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A STANFORD GUY POINTED CLAUDE CODE AT 11,400 OBSIDIAN NOTES AND FOUND 214 ARGUMENTS HE'D HAD WITH HIMSELF 7 years of notes, 340MB of markdown, and a graph view that looked like a brain but never once thought. Every Sunday he opened the vault and every Sunday he closed...

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18,386 次观看 • 8 天前 •via X (Twitter)

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Karpathy method + Claude Code reading your whole Obsidian vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.
0:13

Karpathy method + Claude Code reading your whole Obsidian vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.

West Lord

592,441 次观看 • 1 个月前

Anthropic didn't build his memory system. He built it himself, and what you're looking at is the proof. Same source, no gatekeeping. The Obsidian CEO published it, anyone can install it. That's not a screensaver on his second monitor. It's his vault. Every point of light is a note. Every cluster is a project his AI already understands without being told again. He doesn't even touch the keyboard to move through it. One hand up, and the whole cluster tilts and spins, like he's turning a globe that happens to be his own head. A year ago he opened a new AI tab every morning and explained himself from scratch. Who he is, what he's building, what he wants. 200+ hours a year, just re-introducing himself to a machine. Then he stopped writing prompts and started writing one file instead. It loaded before every session. His goals, his projects, his blind spots. Claude read it first, every time, without asking. Now the cluster on that screen keeps growing on its own. New notes link themselves. Nothing gets explained twice. He's not showing off code. He's showing off the machine that finally stopped forgetting him.
0:13

Anthropic didn't build his memory system. He built it himself, and what you're looking at is the proof. Same source, no gatekeeping. The Obsidian CEO published it, anyone can install it. That's not a screensaver on his second monitor. It's his vault. Every point of light is a note. Every cluster is a project his AI already understands without being told again. He doesn't even touch the keyboard to move through it. One hand up, and the whole cluster tilts and spins, like he's turning a globe that happens to be his own head. A year ago he opened a new AI tab every morning and explained himself from scratch. Who he is, what he's building, what he wants. 200+ hours a year, just re-introducing himself to a machine. Then he stopped writing prompts and started writing one file instead. It loaded before every session. His goals, his projects, his blind spots. Claude read it first, every time, without asking. Now the cluster on that screen keeps growing on its own. New notes link themselves. Nothing gets explained twice. He's not showing off code. He's showing off the machine that finally stopped forgetting him.

Superior

108,125 次观看 • 1 个月前

YOUR OBSIDIAN VAULT READS ALL 2,000 NOTES TO ANSWER ONE QUESTION. THAT'S NOT A SECOND BRAIN. That's a hoarder with markdown files. Hundreds of thousands of tokens burned per answer, and it still grabs the wrong note half the time. A real second brain runs on a graph: a router, an index, nodes, edges. Fable 5 reads 2-3 files instead of the whole vault. Answer back in under a second. The graph view everyone screenshots in Obsidian is a poster. The index is the actual engine. Full 11-step build below, from raw vault to working graph 👇
0:18

YOUR OBSIDIAN VAULT READS ALL 2,000 NOTES TO ANSWER ONE QUESTION. THAT'S NOT A SECOND BRAIN. That's a hoarder with markdown files. Hundreds of thousands of tokens burned per answer, and it still grabs the wrong note half the time. A real second brain runs on a graph: a router, an index, nodes, edges. Fable 5 reads 2-3 files instead of the whole vault. Answer back in under a second. The graph view everyone screenshots in Obsidian is a poster. The index is the actual engine. Full 11-step build below, from raw vault to working graph 👇

unicode

52,729 次观看 • 16 天前

THIS MAN HASN’T HAD A SINGLE ORIGINAL IDEA IN 8 WEEKS. CLAUDE HAS ALL OF THEM BEFORE HE WAKES UP he gave claude his obsidian vault on a saturday by monday it found a link between two notes written 6 weeks apart in different folders he turned that connection into his best-performing post his competitors are still organizing folders and writing morning pages and brainstorming in notion the only difference is one file called CLAUDE.md every note = fuel and every morning = synthesis and every week = ideas compounding faster than he can publish them this is not a tool anymore and this is not even an assistant this is a second brain that studied you for 2 months straight bookmark & like this or lose it forever
0:15

