正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

this is f*cking insane. Matthew Gallagher is the first one-man billion-dollar company. He built it SOLO with AI. $20,000 and two months to start. $401 million in year one, on track for $1.8 billion. Hims & Hers does the same business with 2,000 employees. Not a smaller team. No... show more

Jey

1,293 subscribers

145,133 次观看 • 13 天前 •via X (Twitter)

科学技术健康养生财经

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

$401 million in revenue in year one. $1.8 billion projected for this one. Employees: two. Him and his brother. AI wrote the code, made the ads, answered the customers. Starting capital: $20,000. The New York Times called it the future of business. The future is already here, just not evenly distributed. This is the moment when anyone with a laptop and the will to figure it out can make money.

$401 million in revenue in year one. $1.8 billion projected for this one. Employees: two. Him and his brother. AI wrote the code, made the ads, answered the customers. Starting capital: $20,000. The New York Times called it the future of business. The future is already here, just not evenly distributed. This is the moment when anyone with a laptop and the will to figure it out can make money.

shmidt

156,604 次观看 • 28 天前

Anthropic's CEO: "coding is going away first. then all of software engineering." he's right. the same wave that ends employees funds builders. solo builders get funded. the first one-person billion dollar company ships in 24 months. 0.03% of humans pay for AI today. 99.97% is untouched market. this decade does not reward job titles. it rewards builders. this guy just shipped the builder's guide. the playbook for the company you're about to start.

Anthropic's CEO: "coding is going away first. then all of software engineering." he's right. the same wave that ends employees funds builders. solo builders get funded. the first one-person billion dollar company ships in 24 months. 0.03% of humans pay for AI today. 99.97% is untouched market. this decade does not reward job titles. it rewards builders. this guy just shipped the builder's guide. the playbook for the company you're about to start.

Rohit

266,607 次观看 • 3 个月前

Goldman Sachs rejected him for partner, he quit, started with $3 million, and built a fund that made $7 billion in a single year then he bought his former boss's $43.5 million beach house - and demolished it. Built one twice the size in its place Bookmark & Watch it. Then read the post below - a hedge fund manager called a $5 billion company "the best managed pyramid scheme in history" ↓

Goldman Sachs rejected him for partner, he quit, started with $3 million, and built a fund that made $7 billion in a single year then he bought his former boss's $43.5 million beach house - and demolished it. Built one twice the size in its place Bookmark & Watch it. Then read the post below - a hedge fund manager called a $5 billion company "the best managed pyramid scheme in history" ↓

Сarm1ne

576,676 次观看 • 3 个月前

Matthew Gallagher built a company doing more than $3 million a day with one employee, and he told The New York Times: "It's not an A.I. company, but I did it with A.I." This is him explaining what he actually automated - and the half of the company he never touched. The front is AI. The code, the website, the ad creative, the customer replies, the performance reports. The back is rented. Doctors, pharmacies and shipping run on somebody else's platform. It was never clean. His chatbot invented drug prices and recommended products the company does not sell. More than 1,000 customer calls landed on his personal cellphone. Since launch he has hired one person. His younger brother. The AI never picked the market or found the gap. A human did that first, then handed the chores to the machine. Watch how he split it, then work the 9 steps in the article below.

Matthew Gallagher built a company doing more than $3 million a day with one employee, and he told The New York Times: "It's not an A.I. company, but I did it with A.I." This is him explaining what he actually automated - and the half of the company he never touched. The front is AI. The code, the website, the ad creative, the customer replies, the performance reports. The back is rented. Doctors, pharmacies and shipping run on somebody else's platform. It was never clean. His chatbot invented drug prices and recommended products the company does not sell. More than 1,000 customer calls landed on his personal cellphone. Since launch he has hired one person. His younger brother. The AI never picked the market or found the gap. A human did that first, then handed the chores to the machine. Watch how he split it, then work the 9 steps in the article below.

Jey

88,207 次观看 • 10 天前

CEO of a trillion-dollar company sat in a Stanford classroom in 2011 and explained exactly how he built it. No PR team, no prepared remarks, no investors in the room. No business school has ever added the recording to a syllabus. His name is Jensen Huang. He co-founded NVIDIA in 1993 with $40,000. By 2011 the company was worth $9 billion. Today it is worth over $3 trillion. He walked into the Stanford ASES Summit and gave away the entire playbook to a room of fifty students for free. The lecture is about when to bet everything on one technology before the market knows it exists. He did it with GPUs. Then with CUDA. Then with AI infrastructure. Three bets, same logic, same company, three different industries. The uncomfortable part is what he says about risk. He almost went bankrupt twice. What he did both times is the opposite of what every MBA program teaches. Business schools charge $200K in tuition to teach frameworks he rejected before his company was worth a billion. Every founder podcast repeats the same five lessons. Almost none of them mention what Huang actually did when the company was ninety days from dying. That part is in the lecture. It has been free for fifteen years. Filmed by a student with a handheld camera. Audio cuts in and out. He gave away the playbook of the most valuable company on Earth to fifty people. Almost nobody watched it. One classroom. One camera. The full lecture is free. It is in the video.

