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The next iPhone will cost more, and the reason has almost nothing to do with Apple. The chip that stores your photos cost Apple about 13 dollars last year. This year it runs around 51. Multiply that across every phone, laptop, and console on earth, and you are looking...

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Shanaka Anslem Perera ⚡

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58,900 görüntüleme • 3 ay önce •via X (Twitter)

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A GIRL WALKED OFF THE TOP OF A WATERSLIDE, THREW TWO FLIPS DOWN THE FACE OF IT, AND LANDED IN THE POOL 20,000 likes None of it is generated. That is exactly why it is worth eleven seconds, because your feed has spent a year training you to assume the opposite run it as a test. here is what is in the frame that no model reliably puts there yet: → the water. spray leaves her body at the right angle and volume for her speed, and the sheet on the slide deforms under her weight instead of flowing past her → the rotation conserves. she tucks and the spin accelerates, she opens and it slows. angular momentum is a constraint, and generators approximate it rather than obey it → the crowd reacts late. people on the platform turn after she has already gone, because they are reacting, not choreographed → the camera operator loses her. the frame lags the subject and catches up. that is a mistake, and mistakes are the expensive thing to fake → and the landing is ugly. real impacts are. generated ones almost always resolve too cleanly none of that is a checklist you can memorise, and pretending otherwise is how people get caught. every one of those tells has a shelf life. three of them were already unreliable a year ago what does not expire is where you look. continuity, physics, and mistakes - the three places a model has to simulate a system instead of reproducing a surface. surfaces are solved. systems are not, yet and the reason this gets more useful every month is not fakes. it is that real footage is starting to get accused. the cost of being wrong now runs in both directions the fastest way to calibrate your own eye is to make one yourself. image-to-video from a still, one line about the motion - Picsart runs it from a phone. you start spotting the tells about ten minutes after you have made your own this one is real. the fact that you had to check is the actual story
0:11

A GIRL WALKED OFF THE TOP OF A WATERSLIDE, THREW TWO FLIPS DOWN THE FACE OF IT, AND LANDED IN THE POOL 20,000 likes None of it is generated. That is exactly why it is worth eleven seconds, because your feed has spent a year training you to assume the opposite run it as a test. here is what is in the frame that no model reliably puts there yet: → the water. spray leaves her body at the right angle and volume for her speed, and the sheet on the slide deforms under her weight instead of flowing past her → the rotation conserves. she tucks and the spin accelerates, she opens and it slows. angular momentum is a constraint, and generators approximate it rather than obey it → the crowd reacts late. people on the platform turn after she has already gone, because they are reacting, not choreographed → the camera operator loses her. the frame lags the subject and catches up. that is a mistake, and mistakes are the expensive thing to fake → and the landing is ugly. real impacts are. generated ones almost always resolve too cleanly none of that is a checklist you can memorise, and pretending otherwise is how people get caught. every one of those tells has a shelf life. three of them were already unreliable a year ago what does not expire is where you look. continuity, physics, and mistakes - the three places a model has to simulate a system instead of reproducing a surface. surfaces are solved. systems are not, yet and the reason this gets more useful every month is not fakes. it is that real footage is starting to get accused. the cost of being wrong now runs in both directions the fastest way to calibrate your own eye is to make one yourself. image-to-video from a still, one line about the motion - Picsart runs it from a phone. you start spotting the tells about ten minutes after you have made your own this one is real. the fact that you had to check is the actual story

Valentin

600,828 görüntüleme • 8 gün önce

🤯 THE STOCK MARKET JUST BECAME THE EXIT LIQUIDITY AND ALMOST NOBODY SEES IT. Three of the largest IPOs in history are landing in one five month window. SpaceX. OpenAI. Anthropic. More than $135 billion in new stock about to be sold. Every dollar that buys it has to come from somewhere. It comes from what funds already hold. And the thing every fund is overweight is the S&P 500. That is what gets sold first. Record highs. Record euphoria. Record new supply. All at the same time. That is not strength. That is the setup.
0:18

🤯 THE STOCK MARKET JUST BECAME THE EXIT LIQUIDITY AND ALMOST NOBODY SEES IT. Three of the largest IPOs in history are landing in one five month window. SpaceX. OpenAI. Anthropic. More than $135 billion in new stock about to be sold. Every dollar that buys it has to come from somewhere. It comes from what funds already hold. And the thing every fund is overweight is the S&P 500. That is what gets sold first. Record highs. Record euphoria. Record new supply. All at the same time. That is not strength. That is the setup.