THIS MAN HASN’T HAD A SINGLE ORIGINAL IDEA IN 8 WEEKS. CLAUDE HAS ALL OF THEM BEFORE HE WAKES UP he gave claude his obsidian vault on a saturday by monday it found a link between two notes written 6 weeks apart in different folders he turned that connection into his best-performing post his competitors are still organizing folders and writing morning pages and brainstorming in notion the only difference is one file called CLAUDE.md every note = fuel and every morning = synthesis and every week = ideas compounding faster than he can publish them this is not a tool anymore and this is not even an assistant this is a second brain that studied you for 2 months straight bookmark & like this or lose it forever

leopardracer

27,938 次观看 • 3 个月前

This man was riding a bike with his wife. He was already feeling unwell and had a bad cold. Suddenly, it started raining heavily on the way. He had only one raincoat. Even though he was sick, he didn't wear it himself. Instead, he gave it to his wife. He was shivering badly after getting completely soaked in the rain, but he still chose his wife's safety and comfort first. This is the life of a man. He endures every hardship himself but makes sure his wife and family never have to suffer.
0:19

This man was riding a bike with his wife. He was already feeling unwell and had a bad cold. Suddenly, it started raining heavily on the way. He had only one raincoat. Even though he was sick, he didn't wear it himself. Instead, he gave it to his wife. He was shivering badly after getting completely soaked in the rain, but he still chose his wife's safety and comfort first. This is the life of a man. He endures every hardship himself but makes sure his wife and family never have to suffer.

Saffron Chargers

182,278 次观看 • 1 个月前

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

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

IRISH PATRIOT

659,716 次观看 • 7 个月前

An OpenAI engineer stopped me at a hackathon in Hayes Valley I had my terminal open on a table. Three panels. Live trades scrolling. He was walking past and froze. "That's not a demo. That's a live scoring engine. What model is that" I told him. Claude Opus 4.7. Four repos. $25 a month. He pulled up a chair without asking. "We benchmarked Opus 4.7 internally. It beat o3 on structured reasoning across every eval we ran. And you're telling me you're using it to trade" I told him it does more than trade. It reads 86 million trades and finds who wins and why. No fine-tuning. No prompting chains. Just raw context. He leaned back. "Show me the data source" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You point Opus 4.7 at this and it reverse-engineers the strategy. It finds the wallets that win. Then it finds why they win. Then it copies the pattern" His team spent 14 months building something similar. 10 engineers. Custom infra. Still in staging. "The part that killed us was exit timing. Every model we trained nailed entries. But the best traders exit before the crowd. We never figured out the threshold" I told him my bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever comes first. He stopped talking. "How did you find that" Opus 4.7 found it in poly_data. Top wallets exit before resolution 86% of the time. Losers hold to 58%. Exits are the entire game. I opened another tab. "Three commands. 500 markets. Opus scores them in 20 minutes" "That's our internal eval pipeline. Except it took us a year and you did it in a weekend with our competitor's model" My setup: Claude Opus 4.7 - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400 in 19 days. Copytrade here: I showed him the article where I broke down every repo and every command. He read it twice. Then looked up. "You just published what we've been trying to ship for six months. Using the other team's model" He texted me the next day. "My manager found your thread. Delete it" Too late.
0:19

An OpenAI engineer stopped me at a hackathon in Hayes Valley I had my terminal open on a table. Three panels. Live trades scrolling. He was walking past and froze. "That's not a demo. That's a live scoring engine. What model is that" I told him. Claude Opus 4.7. Four repos. $25 a month. He pulled up a chair without asking. "We benchmarked Opus 4.7 internally. It beat o3 on structured reasoning across every eval we ran. And you're telling me you're using it to trade" I told him it does more than trade. It reads 86 million trades and finds who wins and why. No fine-tuning. No prompting chains. Just raw context. He leaned back. "Show me the data source" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You point Opus 4.7 at this and it reverse-engineers the strategy. It finds the wallets that win. Then it finds why they win. Then it copies the pattern" His team spent 14 months building something similar. 10 engineers. Custom infra. Still in staging. "The part that killed us was exit timing. Every model we trained nailed entries. But the best traders exit before the crowd. We never figured out the threshold" I told him my bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever comes first. He stopped talking. "How did you find that" Opus 4.7 found it in poly_data. Top wallets exit before resolution 86% of the time. Losers hold to 58%. Exits are the entire game. I opened another tab. "Three commands. 500 markets. Opus scores them in 20 minutes" "That's our internal eval pipeline. Except it took us a year and you did it in a weekend with our competitor's model" My setup: Claude Opus 4.7 - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400 in 19 days. Copytrade here: I showed him the article where I broke down every repo and every command. He read it twice. Then looked up. "You just published what we've been trying to ship for six months. Using the other team's model" He texted me the next day. "My manager found your thread. Delete it" Too late.

