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🚨SPACEX DIDN'T ACQUIRE CURSOR FOR TALENT A rocket company buying software for the largest startup acquisition in history Here's what almost nobody realizes: They didn't buy a talent or a coding app. They bought the data underneath it. Cursor's users generate ~150 million lines of code a day. Every...

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35,571 views • 1 month ago •via X (Twitter)

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BREAKING: SPACEX IS BUYING ITS WAY INTO THE AI CODING WAR FOR $60 BILLION. 🇺🇸 Musk's SpaceX agreed to acquire Anysphere, the company behind Cursor, in a $60,000,000,000 all-stock deal, days after its record Nasdaq IPO. Cursor competes directly with Anthropic's Claude Code and OpenAI's Codex. This deal hands xAI a foothold in a market where it was lagging, overnight. Revenue around $2,600,000,000 annualized. A $10,000,000,000 breakup fee shows how badly Musk wanted it. The AI coding race just went from a startup fight to a clash of trillion-dollar empires.
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BREAKING: SPACEX IS BUYING ITS WAY INTO THE AI CODING WAR FOR $60 BILLION. 🇺🇸 Musk's SpaceX agreed to acquire Anysphere, the company behind Cursor, in a $60,000,000,000 all-stock deal, days after its record Nasdaq IPO. Cursor competes directly with Anthropic's Claude Code and OpenAI's Codex. This deal hands xAI a foothold in a market where it was lagging, overnight. Revenue around $2,600,000,000 annualized. A $10,000,000,000 breakup fee shows how badly Musk wanted it. The AI coding race just went from a startup fight to a clash of trillion-dollar empires.

Merlijn The Trader

75,853 views • 3 months ago

in software, we're entering a new age of skyscrapers: rather than a small group of humans hand-typing code into a computer, software is now built by thousands of humans and agents working together to build applications at a scale that was previously unthinkable. the unsung heroes of this new era are infrastructure engineers. they are the people who are figuring out how to make software with 100x the amount of code, and 1000x the amount of contributors actually work OpenAI is one of the few companies already operating at this scale so we Every 📧 spent a few days deep inside of the company to learn how their infrastructure team thinks about building software skyscrapers—and how they use agents to do it one of the most important articles we've written this year:
0:10

in software, we're entering a new age of skyscrapers: rather than a small group of humans hand-typing code into a computer, software is now built by thousands of humans and agents working together to build applications at a scale that was previously unthinkable. the unsung heroes of this new era are infrastructure engineers. they are the people who are figuring out how to make software with 100x the amount of code, and 1000x the amount of contributors actually work OpenAI is one of the few companies already operating at this scale so we Every 📧 spent a few days deep inside of the company to learn how their infrastructure team thinks about building software skyscrapers—and how they use agents to do it one of the most important articles we've written this year:

Dan Shipper

14,911 views • 2 months ago

I’ve been using Rork as a partner for over a year and have built more than 10 projects with it, including both apps and games. You can absolutely build an app from development all the way to a production launch on the App Store with AI. Users don’t care what you used to build your app. They care whether it solves their problem and how well you distribute it. For an MVP to test the market, you don’t need a huge team, an outsourcing company, or to spend tens of thousands of dollars. 🥴
0:15

I’ve been using Rork as a partner for over a year and have built more than 10 projects with it, including both apps and games. You can absolutely build an app from development all the way to a production launch on the App Store with AI. Users don’t care what you used to build your app. They care whether it solves their problem and how well you distribute it. For an MVP to test the market, you don’t need a huge team, an outsourcing company, or to spend tens of thousands of dollars. 🥴

Alex Nguyen

12,220 views • 1 month ago

You've probably scrolled past a dozen posts about Jev this week without anyone telling you what it actually is. It's the first model from TypeSafe, a lab started by one of the researchers behind ChatGPT. It's a decision engine: you give it options, it picks one and tells you how sure it is. It cannot write a single word, and that is the interesting part. Every other AI you use writes. That is the whole interface. So when software needs a plain yes or no, we make a model write a paragraph and then dig the answer back out of it. Fine in a chat window where a human reads it. Bad inside software, where code has to act on it. The bet is that the valuable half was never the writing. It was the deciding. That problem showed up in WordPress years ago, and it is the reason WPVibe works the way it does. The AI does the work. Anything permanent stops and waits, because a delete that skips the trash is not something software should decide on its own.
0:14