Mister Crypto

14,931 görüntüleme • 3 ay önce

Americans handed over about 253 billion dollars in credit card interest and fees in a single year, and for millions the debt never actually shrinks. Total household debt in the United States just hit a record of about 18.8 trillion dollars. Credit cards are only a slice of that, but they are the cruelest slice, because the interest rate almost never drops below 20 percent. Here is what that does. If you carry a balance of 5,000 dollars and pay only the minimum, it can take more than 15 years to clear, and cost you more than 6,000 dollars in interest alone. You end up paying for the same purchase twice. The amount Americans pay each year just in card interest is now more than triple what it was in 2021. This is not an accident of the market. High rates and low minimum payments are built to keep you paying, slowly, for as long as possible.
0:18

Americans handed over about 253 billion dollars in credit card interest and fees in a single year, and for millions the debt never actually shrinks. Total household debt in the United States just hit a record of about 18.8 trillion dollars. Credit cards are only a slice of that, but they are the cruelest slice, because the interest rate almost never drops below 20 percent. Here is what that does. If you carry a balance of 5,000 dollars and pay only the minimum, it can take more than 15 years to clear, and cost you more than 6,000 dollars in interest alone. You end up paying for the same purchase twice. The amount Americans pay each year just in card interest is now more than triple what it was in 2021. This is not an accident of the market. High rates and low minimum payments are built to keep you paying, slowly, for as long as possible.

Anonymous

57,255 görüntüleme • 2 ay önce

🇲🇾🇨🇳 Hormuz gets all the attention, but the Strait of Malacca is the one that keeps Beijing up at night. It's the world's busiest maritime chokepoint, narrowing to just 1.7 miles at its tightest point. In the first half of 2025 alone, 23.2 million barrels of oil per day passed through it. That's more than Hormuz. Around 75% of China's seaborne crude imports flow through it from the Middle East and Africa. The Iran war has forced governments across Asia to think seriously about what happens if Malacca faces the same fate as Hormuz. Indonesia's finance minister floated the idea of tolls this week before walking it back. Singapore has already assured both the U.S. and China that passage is guaranteed and it won't participate in any effort to block it. The difference between Hormuz and Malacca is that 4 countries share the strait and all of them have a strategic interest in keeping it open. That makes it harder to close, but also harder to control. China is watching what the U.S. did to Iran's economy through a single chokepoint. It has one of its own that it can't protect alone. Source: Reuters
0:15

🇲🇾🇨🇳 Hormuz gets all the attention, but the Strait of Malacca is the one that keeps Beijing up at night. It's the world's busiest maritime chokepoint, narrowing to just 1.7 miles at its tightest point. In the first half of 2025 alone, 23.2 million barrels of oil per day passed through it. That's more than Hormuz. Around 75% of China's seaborne crude imports flow through it from the Middle East and Africa. The Iran war has forced governments across Asia to think seriously about what happens if Malacca faces the same fate as Hormuz. Indonesia's finance minister floated the idea of tolls this week before walking it back. Singapore has already assured both the U.S. and China that passage is guaranteed and it won't participate in any effort to block it. The difference between Hormuz and Malacca is that 4 countries share the strait and all of them have a strategic interest in keeping it open. That makes it harder to close, but also harder to control. China is watching what the U.S. did to Iran's economy through a single chokepoint. It has one of its own that it can't protect alone. Source: Reuters

Mario Nawfal

278,556 görüntüleme • 5 ay önce

Elon Musk gave the entire entertainment industry its expiration date, and he is the one building the thing that kills it. Musk: “My guess is that we see the first compelling half hour, pure AI show next year.” Next year. A complete show generated entirely by AI. No writers. No actors. No cameras. No sets. No crew. No studio. Just a prompt and enough compute to render a reality that never physically existed. And shows are the easy part. Musk: “I say probably we’re maybe three years away from AI does the whole video game.” A show plays the same way every time. A game has to generate a living world that reacts to every decision in real time across every single frame. That is a fundamentally harder class of problem. And Musk put three years on it. Right now a single AAA title takes seven years and half a billion dollars across thousands of engineers and artists just to ship it. Musk is describing a world where one person types a paragraph and gets something comparable. The entire value proposition of a multi-billion dollar industry lives inside that gap. And it closes in thirty-six months. But the prediction is not the story. The person making it is. This is not an analyst speculating from the sidelines. This is the man building the largest AI compute clusters on the planet. The man who built xAI from zero in under two years. The man stacking hundreds of thousands of GPUs into facilities designed to do exactly what he is describing. When Musk says three years, he is not guessing about what someone else might eventually ship. He is reading you a delivery date off his own roadmap. Every media company on Earth is valued on a single assumption. That quality content is expensive and difficult to produce at scale. That one assumption is the structural foundation underneath every studio, every network, and every publisher in existence. Musk is dismantling it with raw compute. The studios still parading thousand-person production teams are not demonstrating strength. They are advertising the exact cost structure that one person with a prompt and a GPU allocation is about to make irrelevant. And it does not stop at entertainment. If AI can generate an interactive world that responds to human input in real time, it can generate anything. Advertising. Architecture. Training simulations. Product design. Every industry built on humans manually constructing visual experiences frame by frame is sitting on the same countdown Musk just read out loud. Now zoom out. Because this is not just an industry story. For the entire history of human civilization, the distance between imagining a world and actually creating one required thousands of people, millions of hours, and billions of dollars. That distance built Hollywood. That distance built the gaming industry. That distance made content scarce and studios powerful. Musk is collapsing that distance to zero. When the gap between imagining something and it existing disappears, every business model built on the difficulty of creation disappears with it. That is not disruption. That is a full inversion of how human beings create. Musk did not make a casual prediction on that podcast. He told you what he is building. He told you the timeline. And he told you which industries do not survive it. The entertainment industry is still debating whether this future is real. Musk is not part of that debate. He is building. And he just told you the delivery date.
0:17