CEO of a trillion-dollar company sat in a Stanford classroom in 2011 and explained exactly how he built it. No PR team, no prepared remarks, no investors in the room. No business school has ever added the recording to a syllabus. His name is Jensen Huang. He co-founded NVIDIA in 1993 with $40,000. By 2011 the company was worth $9 billion. Today it is worth over $3 trillion. He walked into the Stanford ASES Summit and gave away the entire playbook to a room of fifty students for free. The lecture is about when to bet everything on one technology before the market knows it exists. He did it with GPUs. Then with CUDA. Then with AI infrastructure. Three bets, same logic, same company, three different industries. The uncomfortable part is what he says about risk. He almost went bankrupt twice. What he did both times is the opposite of what every MBA program teaches. Business schools charge $200K in tuition to teach frameworks he rejected before his company was worth a billion. Every founder podcast repeats the same five lessons. Almost none of them mention what Huang actually did when the company was ninety days from dying. That part is in the lecture. It has been free for fifteen years. Filmed by a student with a handheld camera. Audio cuts in and out. He gave away the playbook of the most valuable company on Earth to fifty people. Almost nobody watched it. One classroom. One camera. The full lecture is free. It is in the video.

Tigerflow

74,029 次观看 • 20 天前

Mark Zuckerberg, co-founder and CEO of Meta: "In the next 12 to 18 months... most of the code that's going toward these efforts is written by AI. And I don't mean autocomplete." He said it with a shrug. No warning, no hedge. The man pouring roughly $70 billion a year into AI infrastructure says AI already "writes higher quality code than the average very good person on the team," and will write the majority of Meta's AI research code within a year and a half. That is the part that should unsettle you more than any doomer. Hinton is scared. Bostrom is scared. Zuckerberg is not scared at all, and he is telling you the exact same thing they are: the replacement is not someday. It is a hiring cycle away. He just happens to be cheerful about it. The scientists warn you it is coming. The builders are quietly shipping it.

Mark Zuckerberg, co-founder and CEO of Meta: "In the next 12 to 18 months... most of the code that's going toward these efforts is written by AI. And I don't mean autocomplete." He said it with a shrug. No warning, no hedge. The man pouring roughly $70 billion a year into AI infrastructure says AI already "writes higher quality code than the average very good person on the team," and will write the majority of Meta's AI research code within a year and a half. That is the part that should unsettle you more than any doomer. Hinton is scared. Bostrom is scared. Zuckerberg is not scared at all, and he is telling you the exact same thing they are: the replacement is not someday. It is a hiring cycle away. He just happens to be cheerful about it. The scientists warn you it is coming. The builders are quietly shipping it.

Casper

328,755 次观看 • 1 个月前

A solo developer just received billion dollar acquisition offers from OpenAi and Meta he built it alone. no team. no funding. just AI as his co-founder this is what the new economy looks like

A solo developer just received billion dollar acquisition offers from OpenAi and Meta he built it alone. no team. no funding. just AI as his co-founder this is what the new economy looks like

Mika

16,611 次观看 • 6 个月前

Will I be the first one-person billion-dollar company? I don't care. My goal is to be the first one-person company to help a billion people get into the new AI economy. That's Polsia. Fun talking through it with the extremely talented Will Phillips on his behind-the-scenes documentary.

Will I be the first one-person billion-dollar company? I don't care. My goal is to be the first one-person company to help a billion people get into the new AI economy. That's Polsia. Fun talking through it with the extremely talented Will Phillips on his behind-the-scenes documentary.

Ben Cera

79,653 次观看 • 3 个月前

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->

cvxv666

82,211 次观看 • 19 天前

Jacob Bank, former Google product lead: "I built up this team of 40 AI marketing agents to work with me. I'm the only marketing person." In a 15-minute talk, he shows what one person with the right setup now runs alone. Forty agents. One human. His AI bill is $500 a month, against the $50,000 a human team would cost. That's the math quietly minting the first solo fortunes of the AI era. Watch the talk, then read the piece below. Bookmark this one.

