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Proof of work has always demanded a brutal trade-off - to secure a monetary network, you burn energy on the scale of entire countries. Meanwhile, hundreds of billions poured into AI - all for one operation at massive scale - matrix multiplication. For years, these energy markets were disjoint.... show more

Pearl Research Labs

11,878 subscribers

15,990 Aufrufe • vor 2 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 Kommentare

Profilbild von Kevin Simback 🍷

Kevin Simback 🍷vor 2 Monaten

The concept is beautiful, the genuine question I have is - who needs your block space given the wide variety of alternatives?

Profilbild von 希望 🔶 BNB

希望 🔶 BNBvor 2 Monaten

is it legit video ? @grok

Profilbild von ethersole

ethersolevor 2 Monaten

website hasn't been working for quite some time now... any updates?

Profilbild von RR

RRvor 2 Monaten

GPU cycles doing double duty is genius

Profilbild von 弋扬

弋扬vor 2 Monaten

this kinda wild

Profilbild von Pearl Trade

Pearl Tradevor 2 Monaten

Full video's finally out 👀

Profilbild von zkComRi.ETH

zkComRi.ETHvor 2 Monaten

ai miners incoming

Profilbild von DineroDom

DineroDomvor 2 Monaten

Come on @MCGlive and give us the scoop

Profilbild von Mikael

Mikaelvor 2 Monaten

Wen @binance

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Since Bitcoin, a major open problem in distributed systems was whether proof-of-work consensus can be implemented on top of real-world computation rather than useless random hashing. This challenge of PoUW was repeatedly conjectured impossible by researchers and thought leaders. They were wrong.

Since Bitcoin, a major open problem in distributed systems was whether proof-of-work consensus can be implemented on top of real-world computation rather than useless random hashing. This challenge of PoUW was repeatedly conjectured impossible by researchers and thought leaders. They were wrong.

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$Elon Musk measures every civilization by a single number. By that number, we have not begun. Not by armies. Not by gold. By energy. By how much of it you can actually hold. A Russian physicist named Kardashev drew the scale in the sixties. The first rung should be easy. Musk: “If you’re Type I, you’re using most the energy of your planet.” That is not greatness. That is the entry fee. The moment a species stops being primitive. We have not paid it. Musk: “We’re still using a tiny fraction of the sun’s energy that reaches our planet.” And what reaches us is already almost nothing. Musk: “The Earth only receives about half a billionth of the sun’s energy.” Half a billionth. That is the entire inheritance of everyone who has ever lived. And we built everything we know on the fraction we bothered to catch. Musk: “The sun is 99.8 percent of all mass in the solar system.” Everything you have ever called the world is the rounding error. Every empire, every fortune, every border rose and fell inside a fraction of a fraction. Every war was fought over scraps. Beneath a furnace pouring out more in a single second than we will burn in a hundred years. Every economy ever designed assumed there was not enough. The sun disproved that assumption every morning since the Earth was formed. The abundance was never missing. It fell on us the whole time. We kept our eyes on the dirt. So the scale stops being a measurement. It becomes a verdict. It does not ask how advanced you are. It asks how much smallness you agreed to. Musk looked at the same sky as everyone else. And refused to sign. Scarcity was never handed to us. The sun never rationed anything. We did.$

Elon Musk measures every civilization by a single number. By that number, we have not begun. Not by armies. Not by gold. By energy. By how much of it you can actually hold. A Russian physicist named Kardashev drew the scale in the sixties. The first rung should be easy. Musk: “If you’re Type I, you’re using most the energy of your planet.” That is not greatness. That is the entry fee. The moment a species stops being primitive. We have not paid it. Musk: “We’re still using a tiny fraction of the sun’s energy that reaches our planet.” And what reaches us is already almost nothing. Musk: “The Earth only receives about half a billionth of the sun’s energy.” Half a billionth. That is the entire inheritance of everyone who has ever lived. And we built everything we know on the fraction we bothered to catch. Musk: “The sun is 99.8 percent of all mass in the solar system.” Everything you have ever called the world is the rounding error. Every empire, every fortune, every border rose and fell inside a fraction of a fraction. Every war was fought over scraps. Beneath a furnace pouring out more in a single second than we will burn in a hundred years. Every economy ever designed assumed there was not enough. The sun disproved that assumption every morning since the Earth was formed. The abundance was never missing. It fell on us the whole time. We kept our eyes on the dirt. So the scale stops being a measurement. It becomes a verdict. It does not ask how advanced you are. It asks how much smallness you agreed to. Musk looked at the same sky as everyone else. And refused to sign. Scarcity was never handed to us. The sun never rationed anything. We did.

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Elon Musk: The sun generates a billion times more energy than everything on Earth combined. “As soon as you start thinking about things at a grander scale, like Kardashev Scale 2 civilizations, it becomes very obvious. Anyone who studies physics has known this for a very long time. Kardashev was a Russian physicist who came up with this idea in the 60s, as a way to classify civilizations. - Kardashev Scale 1: You've harnessed most of the energy of the planet. - Kardashev Scale 2: You've harnessed most of the energy of your sun. - Kardashev Scale 3: You've harnessed most of the energy of your galaxy. We're only about 1% or a few percent of Kardashev Scale 1 right now, optimistically. But as soon as you go to Kardashev Scale 2, then you're really just saying everything is solar power and the rest is in the noise. The sun produces about a billion times more energy than everything on Earth combined.” All-In Podcast, October 31, 2025