Lunar

136,634 次观看 • 4 个月前

A 17-year-old student spent $4,200 on 7 Mac minis. Small silver boxes. Stacked on a desk. Connected in one room. From the outside, it looked like a stupid purchase. But inside, it wasn't just 7 computers. It was Skills. Hooks. Memory. Worktrees. One machine handled repeatable tasks. One ran checks automatically. One kept context between sessions. Others ran parallel jobs without touching each other's work. While most people were still typing the same instructions again and again, his setup was already moving. A lot of people pay $200 a month for Claude and still use maybe 20% of it. He built a system around it. Skills turned repeated work into reusable workflows. Hooks made actions fire automatically. Memory stopped every session from starting at zero. Worktrees let multiple tasks run at the same time without collisions. That changed everything. Setup time: under 1 hour once. Time returned: 3 to 5 hours every day. He spent $4,200 once. He made $16,000 in the first week. Not because he found a secret tool. Not because he wrote magical prompts. Because he stopped using it like a chatbot and started using it like infrastructure. 7 Mac minis. 1 student. $4,200 in. $16,000 out. And most people would still call it just a stack of computers.
0:12

A 17-year-old student spent $4,200 on 7 Mac minis. Small silver boxes. Stacked on a desk. Connected in one room. From the outside, it looked like a stupid purchase. But inside, it wasn't just 7 computers. It was Skills. Hooks. Memory. Worktrees. One machine handled repeatable tasks. One ran checks automatically. One kept context between sessions. Others ran parallel jobs without touching each other's work. While most people were still typing the same instructions again and again, his setup was already moving. A lot of people pay $200 a month for Claude and still use maybe 20% of it. He built a system around it. Skills turned repeated work into reusable workflows. Hooks made actions fire automatically. Memory stopped every session from starting at zero. Worktrees let multiple tasks run at the same time without collisions. That changed everything. Setup time: under 1 hour once. Time returned: 3 to 5 hours every day. He spent $4,200 once. He made $16,000 in the first week. Not because he found a secret tool. Not because he wrote magical prompts. Because he stopped using it like a chatbot and started using it like infrastructure. 7 Mac minis. 1 student. $4,200 in. $16,000 out. And most people would still call it just a stack of computers.

Gipp 🦅

21,280 次观看 • 4 个月前

1 Neural Network + Obsidian + Karpathy’s 1-file method = the most unhinged second brain build of 2026. It remembers everything you’ve ever done, and it costs $0 on top of what you already pay. The base is Karpathy’s append and review: 1 giant note, new thoughts stack on top, old ones sink, every few days you reread and pull the survivors back up. No folders, no tags, no plugins the rereading IS the system, because review is what turns storage into thinking. The flaw: past 10,000 lines, no human rereads anything. That’s where the neural network takes over. You keep the note in Obsidian 1 vault, everything dumps to the top: ideas, links, meeting fragments, half-thoughts. You never organize, you only dump. It all lives as plain markdown on your own disk, and that detail is the whole trick. Because now you point Claude Code at the vault folder, and it reads every line you’ve ever written. “What did I think about pricing in March.” “Find the 3 ideas I keep circling.” “What did I drop that deserves a second look.” It answers from YOUR notes, with quotes, in 15 seconds. Then once a week, 1 prompt closes the loop: read the last 7 days, surface the 5 entries worth pulling back up, flag anything that contradicts what I wrote a month ago. The model does the sinking and surfacing Karpathy did by hand, and the note stays alive instead of turning into a graveyard. Week 1 feels like nothing. Week 4 you hit the first “I already solved this in January.” Month 3 you consult your past self more than Google. Most second brains die in 11 days under 40 plugins and 200 folders. This one is 1 file and a loop, and it compounds because dumping takes 0 discipline. Notion stores what you thought. This thing argues back.
0:16