Jacob Bank, former Google product lead: "I built up this team of 40 AI marketing agents to work with me. I'm the only marketing person." In a 15-minute talk, he shows what one person with the right setup now runs alone. Forty agents. One human. His AI bill is $500 a month, against the $50,000 a human team would cost. That's the math quietly minting the first solo fortunes of the AI era. Watch the talk, then read the piece below. Bookmark this one.

Zephyr

430,170 次观看 • 1 个月前

sam altman, ceo of openAI, said: “it’s now very much possible to build a one-man billion dollar company.” the best thing you can do for yourself right now is bet on AI, we’re nowhere near the saturation point. there’s no better time to start your solopreneur journey than today. in the article below, I broke down 5 AI business models you can start right now. give it a read and start your journey.

sam altman, ceo of openAI, said: “it’s now very much possible to build a one-man billion dollar company.” the best thing you can do for yourself right now is bet on AI, we’re nowhere near the saturation point. there’s no better time to start your solopreneur journey than today. in the article below, I broke down 5 AI business models you can start right now. give it a read and start your journey.

m0h

14,478 次观看 • 3 个月前

Sophie Rain made $100,000,000 on OnlyFans in 2 years. Some random guy in Austin made $43,000 in his first month. The girl on his page is AI. No camera. No model. No team. A MacBook and four files. Claude writes her DMs. Flux generates her photos. A $40 voice clone sends voice notes at midnight. One fan spent $1,847 in a single month. He still thinks she's a real girl from Tampa. The entire thing runs while he sleeps. The crazy part? A year ago this would've taken a team and months to build. Now one guy with a laptop can set it up over a weekend. Dropping one example in the replies. Full breakdown below. 👇

Sophie Rain made $100,000,000 on OnlyFans in 2 years. Some random guy in Austin made $43,000 in his first month. The girl on his page is AI. No camera. No model. No team. A MacBook and four files. Claude writes her DMs. Flux generates her photos. A $40 voice clone sends voice notes at midnight. One fan spent $1,847 in a single month. He still thinks she's a real girl from Tampa. The entire thing runs while he sleeps. The crazy part? A year ago this would've taken a team and months to build. Now one guy with a laptop can set it up over a weekend. Dropping one example in the replies. Full breakdown below. 👇

wluha

43,875 次观看 • 2 个月前

Head of Engineering Shopify: "AI writes the code, AI reviews the code. Your job is just to write the loops around it." 26 minutes on how AI changed the way 3,000 engineers work inside a single company. Ignoring it while everyone else uses AI to do more is the fastest way to fall behind. Watch it, then read the step by step guide on loops below.

Head of Engineering Shopify: "AI writes the code, AI reviews the code. Your job is just to write the loops around it." 26 minutes on how AI changed the way 3,000 engineers work inside a single company. Ignoring it while everyone else uses AI to do more is the fastest way to fall behind. Watch it, then read the step by step guide on loops below.

Anatoli Kopadze

716,240 次观看 • 2 个月前

Head of Engineering Shopify: "AI writes the code, AI reviews the code. Your job is just to write the loops around it." 26 minutes on how AI changed the way 3,000 engineers work inside a single company. Ignoring it while everyone else uses AI to do more is the fastest way to fall behind. Watch it, then read the step by step guide on loops below.

Head of Engineering Shopify: "AI writes the code, AI reviews the code. Your job is just to write the loops around it." 26 minutes on how AI changed the way 3,000 engineers work inside a single company. Ignoring it while everyone else uses AI to do more is the fastest way to fall behind. Watch it, then read the step by step guide on loops below.

Anatoli Kopadze

55,350 次观看 • 1 个月前

THIS GUY REPLACED HIS ENTIRE CONTENT TEAM WITH A FREE AI AGENT - NOW GETS 340K VIEWS PER POST ALONE 😳 he uses hermes + obsidian and it's completely free - runs on the claude plan he already had you give it one idea and it splits into a team one part researches, one finds the angle, one writes the post, one turns it into a newsletter, one makes the captions all of that from a single sentence it already knows his voice, his audience, his business - so nothing it makes sounds generic he doesn't manage it, remind it, or babysit it 7,100 bookmarks, 340K views, 20 minutes per post, zero team, zero paid tools ↓ he wrote the full guide so you can copy the exact setup from zero:

THIS GUY REPLACED HIS ENTIRE CONTENT TEAM WITH A FREE AI AGENT - NOW GETS 340K VIEWS PER POST ALONE 😳 he uses hermes + obsidian and it's completely free - runs on the claude plan he already had you give it one idea and it splits into a team one part researches, one finds the angle, one writes the post, one turns it into a newsletter, one makes the captions all of that from a single sentence it already knows his voice, his audience, his business - so nothing it makes sounds generic he doesn't manage it, remind it, or babysit it 7,100 bookmarks, 340K views, 20 minutes per post, zero team, zero paid tools ↓ he wrote the full guide so you can copy the exact setup from zero:

Isra

25,704 次观看 • 2 个月前

IF YOU HAVE 30 DAYS TO MAKE $20K, START CREATING FACELESS YOUTUBE VIDEOS it is so simple a 14 year old pulls $10k a month with it and that is what makes people mad the whole thing is faceless YouTube videos built with AI you pick one narrow topic people already search for, tech reviews, finance breakdowns, scary stories you hand Claude the topic and it writes the full script in the voice of that channel you feed the script into an AI voice tool and it reads the whole thing back clean then AI pulls the b roll and stitches the footage so you never film a second of it you upload daily and let the same faceless format compound across 30 videos channels running this exact loop print money from ad revenue while the creator stays completely anonymous one person can run 3 of these channels at once because the machine does the writing the voice and the edit start now while most people still think you need a face and a camera to make this work dropping a full step by step guide + setup tomorrow go through the article below to start

IF YOU HAVE 30 DAYS TO MAKE $20K, START CREATING FACELESS YOUTUBE VIDEOS it is so simple a 14 year old pulls $10k a month with it and that is what makes people mad the whole thing is faceless YouTube videos built with AI you pick one narrow topic people already search for, tech reviews, finance breakdowns, scary stories you hand Claude the topic and it writes the full script in the voice of that channel you feed the script into an AI voice tool and it reads the whole thing back clean then AI pulls the b roll and stitches the footage so you never film a second of it you upload daily and let the same faceless format compound across 30 videos channels running this exact loop print money from ad revenue while the creator stays completely anonymous one person can run 3 of these channels at once because the machine does the writing the voice and the edit start now while most people still think you need a face and a camera to make this work dropping a full step by step guide + setup tomorrow go through the article below to start

Miss Scarlett

87,564 次观看 • 24 天前

A DEVELOPER STOOD UP AT A CONFERENCE AND APOLOGIZED TO THE ENTIRE INDUSTRY FOR ONE LINE OF CODE HE WROTE IN 1965. THAT SINGLE DECISION HAS SINCE CAUSED CRASHES, BREACHES AND ROUGHLY A BILLION DOLLARS OF DAMAGE AND YOU HIT IT EVERY SINGLE DAY 61 minutes from Tony Hoare -- the man who invented quicksort, won the Turing Award, and passed away in early 2026, leaving this as one of his most honest talks. -> His confession: he added the null reference, letting any variable secretly mean "nothing", simply because it was easy to implement. That one shortcut became the null pointer, the undefined, the None -- the crash waiting inside almost every program ever written. He calls it his billion-dollar mistake, and he is not exaggerating. Whole classes of bugs and security holes trace straight back to it. And this is the deeper lesson under the AI rush: the easy shortcut you ship today becomes the landmine everyone steps on for the next 40 years. You thought null was just part of how code works. This is the talk where the man who made it tells you it never had to be. Bookmark & Watch this one. You'll never type null the same way ↓

A DEVELOPER STOOD UP AT A CONFERENCE AND APOLOGIZED TO THE ENTIRE INDUSTRY FOR ONE LINE OF CODE HE WROTE IN 1965. THAT SINGLE DECISION HAS SINCE CAUSED CRASHES, BREACHES AND ROUGHLY A BILLION DOLLARS OF DAMAGE AND YOU HIT IT EVERY SINGLE DAY 61 minutes from Tony Hoare -- the man who invented quicksort, won the Turing Award, and passed away in early 2026, leaving this as one of his most honest talks. -> His confession: he added the null reference, letting any variable secretly mean "nothing", simply because it was easy to implement. That one shortcut became the null pointer, the undefined, the None -- the crash waiting inside almost every program ever written. He calls it his billion-dollar mistake, and he is not exaggerating. Whole classes of bugs and security holes trace straight back to it. And this is the deeper lesson under the AI rush: the easy shortcut you ship today becomes the landmine everyone steps on for the next 40 years. You thought null was just part of how code works. This is the talk where the man who made it tells you it never had to be. Bookmark & Watch this one. You'll never type null the same way ↓

slash1s

278,746 次观看 • 1 个月前

Mockler on Cost of Iran War: So in New York, they did free school lunches for $300 million a year, put that against the $50 billion, which is a conservative estimate for this war. We could have funded this across the country. How about in Connecticut? They have paid family leave. It was $450 million a year. And it is $5 million to start up. Put that against the $50 billion. It is a no brainer. What about one more in New Mexico. It costs $1.5 billion for free college. We could do that 20 times over with the $50 billion that we've spent.