Elon Musk: The sun generates a billion times more energy than everything on Earth combined. “As soon as you start thinking about things at a grander scale, like Kardashev Scale 2 civilizations, it becomes very obvious. Anyone who studies physics has known this for a very long time. Kardashev was a Russian physicist who came up with this idea in the 60s, as a way to classify civilizations. - Kardashev Scale 1: You've harnessed most of the energy of the planet. - Kardashev Scale 2: You've harnessed most of the energy of your sun. - Kardashev Scale 3: You've harnessed most of the energy of your galaxy. We're only about 1% or a few percent of Kardashev Scale 1 right now, optimistically. But as soon as you go to Kardashev Scale 2, then you're really just saying everything is solar power and the rest is in the noise. The sun produces about a billion times more energy than everything on Earth combined.” All-In Podcast, October 31, 2025

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Elon Musk just said the most important economic sentence of the decade. Wall Street still hasn’t processed it. Musk: “At a very high level, I’d say that autonomy is an insanely fundamental breakthrough. And no one is even close to Tesla.” Not slightly ahead. No one is even close. While the entire automotive industry spent a century perfecting a machine that sits parked 95% of its life, Musk was asking a different question. What if the car was just the beginning? Musk: “With self-driving, the car becomes roughly five times more useful, but it costs the same to build.” Same factory. Same steel. Five times the utility. Musk: “Can you imagine what would happen if a company were doing 25% to 30% gross margins, but suddenly that same thing was five times more valuable. It boggles the mind, actually.” That is not a product upgrade. That is the most violent repricing of a physical asset in modern economic history. But the car was never the real product. Musk: “We will leverage our manufacturing expertise and the intelligence we’ve developed for self-driving to have a useful humanoid robot.” The neural network that absorbed every edge case, every near-miss, every chaotic road condition at a scale no research program on earth could replicate. Now gets a body. Musk: “The economy is fundamentally GDP per capita times capita.” In every civilization that has ever existed, output had one hard ceiling. The number of human bodies available to work. Musk: “If you no longer have a constraint on capita because of a useful humanoid robot, it’s not clear that there’s any limit to the size of the economy.” Not a new market cycle. The permanent demolition of the only ceiling every economy in human history has ever shared. Every mile a Tesla drives is a training rep. No simulation. No research grant. No government contract. A self-funding intelligence machine built on public roads, financed by the largest crowdsourced real-world training program in history. The competitors still selling traditional vehicles are not losing market share. They are being made mathematically obsolete by a man who used the car industry as a vessel to build something that has never existed before. The car was never the destination. It was the most ambitious laboratory ever built, hiding in plain sight on every road on earth. A neural network forged in real traffic, real weather, real consequences at global scale. Ready to walk into every factory, every hospital, every warehouse on earth. The highway was never the ceiling. It was the floor.

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Gilbert Strang, the legendary mathematician who taught linear algebra for 61 years and became the most watched math professor in history: "I used to think a matrix was just a grid of numbers, until I proved that its rows and columns always agree on one number no matter how you look at them. That fact still feels like magic to me after sixty years." this is the exact proof sitting quietly underneath every factor model a risk desk trusts with real capital, and almost nobody outside a math department has ever seen it. strip away the notation and the idea is almost absurdly simple. take any matrix, any grid of numbers, and count how many of its rows are truly independent, meaning none of them can be built out of the others. now count the independent columns instead, a completely different question on the surface. those two numbers, row independence and column independence, always turn out exactly equal, no matter how large or lopsided the matrix is. nobody presenting a clean risk model out loud credits a decades old proof for the reason the math even holds together. zoom out to what this means for anything built on a grid of numbers today. a portfolio, a covariance matrix, a neural network's weights, all of them hide a true dimension smaller than their size suggests, and that hidden number is exactly what this proof pins down. the industry sells complexity as scale, more assets, more parameters, more rows and columns. but the real question was never how big the matrix is. it's how many independent directions are actually hiding inside it. the size of the grid was never the real story. it was the one number both sides of it were quietly agreeing on the whole time.

Gilbert Strang, the legendary mathematician who taught linear algebra for 61 years and became the most watched math professor in history: "I used to think a matrix was just a grid of numbers, until I proved that its rows and columns always agree on one number no matter how you look at them. That fact still feels like magic to me after sixty years." this is the exact proof sitting quietly underneath every factor model a risk desk trusts with real capital, and almost nobody outside a math department has ever seen it. strip away the notation and the idea is almost absurdly simple. take any matrix, any grid of numbers, and count how many of its rows are truly independent, meaning none of them can be built out of the others. now count the independent columns instead, a completely different question on the surface. those two numbers, row independence and column independence, always turn out exactly equal, no matter how large or lopsided the matrix is. nobody presenting a clean risk model out loud credits a decades old proof for the reason the math even holds together. zoom out to what this means for anything built on a grid of numbers today. a portfolio, a covariance matrix, a neural network's weights, all of them hide a true dimension smaller than their size suggests, and that hidden number is exactly what this proof pins down. the industry sells complexity as scale, more assets, more parameters, more rows and columns. but the real question was never how big the matrix is. it's how many independent directions are actually hiding inside it. the size of the grid was never the real story. it was the one number both sides of it were quietly agreeing on the whole time.

MindArch

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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.

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The White House just launched the Genesis Mission and a new National Security Strategy. Doubling down on AI-driven discovery, energy dominance, and ironclad national security. Core requirement? Secure, tamper-proof data infrastructure and immutable tracking across defense and energy. That’s exactly what Constellation Network has been building and deploying at scale with Dept of War We’re not waiting for the future of secure data — we’re already running it. The transparency economy isn’t coming. It’s here. $DAG 🇺🇸

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