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A dead MIT professor accidentally destroyed the $20 billion executive coaching industry with one hour of lecture, and ten million people have already watched him do it. He filmed it once in January 2018 and died eighteen months later. Executive coaches charge fifteen thousand dollars a session to teach... a third of what he covered in that one hour for free. His name was Patrick Winston. He ran the MIT Artificial Intelligence Laboratory from 1972 to 1997 and wrote the AI textbook every computer science major in the world read for thirty years. Every January for four decades, he gave a lecture called "How to Speak." His entire framework fits on a napkin. Do not read. Be in the image. Keep images simple. Eliminate clutter. Start with an empathetic connection. End with a punch line the audience can repeat over dinner. Never open with a joke. Never end with "thank you." That last rule alone has probably cost the executive coaching industry a hundred million dollars. "Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas. In that order." That is the actual opening line of the lecture. Winston believed it strongly enough to spend fifty years teaching computer scientists how to talk. Founders spend $80,000 on an MBA and then hire a communications coach to teach them the same material Winston filmed once for free. Engineers write brilliant code and lose promotions to teammates who watched this lecture on the train. The lecture is free on MIT OpenCourseWare. The textbook is free on his page. Winston died in 2019. Almost none of the ten million viewers have actually implemented the four rules on the napkin. The napkin is free. The willingness to actually use it in your next meeting is the entire edge.show more

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Ten million people have watched an MIT professor accidentally destroy the executive coaching industry. He filmed the lecture once in January 2018 and died eighteen months later. Executive coaches charge fifteen thousand dollars a session to teach a third of what he covered in one hour for free. His name was Patrick Winston. He ran the MIT Artificial Intelligence Laboratory from 1972 to 1997 and wrote the AI textbook every computer science major in the world read for thirty years. Every January for four decades, he gave a lecture called "How to Speak." His entire framework fits on a napkin. Do not read. Be in the image. Keep images simple. Eliminate clutter. Start with an empathetic connection. End with a punch line the audience can repeat over dinner. Never open with a joke. Never end with "thank you." That last rule alone has probably cost the executive coaching industry a hundred million dollars. "Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas. In that order." That is the actual opening line of the lecture. Winston believed it strongly enough to spend fifty years teaching computer scientists how to talk. Founders spend $80,000 on an MBA and then hire a communications coach to teach them the same material Winston filmed once for free. Engineers write brilliant code and lose promotions to teammates who watched this lecture on the train. The lecture is free on MIT OpenCourseWare. The textbook is free on his page. Winston died in 2019. Almost none of the ten million viewers have actually implemented the four rules on the napkin. The napkin is free. The willingness to actually use it in your next meeting is the entire edge.

Ten million people have watched an MIT professor accidentally destroy the executive coaching industry. He filmed the lecture once in January 2018 and died eighteen months later. Executive coaches charge fifteen thousand dollars a session to teach a third of what he covered in one hour for free. His name was Patrick Winston. He ran the MIT Artificial Intelligence Laboratory from 1972 to 1997 and wrote the AI textbook every computer science major in the world read for thirty years. Every January for four decades, he gave a lecture called "How to Speak." His entire framework fits on a napkin. Do not read. Be in the image. Keep images simple. Eliminate clutter. Start with an empathetic connection. End with a punch line the audience can repeat over dinner. Never open with a joke. Never end with "thank you." That last rule alone has probably cost the executive coaching industry a hundred million dollars. "Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas. In that order." That is the actual opening line of the lecture. Winston believed it strongly enough to spend fifty years teaching computer scientists how to talk. Founders spend $80,000 on an MBA and then hire a communications coach to teach them the same material Winston filmed once for free. Engineers write brilliant code and lose promotions to teammates who watched this lecture on the train. The lecture is free on MIT OpenCourseWare. The textbook is free on his page. Winston died in 2019. Almost none of the ten million viewers have actually implemented the four rules on the napkin. The napkin is free. The willingness to actually use it in your next meeting is the entire edge.