Elon Musk gave the entire entertainment industry its expiration date, and he is the one building the thing that kills it. Musk: “My guess is that we see the first compelling half hour, pure AI show next year.” Next year. A complete show generated entirely by AI. No writers. No actors. No cameras. No sets. No crew. No studio. Just a prompt and enough compute to render a reality that never physically existed. And shows are the easy part. Musk: “I say probably we’re maybe three years away from AI does the whole video game.” A show plays the same way every time. A game has to generate a living world that reacts to every decision in real time across every single frame. That is a fundamentally harder class of problem. And Musk put three years on it. Right now a single AAA title takes seven years and half a billion dollars across thousands of engineers and artists just to ship it. Musk is describing a world where one person types a paragraph and gets something comparable. The entire value proposition of a multi-billion dollar industry lives inside that gap. And it closes in thirty-six months. But the prediction is not the story. The person making it is. This is not an analyst speculating from the sidelines. This is the man building the largest AI compute clusters on the planet. The man who built xAI from zero in under two years. The man stacking hundreds of thousands of GPUs into facilities designed to do exactly what he is describing. When Musk says three years, he is not guessing about what someone else might eventually ship. He is reading you a delivery date off his own roadmap. Every media company on Earth is valued on a single assumption. That quality content is expensive and difficult to produce at scale. That one assumption is the structural foundation underneath every studio, every network, and every publisher in existence. Musk is dismantling it with raw compute. The studios still parading thousand-person production teams are not demonstrating strength. They are advertising the exact cost structure that one person with a prompt and a GPU allocation is about to make irrelevant. And it does not stop at entertainment. If AI can generate an interactive world that responds to human input in real time, it can generate anything. Advertising. Architecture. Training simulations. Product design. Every industry built on humans manually constructing visual experiences frame by frame is sitting on the same countdown Musk just read out loud. Now zoom out. Because this is not just an industry story. For the entire history of human civilization, the distance between imagining a world and actually creating one required thousands of people, millions of hours, and billions of dollars. That distance built Hollywood. That distance built the gaming industry. That distance made content scarce and studios powerful. Musk is collapsing that distance to zero. When the gap between imagining something and it existing disappears, every business model built on the difficulty of creation disappears with it. That is not disruption. That is a full inversion of how human beings create. Musk did not make a casual prediction on that podcast. He told you what he is building. He told you the timeline. And he told you which industries do not survive it. The entertainment industry is still debating whether this future is real. Musk is not part of that debate. He is building. And he just told you the delivery date.

Dustin

22,458 görüntüleme • 2 ay önce

A wrist force sensor fires at 100Hz. The policy only ever sees it at 30Hz, downsampled to land on the same control step as the camera and the joint state. That's not a bug, it's the whole point, and it sits inside a bigger pattern in VLA research this year. Every major release has been Markovian at its core, mapping the current frame straight to the next action. The fix everyone reaches for is more vision: more history frames, longer image context. FM-VLA makes a clean case that the fix is the wrong channel for a whole class of tasks. Press a button three times and stop. A camera watching that has almost nothing to work with, the scene barely changes between press one and press three. Force doesn't have that ambiguity problem. Each press is a sharp, distinct spike in the wrench signal, whether or not the camera noticed anything at all. So FM-VLA doesn't add more frames. It compresses the wrench history into eight tokens with a VAE, pretrained purely on reconstructing force signals, frozen before it ever touches the policy, then hands those tokens to the action expert alongside a short window of joint state. That's the entire memory system. Averaged across three contact-rich tasks, FM-VLA hits 83.3 percent success against 33.3 percent for the strongest vision-memory baseline on the button-counting task specifically, where the ambiguity problem is worst, 72.2 percent for FM-VLA there. Strip out the short-state window and force-only performance drops well below the combined system, so force alone isn't the answer either. The two channels are doing different jobs. The field has defaulted to one memory channel for every kind of temporal problem. This is a clean data point that the channel should match the ambiguity you're actually trying to resolve, not just get bigger. Source: Paper: Credit to the teams at Tsinghua University, Microsoft Research, and Fudan University. #Robotics #PhysicalAI #RobotLearning
0:19

A wrist force sensor fires at 100Hz. The policy only ever sees it at 30Hz, downsampled to land on the same control step as the camera and the joint state. That's not a bug, it's the whole point, and it sits inside a bigger pattern in VLA research this year. Every major release has been Markovian at its core, mapping the current frame straight to the next action. The fix everyone reaches for is more vision: more history frames, longer image context. FM-VLA makes a clean case that the fix is the wrong channel for a whole class of tasks. Press a button three times and stop. A camera watching that has almost nothing to work with, the scene barely changes between press one and press three. Force doesn't have that ambiguity problem. Each press is a sharp, distinct spike in the wrench signal, whether or not the camera noticed anything at all. So FM-VLA doesn't add more frames. It compresses the wrench history into eight tokens with a VAE, pretrained purely on reconstructing force signals, frozen before it ever touches the policy, then hands those tokens to the action expert alongside a short window of joint state. That's the entire memory system. Averaged across three contact-rich tasks, FM-VLA hits 83.3 percent success against 33.3 percent for the strongest vision-memory baseline on the button-counting task specifically, where the ambiguity problem is worst, 72.2 percent for FM-VLA there. Strip out the short-state window and force-only performance drops well below the combined system, so force alone isn't the answer either. The two channels are doing different jobs. The field has defaulted to one memory channel for every kind of temporal problem. This is a clean data point that the channel should match the ambiguity you're actually trying to resolve, not just get bigger. Source: Paper: Credit to the teams at Tsinghua University, Microsoft Research, and Fudan University. #Robotics #PhysicalAI #RobotLearning