You've probably scrolled past a dozen posts about Jev this week without anyone telling you what it actually is. It's the first model from TypeSafe, a lab started by one of the researchers behind ChatGPT. It's a decision engine: you give it options, it picks one and tells you how sure it is. It cannot write a single word, and that is the interesting part. Every other AI you use writes. That is the whole interface. So when software needs a plain yes or no, we make a model write a paragraph and then dig the answer back out of it. Fine in a chat window where a human reads it. Bad inside software, where code has to act on it. The bet is that the valuable half was never the writing. It was the deciding. That problem showed up in WordPress years ago, and it is the reason WPVibe works the way it does. The AI does the work. Anything permanent stops and waits, because a delete that skips the trash is not something software should decide on its own.

John Turner

21,029 views • 20 days ago

Jeff Bezos just told you exactly how to price AI. Nobody listened. Bezos: “AI is real and it is going to change every industry. In fact it’s a very unusual technology in that regard in that it’s a horizontal enabling layer.” Horizontal enabling layer. Three words that reprice the entire technology sector. The iPhone was a vertical. One product. One new market. Electricity was a horizontal. One substrate that rewired every market on Earth. Wall Street is pricing AI like it is the next iPhone. Bezos is telling you it is the next electrical grid. Right now, thousands of companies are trying to sell AI as a product. A feature. A tool. A subscription tier. Every single one of them will be priced to zero. You do not sell a horizontal layer. You do not compete with it. You build on top of it or you disappear beneath it. For a century, entire industries survived on one thing. Complexity. The friction of navigating law, medicine, logistics, finance. That was the moat. If you could not memorize the maze, you could not compete. A horizontal layer does not navigate the maze. It dissolves the walls. Electricity did not compete with the candle industry. It erased the need for one. The most dangerous part of a horizontal shift is how quiet it is. It moves underneath the economy. The surface looks normal. Revenue still holds. Every day you operate on the old substrate, you accumulate a debt you cannot see and cannot repay. The internet repriced distribution. AI is repricing cognition itself. When intelligence becomes a utility that runs through the walls of every company on Earth, the premium on human expertise does not erode. It evaporates. This is not a disruption. Disruptions replace products. This replaces the ground you are standing on.
0:16

Jeff Bezos just told you exactly how to price AI. Nobody listened. Bezos: “AI is real and it is going to change every industry. In fact it’s a very unusual technology in that regard in that it’s a horizontal enabling layer.” Horizontal enabling layer. Three words that reprice the entire technology sector. The iPhone was a vertical. One product. One new market. Electricity was a horizontal. One substrate that rewired every market on Earth. Wall Street is pricing AI like it is the next iPhone. Bezos is telling you it is the next electrical grid. Right now, thousands of companies are trying to sell AI as a product. A feature. A tool. A subscription tier. Every single one of them will be priced to zero. You do not sell a horizontal layer. You do not compete with it. You build on top of it or you disappear beneath it. For a century, entire industries survived on one thing. Complexity. The friction of navigating law, medicine, logistics, finance. That was the moat. If you could not memorize the maze, you could not compete. A horizontal layer does not navigate the maze. It dissolves the walls. Electricity did not compete with the candle industry. It erased the need for one. The most dangerous part of a horizontal shift is how quiet it is. It moves underneath the economy. The surface looks normal. Revenue still holds. Every day you operate on the old substrate, you accumulate a debt you cannot see and cannot repay. The internet repriced distribution. AI is repricing cognition itself. When intelligence becomes a utility that runs through the walls of every company on Earth, the premium on human expertise does not erode. It evaporates. This is not a disruption. Disruptions replace products. This replaces the ground you are standing on.

Dustin

542,327 views • 5 months ago

The world just paid $2 trillion for a rocket company that lost $4.9 billion last year. And the rockets are not why it lost the money. They are the only part making any. SpaceX went public Friday, the largest IPO in history. Up 19%, a $2 trillion valuation, Elon Musk the first trillionaire. Then you open the filing. Three businesses sit inside it. Starlink, the satellites, brought in $11.4 billion, 61% of all revenue, and $4.4 billion in profit. It is the only piece that earns a dollar. The rockets that land themselves run a small loss reinvesting in Starship. And the AI arm, Grok plus the app once called Twitter, folded in this February, lost $6.4 billion in a single year on $12.7 billion of spending. Read that again. The satellites pay for everything. The AI loses more than the satellites make. And the AI is the part the market fell in love with. It gets bolder. The prospectus claims a total market of $28.5 trillion, the largest any company has ever put in a filing. Larger than the GDP of the United States. That is the number underwriting a $2 trillion price tag built on a division bleeding $6 billion a year. Now the structure. About 4% of the company trades. That sliver sets the price for all of it. Musk is locked up for 366 days and holds roughly 80% of the votes. The public bought a company they cannot steer, priced on the one segment losing the most. This is the whole year in one ticker. The profit is satellites. The story is AI. The market bought the story. The rockets were never the risk. The risk is a $2 trillion price resting on the one bet that has yet to make a cent.
0:10