1 Neural Network + Obsidian + Karpathy’s 1-file method = the most unhinged second brain build of 2026. It remembers everything you’ve ever done, and it costs $0 on top of what you already pay. The base is Karpathy’s append and review: 1 giant note, new thoughts stack on top, old ones sink, every few days you reread and pull the survivors back up. No folders, no tags, no plugins the rereading IS the system, because review is what turns storage into thinking. The flaw: past 10,000 lines, no human rereads anything. That’s where the neural network takes over. You keep the note in Obsidian 1 vault, everything dumps to the top: ideas, links, meeting fragments, half-thoughts. You never organize, you only dump. It all lives as plain markdown on your own disk, and that detail is the whole trick. Because now you point Claude Code at the vault folder, and it reads every line you’ve ever written. “What did I think about pricing in March.” “Find the 3 ideas I keep circling.” “What did I drop that deserves a second look.” It answers from YOUR notes, with quotes, in 15 seconds. Then once a week, 1 prompt closes the loop: read the last 7 days, surface the 5 entries worth pulling back up, flag anything that contradicts what I wrote a month ago. The model does the sinking and surfacing Karpathy did by hand, and the note stays alive instead of turning into a graveyard. Week 1 feels like nothing. Week 4 you hit the first “I already solved this in January.” Month 3 you consult your past self more than Google. Most second brains die in 11 days under 40 plugins and 200 folders. This one is 1 file and a loop, and it compounds because dumping takes 0 discipline. Notion stores what you thought. This thing argues back.

West Lord

24,679 次观看 • 1 个月前

Winston had been returned to the shelter three times before the Abbotts came for him. He was an old shar-pei, all wrinkles and gray whiskers, about 11 years old. Every family that took him home brought him back within a month. He was too old, too slow, and too set in his ways for most people. One family even said he was depressing to have around. By the time the Abbotts saw his photo online, the shelter staff had almost given up hope that anyone would choose him. Ray and Carol Abbott were in their late 60s and had just lost their own dog after 14 years together. Friends told them to get a puppy. Something young. Something with plenty of years ahead. Instead, they drove an hour to meet the old shar-pei nobody wanted. Carol says she knew the moment she saw him sitting quietly in the back of his kennel. That first night, Winston couldn't settle. He kept getting up to make sure Ray and Carol were still there. He'd walk to the bedroom, look at them sleeping, lie back down, then twenty minutes later he'd do it all again, as if he was waiting for someone to tell him it was over. Finally, Carol patted the foot of the bed. "Come on up, Winston. You're home now." He stood there for a long moment, almost like he couldn't believe she was talking to him. Then he climbed up slowly, turned around twice, and eased himself down against Ray's legs with a long groan that sounded more like relief than exhaustion. For the first time in months, Winston slept through the entire night. The Abbotts say he isn't going anywhere this time. And after being returned three times, Winston finally seems to believe them. Have you ever seen a dog realize it was finally home?
0:13

Winston had been returned to the shelter three times before the Abbotts came for him. He was an old shar-pei, all wrinkles and gray whiskers, about 11 years old. Every family that took him home brought him back within a month. He was too old, too slow, and too set in his ways for most people. One family even said he was depressing to have around. By the time the Abbotts saw his photo online, the shelter staff had almost given up hope that anyone would choose him. Ray and Carol Abbott were in their late 60s and had just lost their own dog after 14 years together. Friends told them to get a puppy. Something young. Something with plenty of years ahead. Instead, they drove an hour to meet the old shar-pei nobody wanted. Carol says she knew the moment she saw him sitting quietly in the back of his kennel. That first night, Winston couldn't settle. He kept getting up to make sure Ray and Carol were still there. He'd walk to the bedroom, look at them sleeping, lie back down, then twenty minutes later he'd do it all again, as if he was waiting for someone to tell him it was over. Finally, Carol patted the foot of the bed. "Come on up, Winston. You're home now." He stood there for a long moment, almost like he couldn't believe she was talking to him. Then he climbed up slowly, turned around twice, and eased himself down against Ray's legs with a long groan that sounded more like relief than exhaustion. For the first time in months, Winston slept through the entire night. The Abbotts say he isn't going anywhere this time. And after being returned three times, Winston finally seems to believe them. Have you ever seen a dog realize it was finally home?