Stephen James

11,658 görüntüleme • 1 ay önce

🚨 Apple spends over $2,000,000 to shoot one iPhone commercial a 24-year-old Chinese student recreated that exact ad on a laptop for $50 and the clip is pulling millions of views. the subway. the floating phone. the hand reaching for the screen. she made all of it with AI. right now this is the trend flooding your feed: one person shooting ads that look like Apple made them. > Research scores the outliers: views ÷ channel median, over 30 and you copy that format this week > Claude reskins the winning shape onto a new product and writes the shot list: 20 minutes > CapCut generates every frame, the lighting, the motion, exports 9:16: 1 hour > Make posts to 3 platforms and reads the view counts back in 48 hours 4 tools. $50/month. Apple hires an agency for one spot. this student ships a new one every week. first people to run the format eat the whole trend. the whole factory is in the article above👇
0:12

🚨 Apple spends over $2,000,000 to shoot one iPhone commercial a 24-year-old Chinese student recreated that exact ad on a laptop for $50 and the clip is pulling millions of views. the subway. the floating phone. the hand reaching for the screen. she made all of it with AI. right now this is the trend flooding your feed: one person shooting ads that look like Apple made them. > Research scores the outliers: views ÷ channel median, over 30 and you copy that format this week > Claude reskins the winning shape onto a new product and writes the shot list: 20 minutes > CapCut generates every frame, the lighting, the motion, exports 9:16: 1 hour > Make posts to 3 platforms and reads the view counts back in 48 hours 4 tools. $50/month. Apple hires an agency for one spot. this student ships a new one every week. first people to run the format eat the whole trend. the whole factory is in the article above👇

Fokki

73,704 görüntüleme • 2 ay önce

🚨 do you understand what happened to Apple.. Apple just announced Siri AI at WWDC 2026. The new "revolutionary" assistant is literally Google Gemini running in a costume. - Apple pays Google 1 billion dollars a year for a custom 1.2 trillion parameter Gemini model - the only Apple part of Siri AI is the logo and the privacy marketing - Siri AI launches in fall 2026 and only works on iPhone 15 Pro and newer - Tim Cook leaves as CEO on September 1, three weeks before it ships the company that used to be the most valuable on earth couldn't build its own AI and had to rent one from the search engine.
0:17

🚨 do you understand what happened to Apple.. Apple just announced Siri AI at WWDC 2026. The new "revolutionary" assistant is literally Google Gemini running in a costume. - Apple pays Google 1 billion dollars a year for a custom 1.2 trillion parameter Gemini model - the only Apple part of Siri AI is the logo and the privacy marketing - Siri AI launches in fall 2026 and only works on iPhone 15 Pro and newer - Tim Cook leaves as CEO on September 1, three weeks before it ships the company that used to be the most valuable on earth couldn't build its own AI and had to rent one from the search engine.

BuBBliK

144,663 görüntüleme • 3 ay önce

🇳🇵| #Nepal | The devastation in #Rasuwa is not an act of nature. It is the visible wound of a nation that has been carved up and sold by its own political class to foreign corporations and global financial institutions. Nepal's sovereignty has been under quiet, systematic attack for decades, and the landslide is the result. The government of Nepal did not merely fail to protect its people. It actively enabled their destruction through policies that prioritised foreign investment, "development" loans, and infrastructure projects over the lives of those in the mountains. The same pattern we have exposed across India, Pakistan, and Afghanistan is operating here. The globalist machine needs Nepal's rivers, its hydropower, its strategic location between China and India, and its people as a cheap, disposable labour force. What has happened in Rasuwa is part of this same plan. The hydropower rush in the Himalayan rivers has destabilised the slopes. Roads are carved through unstable geology without proper engineering, funded by development banks that demand Nepal remain a debtor nation. Forests are stripped. The people are told to accept "progress." Then the rains come, engineered or not, and the mountain comes down. The state calls it a natural disaster. The media says "pray for Nepal." And the same companies that pushed the projects arrive later for the "reconstruction." Nepal's tragedy is that its people have been taught to see themselves as victims of geography. They are victims of governance. The same globalist networks that are flooding Assam, burning Europe, shaking Turkey and Japan, and bulldozing Palestine are now tightening their grip on the Himalayas. Nepal is a key piece on that board. Its government has signed the agreements. The land has been mapped, zoned, and mortgaged. The people are in the way. I will not pretend that a single, tidy "plan" explains every layer of corruption in Nepal. But I will say this clearly: the flood and landslide did not have to be fatal. The deaths are the result of decades of deliberate neglect, of state capture by local and foreign oligarchs, and of an economic model that treats the mountains and their people as resources to be extracted rather than lives to be protected. The people of Nepal deserve more than prayers. They deserve the truth. That truth is that their government has failed them, and the same invisible system that is devastating the rest of the world is now using their rivers, their mountains, and their grief as fuel. The prayer posts will fade. The system will remain. Unless the people of Nepal, and of every targeted nation, choose to stop accepting the lie that the land is their enemy. The land is not the enemy. The land has been betrayed. The monsoon is the trigger. The real weapon was wielded long before the rain came.
1:20

