460 gigawatts on average per year. Because the average power load in the US is 460 gigawatts"
0:51

ELON MUSK: "We see a path to putting 100 gigawatts per year of solar-powered AI satellite into orbit. And having this be actually the lowest cost way to power and operate AI at a very large scale For reference, the United States consumes roughly 460 gigawatts on average per year. Because the average power load in the US is 460 gigawatts"

X Freeze

9,045,176 views • 10 months ago

ARR per FTE is a measure we're looking at more and more for AI companies. The very best AI companies are seeing $500k+ ARR/FTE, a bump from what we historically saw for SaaS businesses, as immense demand for AI products drives efficiency. a16z
0:58

ARR per FTE is a measure we're looking at more and more for AI companies. The very best AI companies are seeing $500k+ ARR/FTE, a bump from what we historically saw for SaaS businesses, as immense demand for AI products drives efficiency. a16z

David George

21,805 views • 7 months ago