Gabriele Corno

37,073 次观看 • 1 个月前

Warren Buffett used to read 5 to 6 hours every single day. 5 daily newspapers. Magazines. 10Ks. Annual reports. He had been doing this for over 70 years. Most people want Buffett's returns without Buffett's reading habits. That's not how it works. "I just read and read and read." No system. No shortcut. No AI summary. Just hours of sitting with information, thinking about it, and letting it compound in your head the same way money compounds in a portfolio. The edge isn't the reading. It's what 70 years of reading does to your pattern recognition. He still reads slower than he did when he was young. He still does it anyway. Most people quit reading the moment they leave school. Buffett never stopped. That gap sustained over decades is the entire explanation for why he sees things other people miss.
0:19

Warren Buffett used to read 5 to 6 hours every single day. 5 daily newspapers. Magazines. 10Ks. Annual reports. He had been doing this for over 70 years. Most people want Buffett's returns without Buffett's reading habits. That's not how it works. "I just read and read and read." No system. No shortcut. No AI summary. Just hours of sitting with information, thinking about it, and letting it compound in your head the same way money compounds in a portfolio. The edge isn't the reading. It's what 70 years of reading does to your pattern recognition. He still reads slower than he did when he was young. He still does it anyway. Most people quit reading the moment they leave school. Buffett never stopped. That gap sustained over decades is the entire explanation for why he sees things other people miss.

Milk Road Macro

60,945 次观看 • 3 个月前

I gave my Obsidian vault a lawyer's brain and now it argues with itself before it answers me three months ago I was drowning. 20 government acts, budget docs, constitutions, all sitting in my vault as dead markdown I could never actually query. so I stopped treating it like notes and built it a nervous system I turned it into a 10-node graph. every question I ask hits a router first. it decides in a split second: is this a greeting, is this garbage, is this vague, or is this real. greetings die for free. garbage gets rejected. and if my own question is too vague, the vault stops and asks ME to clarify before it wastes a single token then comes the part I'm proudest of. after it writes an answer, a second node reads that answer back against the actual chunks it pulled from my vault. if the answer isn't grounded in what I actually wrote, it kills it. my vault would rather say "I don't know" than lie to me. it physically cannot hallucinate I compressed 20+ dense documents into 15,408 chunks, cut the vectors by 75% so storage costs almost nothing, and cached everything so repeat questions come back in under 100 milliseconds I used to have a folder of files. now I have something that thinks before it speaks, checks itself before it answers, and refuses to make things up about my own life. that's the difference between storing knowledge and building a mind
0:15

I gave my Obsidian vault a lawyer's brain and now it argues with itself before it answers me three months ago I was drowning. 20 government acts, budget docs, constitutions, all sitting in my vault as dead markdown I could never actually query. so I stopped treating it like notes and built it a nervous system I turned it into a 10-node graph. every question I ask hits a router first. it decides in a split second: is this a greeting, is this garbage, is this vague, or is this real. greetings die for free. garbage gets rejected. and if my own question is too vague, the vault stops and asks ME to clarify before it wastes a single token then comes the part I'm proudest of. after it writes an answer, a second node reads that answer back against the actual chunks it pulled from my vault. if the answer isn't grounded in what I actually wrote, it kills it. my vault would rather say "I don't know" than lie to me. it physically cannot hallucinate I compressed 20+ dense documents into 15,408 chunks, cut the vectors by 75% so storage costs almost nothing, and cached everything so repeat questions come back in under 100 milliseconds I used to have a folder of files. now I have something that thinks before it speaks, checks itself before it answers, and refuses to make things up about my own life. that's the difference between storing knowledge and building a mind