🇳🇵| #Nepal | The devastation in #Rasuwa is not an act of nature. It is the visible wound of a nation that has been carved up and sold by its own political class to foreign corporations and global financial institutions. Nepal's sovereignty has been under quiet, systematic attack for decades, and the landslide is the result. The government of Nepal did not merely fail to protect its people. It actively enabled their destruction through policies that prioritised foreign investment, "development" loans, and infrastructure projects over the lives of those in the mountains. The same pattern we have exposed across India, Pakistan, and Afghanistan is operating here. The globalist machine needs Nepal's rivers, its hydropower, its strategic location between China and India, and its people as a cheap, disposable labour force. What has happened in Rasuwa is part of this same plan. The hydropower rush in the Himalayan rivers has destabilised the slopes. Roads are carved through unstable geology without proper engineering, funded by development banks that demand Nepal remain a debtor nation. Forests are stripped. The people are told to accept "progress." Then the rains come, engineered or not, and the mountain comes down. The state calls it a natural disaster. The media says "pray for Nepal." And the same companies that pushed the projects arrive later for the "reconstruction." Nepal's tragedy is that its people have been taught to see themselves as victims of geography. They are victims of governance. The same globalist networks that are flooding Assam, burning Europe, shaking Turkey and Japan, and bulldozing Palestine are now tightening their grip on the Himalayas. Nepal is a key piece on that board. Its government has signed the agreements. The land has been mapped, zoned, and mortgaged. The people are in the way. I will not pretend that a single, tidy "plan" explains every layer of corruption in Nepal. But I will say this clearly: the flood and landslide did not have to be fatal. The deaths are the result of decades of deliberate neglect, of state capture by local and foreign oligarchs, and of an economic model that treats the mountains and their people as resources to be extracted rather than lives to be protected. The people of Nepal deserve more than prayers. They deserve the truth. That truth is that their government has failed them, and the same invisible system that is devastating the rest of the world is now using their rivers, their mountains, and their grief as fuel. The prayer posts will fade. The system will remain. Unless the people of Nepal, and of every targeted nation, choose to stop accepting the lie that the land is their enemy. The land is not the enemy. The land has been betrayed. The monsoon is the trigger. The real weapon was wielded long before the rain came.

Aprajita Nafs Nefes 🦋 Ancient Believer

29,250 görüntüleme • 1 ay önce

🇺🇸 DALLAS IS ABOUT TO BECOME THE CAPITAL OF THE AMERICA FIRST MOVEMENT! For the first time in party history, Republicans are holding a midterm convention. Not a debate stage. Not a press conference. A full blown convention, September 9th and 10th, right in the heart of Dallas. The Democrats aren't ready for this! Trump called it exactly what it is. "It has never been done before, and will be a truly Historic Event." Think about that for a second. Presidential conventions happen every four years like clockwork. Midterm conventions do not happen at all, because most parties do not have anything worth celebrating in the off year. The GOP just decided they do. RNC Chairman Joe Gruters is already calling it Trumpapalooza. That is not a typo. That is the energy level we are talking about. This is not just a rally. It is a two day showcase of the Great American Comeback. No tax on tips. No tax on overtime. Falling oil prices while the administration denuclearizes Iran. A border that finally has a lock on the door. Trump is not asking Republicans to imagine the wins. He is putting them on a stage in Texas and pointing at them. And Texas is not a random choice. It is the epicenter of this year's fight for Congress, with Ken Paxton battling for Senate and multiple House seats hanging in the balance. Dallas Mayor Eric Johnson called it exactly right, an event that will "energize our party, strengthen the conservative movement, and help build momentum." Now look across the aisle. Democrats floated the idea of their own midterm gathering. Then they quietly shelved it. No unifying message. No standout headliner. No comeback story to tell voters, because they do not have one. That is the difference in one sentence. Republicans are throwing a party because they have something to celebrate. Democrats are staying home because they do not. Midterms usually punish the party in power. Trump just decided to rewrite that rule in Texas, in front of the cameras, with the whole country watching. Buckle up. Trumpapalooza is coming, and the other side has nothing on the calendar to answer it with.
0:19