The world just paid $2 trillion for a rocket company that lost $4.9 billion last year. And the rockets are not why it lost the money. They are the only part making any. SpaceX went public Friday, the largest IPO in history. Up 19%, a $2 trillion valuation, Elon Musk the first trillionaire. Then you open the filing. Three businesses sit inside it. Starlink, the satellites, brought in $11.4 billion, 61% of all revenue, and $4.4 billion in profit. It is the only piece that earns a dollar. The rockets that land themselves run a small loss reinvesting in Starship. And the AI arm, Grok plus the app once called Twitter, folded in this February, lost $6.4 billion in a single year on $12.7 billion of spending. Read that again. The satellites pay for everything. The AI loses more than the satellites make. And the AI is the part the market fell in love with. It gets bolder. The prospectus claims a total market of $28.5 trillion, the largest any company has ever put in a filing. Larger than the GDP of the United States. That is the number underwriting a $2 trillion price tag built on a division bleeding $6 billion a year. Now the structure. About 4% of the company trades. That sliver sets the price for all of it. Musk is locked up for 366 days and holds roughly 80% of the votes. The public bought a company they cannot steer, priced on the one segment losing the most. This is the whole year in one ticker. The profit is satellites. The story is AI. The market bought the story. The rockets were never the risk. The risk is a $2 trillion price resting on the one bet that has yet to make a cent.

Shanaka Anslem Perera ⚡

722,235 views • 3 months ago

The companies racing Elon Musk to build AI are paying him more than 2 billion dollars a month to do it. Anthropic pays SpaceX 1.25 billion dollars a month. Google pays 920 million. They are not buying rockets. They are renting compute, the scarce Nvidia chips that train frontier models, from a data center in Memphis called Colossus that Musk's rocket company now owns. SpaceX folded xAI into itself in February, and with it the 220,000 chips built to train Grok. Then it rented them to Grok's rivals. Anthropic took the entire first building. Google leased 110,000 more. The contracts signed so far run past 80 billion dollars. SpaceX is no longer a rocket company that dabbles in AI. It is one of the largest AI compute landlords on Earth, and its biggest tenants are the rivals it is trying to beat. Musk is not choosing between building AI on the ground and building it in space. He is using one to fund the other. The 80 billion in ground contracts is the cash engine. Starmind, the million-satellite constellation built to leave the ground behind, is what the cash builds. So the rivals are financing his exit from the planet. Every dollar Anthropic and Google pay for compute in Memphis helps fund the orbital network designed to strand them on the surface. They are paying the toll on the road they are trying to win, and the toll is building Musk a road no one else can reach. The piece works out who is really renting from whom.
0:10

The companies racing Elon Musk to build AI are paying him more than 2 billion dollars a month to do it. Anthropic pays SpaceX 1.25 billion dollars a month. Google pays 920 million. They are not buying rockets. They are renting compute, the scarce Nvidia chips that train frontier models, from a data center in Memphis called Colossus that Musk's rocket company now owns. SpaceX folded xAI into itself in February, and with it the 220,000 chips built to train Grok. Then it rented them to Grok's rivals. Anthropic took the entire first building. Google leased 110,000 more. The contracts signed so far run past 80 billion dollars. SpaceX is no longer a rocket company that dabbles in AI. It is one of the largest AI compute landlords on Earth, and its biggest tenants are the rivals it is trying to beat. Musk is not choosing between building AI on the ground and building it in space. He is using one to fund the other. The 80 billion in ground contracts is the cash engine. Starmind, the million-satellite constellation built to leave the ground behind, is what the cash builds. So the rivals are financing his exit from the planet. Every dollar Anthropic and Google pay for compute in Memphis helps fund the orbital network designed to strand them on the surface. They are paying the toll on the road they are trying to win, and the toll is building Musk a road no one else can reach. The piece works out who is really renting from whom.