NO1ennn

36,382 次观看 • 1 个月前

The richest man in the world had a habit nobody knew about. He jumped over things in his office. Started with a garbage can. Worked his way up. Thirty one years ago, Bill Gates sat down for a television interview on CBS. The interviewer pressed him hard on Microsoft's business practices and how the company had overtaken smaller rivals. The exchange grew tense. But at some point during the interview, she asked him something else entirely. "Is it true you can leap over a chair from a standing position?" Gates looked at the chair. Then said: "It depends on the size of the chair." And jumped clean over it. The clip sat largely forgotten for years until the internet found it and couldn't stop sharing it. What nobody knew at the time was that Gates had been jumping over office furniture for years. It started with a waste bin. Then a small chair. Then a regular chair. He just kept raising the bar, quietly, in his office, while running one of the most powerful companies on earth. In 2025 he appeared on a television programme, recreated the jump, and released a music video about it. The original interviewer appeared in the video.
0:18

The richest man in the world had a habit nobody knew about. He jumped over things in his office. Started with a garbage can. Worked his way up. Thirty one years ago, Bill Gates sat down for a television interview on CBS. The interviewer pressed him hard on Microsoft's business practices and how the company had overtaken smaller rivals. The exchange grew tense. But at some point during the interview, she asked him something else entirely. "Is it true you can leap over a chair from a standing position?" Gates looked at the chair. Then said: "It depends on the size of the chair." And jumped clean over it. The clip sat largely forgotten for years until the internet found it and couldn't stop sharing it. What nobody knew at the time was that Gates had been jumping over office furniture for years. It started with a waste bin. Then a small chair. Then a regular chair. He just kept raising the bar, quietly, in his office, while running one of the most powerful companies on earth. In 2025 he appeared on a television programme, recreated the jump, and released a music video about it. The original interviewer appeared in the video.

Dr. Lemma

400,864 次观看 • 5 个月前

My dad called Sunday morning. Said he was in the neighborhood. "Did you eat?" "No." "I'll grab bagels." He showed up an hour later. Sat at the kitchen table. Looked around. "So this is what you do all day." "Yeah." "What, you just code?" "Trading systems. Open-source. Anyone can see the code." He took a bite of his bagel. "So you code for free?" "No, dad. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $480 into $6,900 in 19 days. Another moved $5.3M in volume. One more had a 74% winrate across 214 trades. Sharpe 2.31. I didn't touch it once. He stopped chewing. "That's... from a script?" Exactly. Then I showed him the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. He went quiet for a long time. Then: "How long have you been doing this?" "Eight months." "And you didn't tell me?" I didn't have a good answer. Profile: Fathers don't ask about the money. They ask why you didn't tell them.
0:18

My dad called Sunday morning. Said he was in the neighborhood. "Did you eat?" "No." "I'll grab bagels." He showed up an hour later. Sat at the kitchen table. Looked around. "So this is what you do all day." "Yeah." "What, you just code?" "Trading systems. Open-source. Anyone can see the code." He took a bite of his bagel. "So you code for free?" "No, dad. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $480 into $6,900 in 19 days. Another moved $5.3M in volume. One more had a 74% winrate across 214 trades. Sharpe 2.31. I didn't touch it once. He stopped chewing. "That's... from a script?" Exactly. Then I showed him the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. He went quiet for a long time. Then: "How long have you been doing this?" "Eight months." "And you didn't tell me?" I didn't have a good answer. Profile: Fathers don't ask about the money. They ask why you didn't tell them.

Lunar

12,991 次观看 • 2 个月前

THIS TRADER TRAINED HIS OBSIDIAN VAULT ON HUNDREDS OF CHART PATTERNS AND NOW IT THINKS WITH HIM every setup he ever studied is in there > linked to the outcome > linked to the context > linked to what he was thinking at the time he types one command > Claude Code finds the relevant sources, runs analysis through NotebookLM, saves everything structured the vault doesn't just store information anymore it connects it most traders are still screenshotting charts into a Discord and forgetting them in 48 hours article below
0:10