🇺🇸 DALLAS IS ABOUT TO BECOME THE CAPITAL OF THE AMERICA FIRST MOVEMENT! For the first time in party history, Republicans are holding a midterm convention. Not a debate stage. Not a press conference. A full blown convention, September 9th and 10th, right in the heart of Dallas. The Democrats aren't ready for this! Trump called it exactly what it is. "It has never been done before, and will be a truly Historic Event." Think about that for a second. Presidential conventions happen every four years like clockwork. Midterm conventions do not happen at all, because most parties do not have anything worth celebrating in the off year. The GOP just decided they do. RNC Chairman Joe Gruters is already calling it Trumpapalooza. That is not a typo. That is the energy level we are talking about. This is not just a rally. It is a two day showcase of the Great American Comeback. No tax on tips. No tax on overtime. Falling oil prices while the administration denuclearizes Iran. A border that finally has a lock on the door. Trump is not asking Republicans to imagine the wins. He is putting them on a stage in Texas and pointing at them. And Texas is not a random choice. It is the epicenter of this year's fight for Congress, with Ken Paxton battling for Senate and multiple House seats hanging in the balance. Dallas Mayor Eric Johnson called it exactly right, an event that will "energize our party, strengthen the conservative movement, and help build momentum." Now look across the aisle. Democrats floated the idea of their own midterm gathering. Then they quietly shelved it. No unifying message. No standout headliner. No comeback story to tell voters, because they do not have one. That is the difference in one sentence. Republicans are throwing a party because they have something to celebrate. Democrats are staying home because they do not. Midterms usually punish the party in power. Trump just decided to rewrite that rule in Texas, in front of the cameras, with the whole country watching. Buckle up. Trumpapalooza is coming, and the other side has nothing on the calendar to answer it with.

Bill Mitchell

13,955 görüntüleme • 2 ay önce

She's 21. She makes $22,000 a month doing nothing, but filming her own life - the gym, the surf, the climbing, the run and letting AI do the rest. She's not a model. She doesn't sell a course. She just lives a full life on camera and every single hobby is a brand category that's desperate for content. The surf clip is a wakeboard brand's ad. The climbing gym wants the bouldering footage. The track session is an activewear drop. The smoothie after is a supplement post. She'd be doing all of it anyway. The only thing she changed was pointing the phone the right way and letting AI turn one week of her actual life into a month of content for the brands behind it. Here's the mechanism. She films her week - no script, no shoot day, just her life. AI cuts it into 20+ reels, writes every caption in each brand's voice, builds the calendar, sends the report that renews the deal. The part that used to need an editor, a writer, a strategist, and a manager is now one chat window. She kept the only thing AI can't do: actually being there, living it. Seven brands across her hobbies. ~$3,200 each. $22,000 a month - at 21, from a phone and a $40 stack of AI. Her cost doesn't move whether she has one brand or ten. That's the whole business. Everyone her age is filming the exact same life and posting it for free, calling it a personal brand. She pointed hers at the brands that pay and let the system carry the 90% that used to cost a five-person agency. This is the part that should sting: the footage was never the hard part, she'd have shot it regardless. The team around it was. And that team just collapsed into a subscription. The full playbook - niches, how to find brands, how to close them is right below. Save it before someone half your motivation reads it first👇
0:14

She's 21. She makes $22,000 a month doing nothing, but filming her own life - the gym, the surf, the climbing, the run and letting AI do the rest. She's not a model. She doesn't sell a course. She just lives a full life on camera and every single hobby is a brand category that's desperate for content. The surf clip is a wakeboard brand's ad. The climbing gym wants the bouldering footage. The track session is an activewear drop. The smoothie after is a supplement post. She'd be doing all of it anyway. The only thing she changed was pointing the phone the right way and letting AI turn one week of her actual life into a month of content for the brands behind it. Here's the mechanism. She films her week - no script, no shoot day, just her life. AI cuts it into 20+ reels, writes every caption in each brand's voice, builds the calendar, sends the report that renews the deal. The part that used to need an editor, a writer, a strategist, and a manager is now one chat window. She kept the only thing AI can't do: actually being there, living it. Seven brands across her hobbies. ~$3,200 each. $22,000 a month - at 21, from a phone and a $40 stack of AI. Her cost doesn't move whether she has one brand or ten. That's the whole business. Everyone her age is filming the exact same life and posting it for free, calling it a personal brand. She pointed hers at the brands that pay and let the system carry the 90% that used to cost a five-person agency. This is the part that should sting: the footage was never the hard part, she'd have shot it regardless. The team around it was. And that team just collapsed into a subscription. The full playbook - niches, how to find brands, how to close them is right below. Save it before someone half your motivation reads it first👇