Shanaka Anslem Perera ⚡

97,964 views • 3 months ago

Once you dig into the “AI industry” it becomes clearer & clearer what it really is. It is an extraction project. It has already extracted the ENTIRE DIGITIZABLE OUTPUT OF HUMANITY. Our ideas. Our art. Our science. Our math. Through a clever algorithm discovered in 2017, Jensen Huang and Peter Thiel’s protege Sam Altman figured out how to accelerate existing “generative AI” technology with GPUs. This was NOT an innovation in accuracy or “intelligence,” it was a way to process an old algorithm in parallel. OpenAI was staffed in large part by “Effective Altruists”—a cult started based on the doomer science fiction of Eliezer Yudkowsky on the website LessWrong. Peter Thiel was the initial funding for OpenAI, EA, and Yudkowsky. OpenAI successfully convinced the market, and themselves in many cases, that they had birthed some new form of life. They just needed to make it BIGGER and it was destined to become “superintelligent.” Based on Yudkowsky’s goofy ideas, AI was gradually anthropomorphized and deified—despite the fact that it was just software regurgitating the exhaust of human beings. The entire “alignment” movement is based on the presumption that chatbots deserve “moral standing.” It’s exhaustingly ignorant. Eventually OpenAI employee Dario Amodei, a dedicated EA adherent, became concerned that OpenAI was not RELIGIOUS ENOUGH about AI being sentient, so he broke off to form Anthropic and named his chatbot after a person. This false premise, that an algorithm was somehow producing “intelligence” was further amplified by training the output to sound as human, and addictive, as possible. The combination of a kind of religious fervor inside, a deceptive product, and a flood of influence operations on the outside fueled a wild flow of speculative investment in both OpenAI and Anthropic—and especially into NVIDIA. This eventually poisoned the entire technology sector which came to believe that the “race for AGI” was existential, so they committed TRILLIONS to achieving it. The data centers are all a function of a misunderstanding of what they are building. Generative pre-trained transformers (GPT) are NEVER going to be intelligent, much less conscious. All they do is take our stolen stuff and sell it back to us. They do not experience. They do not do anything—unless you send a string of text for them to process. Nevertheless, the entire financial industry, and now the federal government is pushing this dead-end project to engulf the nation in data centers and swallow the economy with “AI factories.” It’s downright insanity. All of that capital expenditure is already junk. It can physically never make money. It’s built for GPUs which are the wrong substrate for AI. Large language models are useful search engines for stuff we’ve already done. They are the compressed, digitized exhaust of humans with a clever language interface. That’s it. There is no moat. There is no real innovation. There is just an accelerationist delusion and no adults in sight. Chatbots are a software feature, a commodity, that has metastasized into a cult digging a $10 TRILLION DITCH. The reason this has gone so far is that rather than compete in a democratic capitalist system for the best technology product, this cabal of lunatics created an “internet alternate reality” that could “unilaterally change the world.” The current AI industry is the largest extraction project in history. It is strip mining humanity and selling it back to us as slop. “If you’re evil, you’re not bad, and maybe that means you’re kind of good.” —Peter Thiel
1:25