THIS TRADER TRAINED HIS OBSIDIAN VAULT ON HUNDREDS OF CHART PATTERNS AND NOW IT THINKS WITH HIM every setup he ever studied is in there > linked to the outcome > linked to the context > linked to what he was thinking at the time he types one command > Claude Code finds the relevant sources, runs analysis through NotebookLM, saves everything structured the vault doesn't just store information anymore it connects it most traders are still screenshotting charts into a Discord and forgetting them in 48 hours article below

monokern

81,693 次观看 • 2 个月前

Sold 32 coins. Bought 1,550. 48 times more, at a 15% discount, into the crash the market blamed on the sale. Strategy disclosed today that while everyone panicked over its $2.5 million Bitcoin sale, it was quietly buying the dip that panic created. 1,550 Bitcoin for $101 million, at $65,332 a coin, far below the $77,135 it sold for and below its own cost basis. The bears called the sale the first crack, a forced liquidation, the start of the death spiral. The answer was a buy 48 times the size of the sale that scared them. This is the machine we described: a state-contingent allocator. Above its funding line, it turns market access into Bitcoin. The sale was the exception. The buy is the rule. It also closed the question the sale opened. The cash reserve behind the preferred dividends had thinned to $900 million, about six months of cover. He rebuilt it to $1 billion in the same week. But watch how, because that is the real story. He funded none of it with coins. He funded it with $181 million of freshly issued stock, then spent it on Bitcoin and the reserve. The coins were never the funding source. The equity is. That is the flywheel working exactly as built, and the cost of it surfacing at the same time. Every turn now runs on issuing shares, and the premium that once made each share buy more Bitcoin than it diluted has compressed hard. He bought low. He sold his own stock low to do it. So the question quietly turns. It was never whether Saylor sells his Bitcoin. He just proved again that he buys far more than he sells. It is what each turn of the engine now costs in dilution, and how long the market keeps paying a premium worth that cost. He bought the dip. The dip was partly his own making. And he paid for it in equity, not coins.
0:10

Sold 32 coins. Bought 1,550. 48 times more, at a 15% discount, into the crash the market blamed on the sale. Strategy disclosed today that while everyone panicked over its $2.5 million Bitcoin sale, it was quietly buying the dip that panic created. 1,550 Bitcoin for $101 million, at $65,332 a coin, far below the $77,135 it sold for and below its own cost basis. The bears called the sale the first crack, a forced liquidation, the start of the death spiral. The answer was a buy 48 times the size of the sale that scared them. This is the machine we described: a state-contingent allocator. Above its funding line, it turns market access into Bitcoin. The sale was the exception. The buy is the rule. It also closed the question the sale opened. The cash reserve behind the preferred dividends had thinned to $900 million, about six months of cover. He rebuilt it to $1 billion in the same week. But watch how, because that is the real story. He funded none of it with coins. He funded it with $181 million of freshly issued stock, then spent it on Bitcoin and the reserve. The coins were never the funding source. The equity is. That is the flywheel working exactly as built, and the cost of it surfacing at the same time. Every turn now runs on issuing shares, and the premium that once made each share buy more Bitcoin than it diluted has compressed hard. He bought low. He sold his own stock low to do it. So the question quietly turns. It was never whether Saylor sells his Bitcoin. He just proved again that he buys far more than he sells. It is what each turn of the engine now costs in dilution, and how long the market keeps paying a premium worth that cost. He bought the dip. The dip was partly his own making. And he paid for it in equity, not coins.

Shanaka Anslem Perera ⚡

142,587 次观看 • 2 个月前

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

22,390 次观看 • 1 个月前

It should be noted that Finn thought about calling for help then decisively shook his head no and reminded himself he wanted to do it on his own. It was very much a moment of him showing exactly who he is, the guy who can and will do it by himself in the future.
0:18

It should be noted that Finn thought about calling for help then decisively shook his head no and reminded himself he wanted to do it on his own. It was very much a moment of him showing exactly who he is, the guy who can and will do it by himself in the future.