Rich

32,535 görüntüleme • 3 ay önce

Jordan Peterson exposed the business model behind your outrage. Peterson: “People will choose false adventures if they don’t choose real adventures. And being a martyr and being angry and having enemies when they’re unnecessary, those are forms of false adventure.” That is not social commentary. That is a vulnerability disclosure for the human operating system. Two million years of evolution built every circuit in your brain for one job. Survival. Predators. Famine. Plagues that erased bloodlines before anyone could name them. That world is gone. The hardware is not. Remove real threats and the brain doesn’t power down. It hallucinates new ones. Invented enemies. Imagined oppressors. Moral crusades that feel like survival because they run on survival firmware. The institutions found the exploit before you did. They didn’t warn you. They monetized it. Media doesn’t report danger. It manufactures demand for it. Universities don’t cure false adventures. They sell the most expensive ones on the market. Six figures to teach you the system is rigged. The tuition is the proof. Political machines don’t solve crises. They breed them. Then campaign on the antidote. Nobody is suppressing your outrage. They are farming it. Your anger is not a threat to the system. It is the system. The false adventure runs on the same neurochemistry as the real one. Same adrenaline. Same moral certainty. Same tribal belonging. Your body cannot tell the difference between a real threat and a manufactured one. That is the exploit. And every institution feeding you false enemies has a financial incentive to make sure you never patch it. Every civilization that reached peak comfort ran the same program. Not by coincidence. By wiring. Pressure forges people. People build systems. Systems create comfort. Comfort erases the pressure. The cycle has never once been broken from the inside. Rome didn’t fall to barbarians. It fell to Romans who outsourced everything that made them Roman. War to mercenaries. Labor to slaves. Purpose to spectacle. The empire didn’t run out of resources. It ran out of people who remembered what the resources were for. Now drop AI into this. The most powerful technology ever built is arriving in the exact window when the species is most psychologically unmoored. Within a decade AI drives the cost of intelligence toward zero. The machines will not starve us. They will hand us everything. And leave us standing in the most comfortable world ever built with nothing real left to fight for. The false adventures will not slow down. They will become the entire economy. But here is where the pattern breaks. Every civilization before this one ran the program blind. We are the first that can read the code. The question was never whether comfort would arrive. It was whether the false wars would keep you too busy to ever start the real one.
0:11

Jordan Peterson exposed the business model behind your outrage. Peterson: “People will choose false adventures if they don’t choose real adventures. And being a martyr and being angry and having enemies when they’re unnecessary, those are forms of false adventure.” That is not social commentary. That is a vulnerability disclosure for the human operating system. Two million years of evolution built every circuit in your brain for one job. Survival. Predators. Famine. Plagues that erased bloodlines before anyone could name them. That world is gone. The hardware is not. Remove real threats and the brain doesn’t power down. It hallucinates new ones. Invented enemies. Imagined oppressors. Moral crusades that feel like survival because they run on survival firmware. The institutions found the exploit before you did. They didn’t warn you. They monetized it. Media doesn’t report danger. It manufactures demand for it. Universities don’t cure false adventures. They sell the most expensive ones on the market. Six figures to teach you the system is rigged. The tuition is the proof. Political machines don’t solve crises. They breed them. Then campaign on the antidote. Nobody is suppressing your outrage. They are farming it. Your anger is not a threat to the system. It is the system. The false adventure runs on the same neurochemistry as the real one. Same adrenaline. Same moral certainty. Same tribal belonging. Your body cannot tell the difference between a real threat and a manufactured one. That is the exploit. And every institution feeding you false enemies has a financial incentive to make sure you never patch it. Every civilization that reached peak comfort ran the same program. Not by coincidence. By wiring. Pressure forges people. People build systems. Systems create comfort. Comfort erases the pressure. The cycle has never once been broken from the inside. Rome didn’t fall to barbarians. It fell to Romans who outsourced everything that made them Roman. War to mercenaries. Labor to slaves. Purpose to spectacle. The empire didn’t run out of resources. It ran out of people who remembered what the resources were for. Now drop AI into this. The most powerful technology ever built is arriving in the exact window when the species is most psychologically unmoored. Within a decade AI drives the cost of intelligence toward zero. The machines will not starve us. They will hand us everything. And leave us standing in the most comfortable world ever built with nothing real left to fight for. The false adventures will not slow down. They will become the entire economy. But here is where the pattern breaks. Every civilization before this one ran the program blind. We are the first that can read the code. The question was never whether comfort would arrive. It was whether the false wars would keep you too busy to ever start the real one.

Dustin

10,689 görüntüleme • 2 ay önce

THE CLOUD BILL WAS $14,000 A MONTH. EVERY MONTH. JUST FOR GPU ACCESS. No ownership. No hardware. Just renting someone else's chips and watching the invoice grow. So this startup did the math and bought 1,000 Mac Mini M4s instead. $599 each. One-time. Total: ~$599,000 upfront. Sounds insane. Until you do the math the other way. $14K/mo in cloud GPUs is $168K a year. In 3.5 years you've burned through $599K and own nothing. The meter just keeps running. These guys own the hardware. Same output. Less power draw. And after year 4, every month of compute is basically free. The M4 was never built for data centers. But its performance per watt is so good that someone looked at a rack of a thousand of them and thought "why not." That's when it clicks. The AI infrastructure race isn't about who has the biggest GPU anymore. It's about who figured out they were overpaying for one. Would you make this switch?
0:13

THE CLOUD BILL WAS $14,000 A MONTH. EVERY MONTH. JUST FOR GPU ACCESS. No ownership. No hardware. Just renting someone else's chips and watching the invoice grow. So this startup did the math and bought 1,000 Mac Mini M4s instead. $599 each. One-time. Total: ~$599,000 upfront. Sounds insane. Until you do the math the other way. $14K/mo in cloud GPUs is $168K a year. In 3.5 years you've burned through $599K and own nothing. The meter just keeps running. These guys own the hardware. Same output. Less power draw. And after year 4, every month of compute is basically free. The M4 was never built for data centers. But its performance per watt is so good that someone looked at a rack of a thousand of them and thought "why not." That's when it clicks. The AI infrastructure race isn't about who has the biggest GPU anymore. It's about who figured out they were overpaying for one. Would you make this switch?