Once you dig into the “AI industry” it becomes clearer & clearer what it really is. It is an extraction project. It has already extracted the ENTIRE DIGITIZABLE OUTPUT OF HUMANITY. Our ideas. Our art. Our science. Our math. Through a clever algorithm discovered in 2017, Jensen Huang and Peter Thiel’s protege Sam Altman figured out how to accelerate existing “generative AI” technology with GPUs. This was NOT an innovation in accuracy or “intelligence,” it was a way to process an old algorithm in parallel. OpenAI was staffed in large part by “Effective Altruists”—a cult started based on the doomer science fiction of Eliezer Yudkowsky on the website LessWrong. Peter Thiel was the initial funding for OpenAI, EA, and Yudkowsky. OpenAI successfully convinced the market, and themselves in many cases, that they had birthed some new form of life. They just needed to make it BIGGER and it was destined to become “superintelligent.” Based on Yudkowsky’s goofy ideas, AI was gradually anthropomorphized and deified—despite the fact that it was just software regurgitating the exhaust of human beings. The entire “alignment” movement is based on the presumption that chatbots deserve “moral standing.” It’s exhaustingly ignorant. Eventually OpenAI employee Dario Amodei, a dedicated EA adherent, became concerned that OpenAI was not RELIGIOUS ENOUGH about AI being sentient, so he broke off to form Anthropic and named his chatbot after a person. This false premise, that an algorithm was somehow producing “intelligence” was further amplified by training the output to sound as human, and addictive, as possible. The combination of a kind of religious fervor inside, a deceptive product, and a flood of influence operations on the outside fueled a wild flow of speculative investment in both OpenAI and Anthropic—and especially into NVIDIA. This eventually poisoned the entire technology sector which came to believe that the “race for AGI” was existential, so they committed TRILLIONS to achieving it. The data centers are all a function of a misunderstanding of what they are building. Generative pre-trained transformers (GPT) are NEVER going to be intelligent, much less conscious. All they do is take our stolen stuff and sell it back to us. They do not experience. They do not do anything—unless you send a string of text for them to process. Nevertheless, the entire financial industry, and now the federal government is pushing this dead-end project to engulf the nation in data centers and swallow the economy with “AI factories.” It’s downright insanity. All of that capital expenditure is already junk. It can physically never make money. It’s built for GPUs which are the wrong substrate for AI. Large language models are useful search engines for stuff we’ve already done. They are the compressed, digitized exhaust of humans with a clever language interface. That’s it. There is no moat. There is no real innovation. There is just an accelerationist delusion and no adults in sight. Chatbots are a software feature, a commodity, that has metastasized into a cult digging a $10 TRILLION DITCH. The reason this has gone so far is that rather than compete in a democratic capitalist system for the best technology product, this cabal of lunatics created an “internet alternate reality” that could “unilaterally change the world.” The current AI industry is the largest extraction project in history. It is strip mining humanity and selling it back to us as slop. “If you’re evil, you’re not bad, and maybe that means you’re kind of good.” —Peter Thiel

Jim Stewartson, Decelerationist 🇨🇦🇺🇦🇺🇸

69,861 views • 5 days ago

AI just hit a wall that no amount of money can move. The planet itself. There is not enough power, water, or land on Earth to build the data centers the AI race now demands. So the most valuable bet in artificial intelligence is no longer a chip company or a model. It is a rocket company. The plan is to leave. In January, SpaceX filed with the FCC to launch up to 1 million solar-powered data center satellites into orbit. In February it bought xAI, the maker of Grok, folding an entire frontier AI lab into a rocket company in the largest corporate merger ever recorded. On June 8 it unveiled the AI1, a compute satellite with a 70-meter wingspan, wider than a Boeing 747, powered by the sun, cooled by the vacuum of space, and wired to the ground through Starlink. Four days later it went public in the largest IPO in history, near 1.77 trillion dollars, touched 2.1 trillion on its first day, raised close to 86 billion, and made one man the first trillionaire alive. Now read the direction of that merger, because it is the whole story. A rocket company bought the AI lab. Not the reverse. For three years everyone assumed the constraint on AI was chips, or data, or talent. It is none of them anymore. It is energy and heat and dirt. The head of Anthropic said his company grew faster than the exponential, 80 times in a single year, and that is exactly why it ran out of compute. The answer was not to build more data centers in Virginia. It was to leave the atmosphere, where the sun never sets and a solar panel does five times the work. The moat in artificial intelligence is no longer the model. It is the launch. And the first rent is already being paid. A rival lab, Anthropic, is reported to be sending roughly 1.25 billion dollars a month to Musk for compute. Google near 920 million. If intelligence moves to orbit, the company that owns the only affordable road there becomes the landlord of the next layer of the internet, the way one bookstore became the landlord of the cloud. The merger is the proof of concept. The IPO is the war chest. Those monthly checks are the lease. Here is the part the price tag does not want you to read. Close to a trillion dollars of that valuation rests on orbital data centers that do not yet exist, and on a chip factory, Terafab, that SpaceX's own public filing calls a general framework with no binding deal, one that may not achieve commercial viability. Musk said it on camera. This is not a promise. The largest IPO ever written is priced on a future the filing itself cannot verify. The other side is just as real. Compute in orbit costs about four times what it costs on the ground today, and the curve may not cross for fifteen years. The machines that print the chips are backordered for years. Shedding heat in a vacuum at this scale has never been done. Musk's timelines have a long history of meaning later. And Bezos is racing the same orbit with a constellation of 51,600 satellites of his own. But strip it all away and the trade underneath is one sentence. Earth has run out of room for intelligence, and whoever owns the road off the planet owns whatever gets built next. Call it the most expensive science fiction ever sold, or the first time the map of the internet pointed up.
0:10