Lumen

192,670 просмотров • 6 дней назад

10 million people watched an MIT professor accidentally destroy the executive coaching industry. He recorded one lecture in 2018. It has taught more people to communicate than courses costing thousands of dollars. Patrick Winston, former director of MIT's AI Lab, spent decades refining a simple framework for speaking that still outperforms most modern coaching. Watch the lecture. Then read the article below to learn how to apply it. 👇

10 million people watched an MIT professor accidentally destroy the executive coaching industry. He recorded one lecture in 2018. It has taught more people to communicate than courses costing thousands of dollars. Patrick Winston, former director of MIT's AI Lab, spent decades refining a simple framework for speaking that still outperforms most modern coaching. Watch the lecture. Then read the article below to learn how to apply it. 👇

Manisha Mishra

17,752 просмотров • 16 дней назад

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

70,947 просмотров • 11 дней назад

In 2019, MIT professor Patrick Winston gave a legendary 1-hour lecture called “How to Speak.” It has 18M+ views for a reason. His frameworks: • Your ideas are like your children • The 5-minute rule for job talks • Why jokes fail at the start 15 lessons on communication:

In 2019, MIT professor Patrick Winston gave a legendary 1-hour lecture called “How to Speak.” It has 18M+ views for a reason. His frameworks: • Your ideas are like your children • The 5-minute rule for job talks • Why jokes fail at the start 15 lessons on communication:

Jaynit

5,504,066 просмотров • 4 месяцев назад

Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.

Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.

Rossst.03

281,905 просмотров • 1 месяц назад

An Indian physicist put the entire secret behind Renaissance's $100 billion on one chalkboard: a coin that barely beats 50/50. he is V. Balakrishnan, and his lecture went viral years after he recorded it. it has been free the whole time. almost nobody who trades has watched it. lecture one is the humblest thing in all of finance. a coin that lands your way a little more than half the time. that is the entire edge. that is all Renaissance ever had. the post above is the one equation for what to do with that coin. not what to bet. how much. bet too little and you die of old age. bet too much and one flip ends you. that same coin is every trade, every hand, every prediction market. a tiny edge, flipped a million times. the whole machine fits on his board, and he charged nothing for it. no slides. no notes. one coin and a stick of chalk. a quant I know says this old Indian lecture taught him probability better than his entire degree. the coin is free. the equation is free. the discipline to size it is the only thing left to earn.

An Indian physicist put the entire secret behind Renaissance's $100 billion on one chalkboard: a coin that barely beats 50/50. he is V. Balakrishnan, and his lecture went viral years after he recorded it. it has been free the whole time. almost nobody who trades has watched it. lecture one is the humblest thing in all of finance. a coin that lands your way a little more than half the time. that is the entire edge. that is all Renaissance ever had. the post above is the one equation for what to do with that coin. not what to bet. how much. bet too little and you die of old age. bet too much and one flip ends you. that same coin is every trade, every hand, every prediction market. a tiny edge, flipped a million times. the whole machine fits on his board, and he charged nothing for it. no slides. no notes. one coin and a stick of chalk. a quant I know says this old Indian lecture taught him probability better than his entire degree. the coin is free. the equation is free. the discipline to size it is the only thing left to earn.

Rossst.03

157,874 просмотров • 11 дней назад

$In 2008 a Stanford professor stood at a podium and proved, for free, that information and money grow by the exact same equation. it was filmed. it has been free for 18 years. 7,000 people watched it. Thomas Cover died four years later and took the fame with him. his life's work: Shannon's information theory and Kelly's betting formula are one thing. how much to bet is just how much you know. every quant sizing a trade in 2026 is standing on Cover, whether they know the name or not. he wrote the book every information theorist trains on. the lecture that ties it all to money sits on YouTube with fewer views than a cat clip. skip to where he turns a horse race into a stock market. same math. a bit of information, a fraction of your bankroll, one growth rate. no fund. no signal. one professor and one equation. a quant I know says this hour is the missing chapter behind every book on position sizing he owns. you are 18 years late. it is still free.$

In 2008 a Stanford professor stood at a podium and proved, for free, that information and money grow by the exact same equation. it was filmed. it has been free for 18 years. 7,000 people watched it. Thomas Cover died four years later and took the fame with him. his life's work: Shannon's information theory and Kelly's betting formula are one thing. how much to bet is just how much you know. every quant sizing a trade in 2026 is standing on Cover, whether they know the name or not. he wrote the book every information theorist trains on. the lecture that ties it all to money sits on YouTube with fewer views than a cat clip. skip to where he turns a horse race into a stock market. same math. a bit of information, a fraction of your bankroll, one growth rate. no fund. no signal. one professor and one equation. a quant I know says this hour is the missing chapter behind every book on position sizing he owns. you are 18 years late. it is still free.