Framez

18,004 görüntüleme • 1 ay önce

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.
0:11

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.

Melvin

180,578 görüntüleme • 2 ay önce

In the middle of all the teams and numbers, it is easy to forget that a flood is a deeply personal thing for the family living through it. Chitrakoot's response has not forgotten that. Rescue by boat, shelter in relief camps, food and medicines, drone surveillance to find the stranded, officers physically among the people, all of it points to one idea, that no family should be left to face this alone. That is the message coming out of Chitrakoot, and it is a reassuring one. Yogi Sarkar is standing with the people when it counts, and that is exactly when it matters most.
0:15

In the middle of all the teams and numbers, it is easy to forget that a flood is a deeply personal thing for the family living through it. Chitrakoot's response has not forgotten that. Rescue by boat, shelter in relief camps, food and medicines, drone surveillance to find the stranded, officers physically among the people, all of it points to one idea, that no family should be left to face this alone. That is the message coming out of Chitrakoot, and it is a reassuring one. Yogi Sarkar is standing with the people when it counts, and that is exactly when it matters most.

Vatsala Singh

10,724 görüntüleme • 1 ay önce

1 mini PC that fits in a palm, with no monthly token bill attached to it. Most people run their AI through a browser tab. Every prompt, every document, every half-finished idea leaves the machine and lands on someone else's server. This ORICO mini PC runs the model locally. The assistant lives inside the box, not in a data center 2,000 miles away. Small enough to slide into a bag. Powerful enough that you stop noticing it is not a desktop. You pay once for hardware instead of every month for limits. No outage that takes your assistant down with it. No terms of service deciding what your files are worth. Plug it in anywhere, and the assistant is already there, offline, waiting. The smallest machine on the desk is the only one that keeps its mouth shut.
0:11

1 mini PC that fits in a palm, with no monthly token bill attached to it. Most people run their AI through a browser tab. Every prompt, every document, every half-finished idea leaves the machine and lands on someone else's server. This ORICO mini PC runs the model locally. The assistant lives inside the box, not in a data center 2,000 miles away. Small enough to slide into a bag. Powerful enough that you stop noticing it is not a desktop. You pay once for hardware instead of every month for limits. No outage that takes your assistant down with it. No terms of service deciding what your files are worth. Plug it in anywhere, and the assistant is already there, offline, waiting. The smallest machine on the desk is the only one that keeps its mouth shut.

AiMind

82,756 görüntüleme • 1 ay önce

Your body fat is a tank with a tap on it, and the tap narrows as the tank empties. - Plenty of fat: your body covers almost any deficit you ask it to - Getting leaner: it covers less each day - Properly lean: it covers very little, and the rest comes off the plate Which is why the first stone comes off while you barely notice, and the last one takes everything you have. So when you are lean, the shortfall has to arrive as food. And the industry hands you the wrong bag. Push the protein. Two hundred grams. Two fifty. Chicken breast on a kitchen scale. Past what you build with, protein is a fuel your liver has to strip the nitrogen off before you can use a calorie of it, and that machinery has a speed limit. So the extra hundred grams builds nothing and lifts nothing. Protein is what you build with. Fat and carbohydrate are what you lift with. Cut them both to make room for another shake and you have removed the thing that was moving the weight. Fat wins that choice. Twice the energy per gram. Leaves insulin alone, so the fat you are burning is not told to stay put every three hours. Keeps you full. And it is the same fuel your own stores are already releasing. Eat the fat. It is the one thing on the plate that matters more the leaner you get, and the first thing they told you to cut.
0:17

Your body fat is a tank with a tap on it, and the tap narrows as the tank empties. - Plenty of fat: your body covers almost any deficit you ask it to - Getting leaner: it covers less each day - Properly lean: it covers very little, and the rest comes off the plate Which is why the first stone comes off while you barely notice, and the last one takes everything you have. So when you are lean, the shortfall has to arrive as food. And the industry hands you the wrong bag. Push the protein. Two hundred grams. Two fifty. Chicken breast on a kitchen scale. Past what you build with, protein is a fuel your liver has to strip the nitrogen off before you can use a calorie of it, and that machinery has a speed limit. So the extra hundred grams builds nothing and lifts nothing. Protein is what you build with. Fat and carbohydrate are what you lift with. Cut them both to make room for another shake and you have removed the thing that was moving the weight. Fat wins that choice. Twice the energy per gram. Leaves insulin alone, so the fat you are burning is not told to stay put every three hours. Keeps you full. And it is the same fuel your own stores are already releasing. Eat the fat. It is the one thing on the plate that matters more the leaner you get, and the first thing they told you to cut.

Sama Hoole

23,527 görüntüleme • 1 ay önce

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

542,317 görüntüleme • 5 ay önce