AI just hit a wall that no amount of money can move. The planet itself. There is not enough power, water, or land on Earth to build the data centers the AI race now demands. So the most valuable bet in artificial intelligence is no longer a chip company or a model. It is a rocket company. The plan is to leave. In January, SpaceX filed with the FCC to launch up to 1 million solar-powered data center satellites into orbit. In February it bought xAI, the maker of Grok, folding an entire frontier AI lab into a rocket company in the largest corporate merger ever recorded. On June 8 it unveiled the AI1, a compute satellite with a 70-meter wingspan, wider than a Boeing 747, powered by the sun, cooled by the vacuum of space, and wired to the ground through Starlink. Four days later it went public in the largest IPO in history, near 1.77 trillion dollars, touched 2.1 trillion on its first day, raised close to 86 billion, and made one man the first trillionaire alive. Now read the direction of that merger, because it is the whole story. A rocket company bought the AI lab. Not the reverse. For three years everyone assumed the constraint on AI was chips, or data, or talent. It is none of them anymore. It is energy and heat and dirt. The head of Anthropic said his company grew faster than the exponential, 80 times in a single year, and that is exactly why it ran out of compute. The answer was not to build more data centers in Virginia. It was to leave the atmosphere, where the sun never sets and a solar panel does five times the work. The moat in artificial intelligence is no longer the model. It is the launch. And the first rent is already being paid. A rival lab, Anthropic, is reported to be sending roughly 1.25 billion dollars a month to Musk for compute. Google near 920 million. If intelligence moves to orbit, the company that owns the only affordable road there becomes the landlord of the next layer of the internet, the way one bookstore became the landlord of the cloud. The merger is the proof of concept. The IPO is the war chest. Those monthly checks are the lease. Here is the part the price tag does not want you to read. Close to a trillion dollars of that valuation rests on orbital data centers that do not yet exist, and on a chip factory, Terafab, that SpaceX's own public filing calls a general framework with no binding deal, one that may not achieve commercial viability. Musk said it on camera. This is not a promise. The largest IPO ever written is priced on a future the filing itself cannot verify. The other side is just as real. Compute in orbit costs about four times what it costs on the ground today, and the curve may not cross for fifteen years. The machines that print the chips are backordered for years. Shedding heat in a vacuum at this scale has never been done. Musk's timelines have a long history of meaning later. And Bezos is racing the same orbit with a constellation of 51,600 satellites of his own. But strip it all away and the trade underneath is one sentence. Earth has run out of room for intelligence, and whoever owns the road off the planet owns whatever gets built next. Call it the most expensive science fiction ever sold, or the first time the map of the internet pointed up.

Shanaka Anslem Perera ⚡

54,545 views • 3 months ago

They told you it was just an acceptance speech. They told you to applaud and move on. But what if Jim Carrey didn't come to collect an award he came to deliver a verdict, and the silence that followed wasn't respect... it was shock. Here's what they don't tell you: Jim Carrey didn't just thank Hollywood, he indicted it. In a room full of stars, producers, and power brokers, he spoke a truth so dangerous the air left the building: Kidnapping children is not what great nations do. He didn't say it quietly. He declared it. And in that moment, the mask of entertainment slipped, and the monster beneath was named. That silence wasn't awe. It was tension. It was the sound of a system recognizing one of its own had broken the code. Celebrities aren't supposed to mention the unmentionable the trafficking, the corruption, the war crimes dressed as patriotism. Carrey didn't just cross a line. He erased it.
0:15

They told you it was just an acceptance speech. They told you to applaud and move on. But what if Jim Carrey didn't come to collect an award he came to deliver a verdict, and the silence that followed wasn't respect... it was shock. Here's what they don't tell you: Jim Carrey didn't just thank Hollywood, he indicted it. In a room full of stars, producers, and power brokers, he spoke a truth so dangerous the air left the building: Kidnapping children is not what great nations do. He didn't say it quietly. He declared it. And in that moment, the mask of entertainment slipped, and the monster beneath was named. That silence wasn't awe. It was tension. It was the sound of a system recognizing one of its own had broken the code. Celebrities aren't supposed to mention the unmentionable the trafficking, the corruption, the war crimes dressed as patriotism. Carrey didn't just cross a line. He erased it.