hannah

220,021 次观看 • 5 个月前

The ground shook on Iwo Jima in 1945. Smoke choked the air. Marines were pinned down, nowhere to run. And in that frozen second, a 17-year-old made a decision no one should ever have to make. Jacklyn Lucas was just a teenager. He had lied about his age to join the fight. Too young for war. Too young for what was coming. But there he was, on a battlefield that did not care how old you were. Then it happened. Two enemy grenades landed near his fellow Marines. No time to think. No time to hesitate. Lucas moved. He threw himself directly onto both grenades, pressing them into the sand with his body. He knew what it meant. He knew what would happen next. The explosions hit. Sand, metal, and shock tore through him. His body absorbed the blast meant for everyone else. Around him, Marines who should have been gone were still breathing. He had taken it all. By some miracle, he survived. But survival came at a cost. His body was shattered. Dozens of wounds. Long months of recovery. Pain that never truly left. At 17, he had already given more than most people ever will. He received the Medal of Honor. One of the youngest ever. But medals do not follow you home at night. The war stayed with him. The memories. The weight of that moment. The knowledge of what he did and what it took from him. He lived a long life after that day. But the world moved on. The story faded. The boy who jumped on 2 grenades so others could live slowly became just another forgotten name in history. 17 years old. One decision. A lifetime of scars. And today, almost nobody remembers. 🙏
0:18

The ground shook on Iwo Jima in 1945. Smoke choked the air. Marines were pinned down, nowhere to run. And in that frozen second, a 17-year-old made a decision no one should ever have to make. Jacklyn Lucas was just a teenager. He had lied about his age to join the fight. Too young for war. Too young for what was coming. But there he was, on a battlefield that did not care how old you were. Then it happened. Two enemy grenades landed near his fellow Marines. No time to think. No time to hesitate. Lucas moved. He threw himself directly onto both grenades, pressing them into the sand with his body. He knew what it meant. He knew what would happen next. The explosions hit. Sand, metal, and shock tore through him. His body absorbed the blast meant for everyone else. Around him, Marines who should have been gone were still breathing. He had taken it all. By some miracle, he survived. But survival came at a cost. His body was shattered. Dozens of wounds. Long months of recovery. Pain that never truly left. At 17, he had already given more than most people ever will. He received the Medal of Honor. One of the youngest ever. But medals do not follow you home at night. The war stayed with him. The memories. The weight of that moment. The knowledge of what he did and what it took from him. He lived a long life after that day. But the world moved on. The story faded. The boy who jumped on 2 grenades so others could live slowly became just another forgotten name in history. 17 years old. One decision. A lifetime of scars. And today, almost nobody remembers. 🙏

G-MA & G-PA

54,576 次观看 • 6 个月前

57 YEARS OLD GUY IN US MADE MORE SELLING THIS TOOL THAN HE MADE IN 30 YEARS WORKING ON CONSTRUCTIONS Here's the story: a guy named John, worked all his live as a construction worker, his main job was building foundations for commercial and private properties He was getting too old and the job was physically exhausting, so he took a risk: He understood what problems his part of job has and started searching how to fix it He found this tool for reinforcement bending and came to his employer with an offer: Your firm spends $5,000/a month per guy who is responsible for this job + it takes 1 hour what this machine does in 1 minute I don't remember the whole math behind this offer, but he came up with $5,000 price per this device and they were ready to buy it He sold 20 of this to his firm, then he went to other firms and sold another 200 pieces Overall he managed to make around $500,000 of pure profit, making him a good retire money The guy saw the opportunity, took the risk and made it.
0:19

57 YEARS OLD GUY IN US MADE MORE SELLING THIS TOOL THAN HE MADE IN 30 YEARS WORKING ON CONSTRUCTIONS Here's the story: a guy named John, worked all his live as a construction worker, his main job was building foundations for commercial and private properties He was getting too old and the job was physically exhausting, so he took a risk: He understood what problems his part of job has and started searching how to fix it He found this tool for reinforcement bending and came to his employer with an offer: Your firm spends $5,000/a month per guy who is responsible for this job + it takes 1 hour what this machine does in 1 minute I don't remember the whole math behind this offer, but he came up with $5,000 price per this device and they were ready to buy it He sold 20 of this to his firm, then he went to other firms and sold another 200 pieces Overall he managed to make around $500,000 of pure profit, making him a good retire money The guy saw the opportunity, took the risk and made it.

DeFighter

755,747 次观看 • 24 天前