Loran

33,640 просмотров • 16 дней назад

The MIT professor Congress subpoenaed in 2014 for calling the American voter "stupid" also filmed the free 26-hour microeconomics course every Goldman Sachs analyst has to know before their $250,000 signing bonus interview. Millions have watched. Almost no retail investor has finished it. His name is Jonathan Gruber. He is the Ford Professor of Economics at MIT and one of the two economists Barack Obama's team called into the White House in early 2009 to model the cost curve of the Affordable Care Act. The 75-minute clip in this video is one lecture from 14.01 Principles of Microeconomics, filmed at MIT and posted on OpenCourseWare for nothing. MIT charges $85,000 a year to sit in that classroom. He posted the entire course for free. Gruber covers the mathematical foundation of every decision under uncertainty in one semester. Expected utility. The average happiness you should expect from a decision weighted by probability. Every insurance premium on earth is priced from this formula. Risk aversion. The reason people pay ten dollars for a policy that covers a one-dollar loss with five percent probability. The reason almost every retail trader closes winners early and holds losers long. Marginal rate of substitution. Every salary negotiation, every product bundle at Amazon, and every menu at a Michelin restaurant is priced on it. Adverse selection. Why healthy people leave the insurance pool and sick people stay. Gruber used this exact equation to model the individual mandate of Obamacare. Moral hazard. The reason people drive faster with seatbelts and gamble bigger with a bailout guarantee. Every quant fund on Wall Street pays entry level analysts $250,000 to know this material. Every consulting firm pays McKinsey partners $500,000 to teach it to Fortune 500 clients as a workshop. The one MIT professor who ran the policy modeling for the largest healthcare law in American history gave away the whole framework on YouTube for nothing. "The most surprising fact about human decision-making is how systematically we violate every model that predicts it." That is a paraphrase Gruber returns to across the series. The lectures are free on MIT OpenCourseWare. Gruber's textbook is under sixty dollars. The math is free. The willingness to sit through 26 hours of microeconomics before signing a mortgage, buying an insurance policy, or opening a brokerage account is a much rarer commodity than the confidence to walk in without it.

The MIT professor Congress subpoenaed in 2014 for calling the American voter "stupid" also filmed the free 26-hour microeconomics course every Goldman Sachs analyst has to know before their $250,000 signing bonus interview. Millions have watched. Almost no retail investor has finished it. His name is Jonathan Gruber. He is the Ford Professor of Economics at MIT and one of the two economists Barack Obama's team called into the White House in early 2009 to model the cost curve of the Affordable Care Act. The 75-minute clip in this video is one lecture from 14.01 Principles of Microeconomics, filmed at MIT and posted on OpenCourseWare for nothing. MIT charges $85,000 a year to sit in that classroom. He posted the entire course for free. Gruber covers the mathematical foundation of every decision under uncertainty in one semester. Expected utility. The average happiness you should expect from a decision weighted by probability. Every insurance premium on earth is priced from this formula. Risk aversion. The reason people pay ten dollars for a policy that covers a one-dollar loss with five percent probability. The reason almost every retail trader closes winners early and holds losers long. Marginal rate of substitution. Every salary negotiation, every product bundle at Amazon, and every menu at a Michelin restaurant is priced on it. Adverse selection. Why healthy people leave the insurance pool and sick people stay. Gruber used this exact equation to model the individual mandate of Obamacare. Moral hazard. The reason people drive faster with seatbelts and gamble bigger with a bailout guarantee. Every quant fund on Wall Street pays entry level analysts $250,000 to know this material. Every consulting firm pays McKinsey partners $500,000 to teach it to Fortune 500 clients as a workshop. The one MIT professor who ran the policy modeling for the largest healthcare law in American history gave away the whole framework on YouTube for nothing. "The most surprising fact about human decision-making is how systematically we violate every model that predicts it." That is a paraphrase Gruber returns to across the series. The lectures are free on MIT OpenCourseWare. Gruber's textbook is under sixty dollars. The math is free. The willingness to sit through 26 hours of microeconomics before signing a mortgage, buying an insurance policy, or opening a brokerage account is a much rarer commodity than the confidence to walk in without it.