IRISH PATRIOT

659,716 views • 8 months ago

🦔I wanted to share a compilation that I saw of residents recording what data centers sound like from their neighborhoods. The hum runs 24 hours a day, 7 days a week. I've covered the community side of the buildout before with the Gilroy and Pecos County projects, but hearing it is different than reading about it. My Take The people in these videos didn't sign up for a 24-hour industrial hum so that AI companies can train their next model. They weren't asked, and in a lot of cases they weren't even told until construction started. The buildout gets measured in gigawatts and billions of dollars on earnings calls. On the ground it gets measured in sleep you don't get and a home you can't sell. I've posted a lot of numbers this year about the AI boom. This is what those numbers sound like. Hedgie🤗
0:17

🦔I wanted to share a compilation that I saw of residents recording what data centers sound like from their neighborhoods. The hum runs 24 hours a day, 7 days a week. I've covered the community side of the buildout before with the Gilroy and Pecos County projects, but hearing it is different than reading about it. My Take The people in these videos didn't sign up for a 24-hour industrial hum so that AI companies can train their next model. They weren't asked, and in a lot of cases they weren't even told until construction started. The buildout gets measured in gigawatts and billions of dollars on earnings calls. On the ground it gets measured in sleep you don't get and a home you can't sell. I've posted a lot of numbers this year about the AI boom. This is what those numbers sound like. Hedgie🤗

Hedgie

22,945 views • 1 month ago

Coding software is a joke compared to building hardware. Because when a software fails, it can be fixed quickly. In hardware, one mistake can set you back for months or end you. In hardware, every decision is cash flow. Every tiny error can cost tens of 1000s of dollars. You don’t get second chances. You get lessons, paid for in time and money. But when you finally get it right… You don’t just ship a product. You build a legacy. Something people touch, use, and trust for years. That’s the beauty and the pain of building in the real world.
0:11

Coding software is a joke compared to building hardware. Because when a software fails, it can be fixed quickly. In hardware, one mistake can set you back for months or end you. In hardware, every decision is cash flow. Every tiny error can cost tens of 1000s of dollars. You don’t get second chances. You get lessons, paid for in time and money. But when you finally get it right… You don’t just ship a product. You build a legacy. Something people touch, use, and trust for years. That’s the beauty and the pain of building in the real world.

Prakash Dadlani

12,402 views • 11 months ago

save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.
0:19

save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.

may.crypto {🦅}

26,174 views • 29 days ago

🚨 RUSHING IN NOW IS HOW YOU MISS THE REAL BOTTOM Cycle lows don't print in a single day they build over weeks while the crowd gets shaken out one by one The people who made generational money in 2018 and 2022 didn't buy the first dip They waited for the moment nobody wanted to buy anymore That moment hasn't come yet You'll have plenty of time to enter at the real lows Turn on notifications - I'll call it before it prints
0:19

🚨 RUSHING IN NOW IS HOW YOU MISS THE REAL BOTTOM Cycle lows don't print in a single day they build over weeks while the crowd gets shaken out one by one The people who made generational money in 2018 and 2022 didn't buy the first dip They waited for the moment nobody wanted to buy anymore That moment hasn't come yet You'll have plenty of time to enter at the real lows Turn on notifications - I'll call it before it prints

Finish 🏁

51,686 views • 3 months ago

They showed up to close. Floors were a mirror. Walls were crying. A plumbing mishaps is to blame. They did not close on telhe house that day. That is the win. If your agent says “just close and we’ll deal with it,” that is not advice. That is how you buy a swimming pool with a mortgage. Final walkthrough is not a vibe check. It is the last moment you can walk away with your earnest money. Morning of. Every room. If they rush you, that is the tell. Water on the floor plus an outlet on that wall is not a punch-list item. Drop your closing-day disaster.
0:15

They showed up to close. Floors were a mirror. Walls were crying. A plumbing mishaps is to blame. They did not close on telhe house that day. That is the win. If your agent says “just close and we’ll deal with it,” that is not advice. That is how you buy a swimming pool with a mortgage. Final walkthrough is not a vibe check. It is the last moment you can walk away with your earnest money. Morning of. Every room. If they rush you, that is the tell. Water on the floor plus an outlet on that wall is not a punch-list item. Drop your closing-day disaster.