Mockler on Cost of Iran War: So in New York, they did free school lunches for $300 million a year, put that against the $50 billion, which is a conservative estimate for this war. We could have funded this across the country. How about in Connecticut? They have paid family leave. It was $450 million a year. And it is $5 million to start up. Put that against the $50 billion. It is a no brainer. What about one more in New Mexico. It costs $1.5 billion for free college. We could do that 20 times over with the $50 billion that we've spent.

Acyn

529,396 次观看 • 3 个月前

A multi-billion dollar company called the Houston Rockets put out a video on the schedule release for their basketball team This is it

A multi-billion dollar company called the Houston Rockets put out a video on the schedule release for their basketball team This is it

Andrew Schlecht

1,833,802 次观看 • 1 年前

A PhD student built a working nuclear fusion reactor in his garage, let an AI run it, and 400 thousand dollars later he works for Elon Musk. he posted it once. that single post ended with a grant in his account and a job offer from the most powerful man on earth. not a simulation. not a school project. an actual device that fuses atoms, sitting where his car used to be. fusion is the thing governments have been chasing for 70 years with billion dollar labs. the hard part was never the reactor itself. it was the control. the plasma inside has to be held at conditions hotter than the core of the sun, and it shifts and collapses in milliseconds. no human can react fast enough to keep it stable. so he stopped trying to do it himself. he handed the control loop to an AI. the model reads the sensor data hundreds of times a second, predicts how the plasma is about to move, and adjusts the magnetic fields before it ever drifts out of line. it does not wait for the plasma to misbehave. it sees it coming and corrects it before it happens. the same reaction-before-the-event speed no person could ever match. this is the exact kind of build people are tearing apart inside Neuro Club. not to make reactors, but because the workflow is identical for anything hard. let the AI run the loop, predict the problem, fix it before it breaks. same playbook whether it is plasma or a business. then the post went out. within days Elon's fusion team reached out. they did not ask him to interview for an entry role. they handed him a 400 thousand dollar grant and pulled him onto the team building this at scale. one garage build turned a PhD student into an operator for the most ambitious man alive. here is the part that should stop you. he was one guy with a PhD, a garage, and an AI model doing the job that entire teams of physicists used to fail at. the AI was not assisting him. it was the operator. he built the hardware. the machine ran it. and that was enough to get noticed at the very top. most people think AI writes emails and makes pictures. meanwhile someone pointed it at one of the hardest physics problems on earth, held the plasma steady, and got paid by Elon Musk for it. the gap is not between humans and AI anymore. it is between the people who realize what this thing can already do and the people still using it to summarize their inbox.

A PhD student built a working nuclear fusion reactor in his garage, let an AI run it, and 400 thousand dollars later he works for Elon Musk. he posted it once. that single post ended with a grant in his account and a job offer from the most powerful man on earth. not a simulation. not a school project. an actual device that fuses atoms, sitting where his car used to be. fusion is the thing governments have been chasing for 70 years with billion dollar labs. the hard part was never the reactor itself. it was the control. the plasma inside has to be held at conditions hotter than the core of the sun, and it shifts and collapses in milliseconds. no human can react fast enough to keep it stable. so he stopped trying to do it himself. he handed the control loop to an AI. the model reads the sensor data hundreds of times a second, predicts how the plasma is about to move, and adjusts the magnetic fields before it ever drifts out of line. it does not wait for the plasma to misbehave. it sees it coming and corrects it before it happens. the same reaction-before-the-event speed no person could ever match. this is the exact kind of build people are tearing apart inside Neuro Club. not to make reactors, but because the workflow is identical for anything hard. let the AI run the loop, predict the problem, fix it before it breaks. same playbook whether it is plasma or a business. then the post went out. within days Elon's fusion team reached out. they did not ask him to interview for an entry role. they handed him a 400 thousand dollar grant and pulled him onto the team building this at scale. one garage build turned a PhD student into an operator for the most ambitious man alive. here is the part that should stop you. he was one guy with a PhD, a garage, and an AI model doing the job that entire teams of physicists used to fail at. the AI was not assisting him. it was the operator. he built the hardware. the machine ran it. and that was enough to get noticed at the very top. most people think AI writes emails and makes pictures. meanwhile someone pointed it at one of the hardest physics problems on earth, held the plasma steady, and got paid by Elon Musk for it. the gap is not between humans and AI anymore. it is between the people who realize what this thing can already do and the people still using it to summarize their inbox.

Born to gamble

347,359 次观看 • 2 个月前