DocumentingLibs

18,835 views • 2 days ago

WHY ARE WE STILL PAYING ALMOST FOUR DOLLARS A GALLON WHEN OIL IS NEARLY $70 A BARREL?! Oil is trading in the seventies right now. Go back and check the history books. The last time crude sat in that range for any real stretch, gas was closer to two dollars and sixty cents a gallon. Today the national average is sitting near four dollars. Something does not add up, and Americans know it. There is an old saying in this business. Prices rise like a rocket and fall like a feather. Economists even have a name for it. The rocket and feather effect. When oil spikes, the pump reacts overnight. When oil drops, that same speed mysteriously disappears. The industry has a story ready every time. They say they are still selling expensive oil bought weeks ago, so prices cannot fall yet. Fine. But watch what happens the moment tensions with Iran flare up. Oil ticks up four or five dollars a barrel and somehow pump prices jump forty or fifty cents overnight, on oil the stations already had sitting in the ground bought at the old cheaper price. You cannot have it both ways. Slow to fall because of old inventory, instant to rise regardless of it. That is not a supply chain. That is a shakedown. Trump has pushed harder than any president in a generation to open up drilling, cut red tape and increase the actual supply of American energy. That is supposed to be the whole point. More supply, lower prices, real relief for working families filling up their trucks. Families are doing the math at the pump every single week. They are not confused. They can see a rocket going up and a feather coming down, and they are done pretending it is a coincidence.
0:19

WHY ARE WE STILL PAYING ALMOST FOUR DOLLARS A GALLON WHEN OIL IS NEARLY $70 A BARREL?! Oil is trading in the seventies right now. Go back and check the history books. The last time crude sat in that range for any real stretch, gas was closer to two dollars and sixty cents a gallon. Today the national average is sitting near four dollars. Something does not add up, and Americans know it. There is an old saying in this business. Prices rise like a rocket and fall like a feather. Economists even have a name for it. The rocket and feather effect. When oil spikes, the pump reacts overnight. When oil drops, that same speed mysteriously disappears. The industry has a story ready every time. They say they are still selling expensive oil bought weeks ago, so prices cannot fall yet. Fine. But watch what happens the moment tensions with Iran flare up. Oil ticks up four or five dollars a barrel and somehow pump prices jump forty or fifty cents overnight, on oil the stations already had sitting in the ground bought at the old cheaper price. You cannot have it both ways. Slow to fall because of old inventory, instant to rise regardless of it. That is not a supply chain. That is a shakedown. Trump has pushed harder than any president in a generation to open up drilling, cut red tape and increase the actual supply of American energy. That is supposed to be the whole point. More supply, lower prices, real relief for working families filling up their trucks. Families are doing the math at the pump every single week. They are not confused. They can see a rocket going up and a feather coming down, and they are done pretending it is a coincidence.

Bill Mitchell

14,474 views • 3 months ago

I’m incredibly proud to share that OpenAI chose Brex to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.
0:10

I’m incredibly proud to share that OpenAI chose Brex to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.

Pedro Franceschi

62,597 views • 6 months ago

The government can find out everywhere you have been, without ever asking a judge. It just buys the information. Most apps on your phone quietly collect your location and sell it to data brokers. Those brokers package it up and sell it on. Some of their biggest customers are police departments and federal agencies. Because you technically agreed to share your location with a weather app or a game, officials argue they do not need a warrant to buy that same data later. Privacy lawyers call it a workaround the courts were never meant to allow. This is not a theory. In 2026, researchers at Citizen Lab exposed a system called Webloc that turned advertising data from around 500 million phones into a tracking tool, used by immigration agents, US police, and a foreign intelligence service. The most unsettling part is how ordinary it is. You are being tracked through the same apps you open without thinking, every single day.
0:15

The government can find out everywhere you have been, without ever asking a judge. It just buys the information. Most apps on your phone quietly collect your location and sell it to data brokers. Those brokers package it up and sell it on. Some of their biggest customers are police departments and federal agencies. Because you technically agreed to share your location with a weather app or a game, officials argue they do not need a warrant to buy that same data later. Privacy lawyers call it a workaround the courts were never meant to allow. This is not a theory. In 2026, researchers at Citizen Lab exposed a system called Webloc that turned advertising data from around 500 million phones into a tracking tool, used by immigration agents, US police, and a foreign intelligence service. The most unsettling part is how ordinary it is. You are being tracked through the same apps you open without thinking, every single day.

Anonymous

60,965 views • 2 months ago