Lumen

124,159 просмотров • 3 дней назад

Insurance is the oldest of the four ways. It is a nine-trillion-dollar global industry. The equation underneath it was invented in 1560 by a broke Italian gambler. His name was Girolamo Cardano. He wrote a book called Liber de Ludo Aleae. A short manual on how to win at dice. Nobody in finance read it for four hundred years. Then in 1996 a ninety-year-old man in New York wrote a book that traced every modern risk model back to that manual. He called it Against the Gods. One thesis. Every dollar of premium ever collected on Earth is a footnote to a gambler scribbling in Milan. His name was Peter Bernstein. He founded the Journal of Portfolio Management in 1974 and ran money at Bernstein-Macaulay before that. Wall Street called him the historian of risk. In 2008 a small production company filmed him for thirteen minutes. He walked through the entire five-hundred-year arc. Cardano to Pascal to Fermat to Black-Scholes. Then he stopped and said the industry had built glass towers on the back of an idea a broke Italian scribbled to settle a card debt. He died the following summer. Age ninety. Reinsurance premiums crossed six hundred billion dollars last year. Every actuary on Earth prices catastrophe risk with the same expected-value framework Cardano invented to shave the house edge in Milan. The video is thirteen minutes and twenty-two seconds long. Free. Eleven years on YouTube. Twenty-nine thousand people have watched it. Almost none of them work in insurance.

Insurance is the oldest of the four ways. It is a nine-trillion-dollar global industry. The equation underneath it was invented in 1560 by a broke Italian gambler. His name was Girolamo Cardano. He wrote a book called Liber de Ludo Aleae. A short manual on how to win at dice. Nobody in finance read it for four hundred years. Then in 1996 a ninety-year-old man in New York wrote a book that traced every modern risk model back to that manual. He called it Against the Gods. One thesis. Every dollar of premium ever collected on Earth is a footnote to a gambler scribbling in Milan. His name was Peter Bernstein. He founded the Journal of Portfolio Management in 1974 and ran money at Bernstein-Macaulay before that. Wall Street called him the historian of risk. In 2008 a small production company filmed him for thirteen minutes. He walked through the entire five-hundred-year arc. Cardano to Pascal to Fermat to Black-Scholes. Then he stopped and said the industry had built glass towers on the back of an idea a broke Italian scribbled to settle a card debt. He died the following summer. Age ninety. Reinsurance premiums crossed six hundred billion dollars last year. Every actuary on Earth prices catastrophe risk with the same expected-value framework Cardano invented to shave the house edge in Milan. The video is thirteen minutes and twenty-two seconds long. Free. Eleven years on YouTube. Twenty-nine thousand people have watched it. Almost none of them work in insurance.

Isa

1,230,296 просмотров • 5 дней назад

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.

Voltex

27,976 просмотров • 1 месяц назад

In 2013 a Wall Street risk boss walked up to an MIT chalkboard and gave away the exact math desks charge $400,000 a year to run. MIT filmed it. it has been free for 13 years. 7.9 million people pressed play and almost none of them changed a thing. his point: the Wall Street edge was never a secret. it is a first lecture. options, risk, how a payout is actually built. every prediction-market trader hunting an edge in 2026 is chasing what Jake Xia put on a board in hour one of a free class. he ran risk for a living, not a channel. the video outdrew most blockbusters and still moved almost no one, because watching is not doing. skip to where he prices risk. he takes the thing quant threads sell for $500 and builds it from zero, slow enough for a beginner to follow. no paywall. no NDA. one board and a marker. a quant I know sends this link to every junior who whines the math is too hard. you are 13 years late. it is still free.

In 2013 a Wall Street risk boss walked up to an MIT chalkboard and gave away the exact math desks charge $400,000 a year to run. MIT filmed it. it has been free for 13 years. 7.9 million people pressed play and almost none of them changed a thing. his point: the Wall Street edge was never a secret. it is a first lecture. options, risk, how a payout is actually built. every prediction-market trader hunting an edge in 2026 is chasing what Jake Xia put on a board in hour one of a free class. he ran risk for a living, not a channel. the video outdrew most blockbusters and still moved almost no one, because watching is not doing. skip to where he prices risk. he takes the thing quant threads sell for $500 and builds it from zero, slow enough for a beginner to follow. no paywall. no NDA. one board and a marker. a quant I know sends this link to every junior who whines the math is too hard. you are 13 years late. it is still free.

Loran

151,219 просмотров • 17 дней назад

A Carnegie Mellon professor who spent ten years building rides for Disney walked on stage with ten tumors in his liver and spent 76 minutes explaining how to get what you want out of life. For free. Keynote speakers charge $30,000 for a thinner version of it. He opened with the scans and the doctors' prognosis: three to six months left. Then he did pushups on stage so the room would stop pitying him. No cancer today. No faith either. Nothing about his wife and children, because he would not get through it. His name was Randy Pausch, a computer scientist who spent his career building virtual reality. The whole method fits on a napkin. A wall that stops you is not standing there against you, it is standing there to stop the people who want it less than you do. Worry when the criticism stops, not when it comes, because silence means they gave up on you. Bring something to the table before you ask for anything. Ask in the one way the other person cannot refuse. Give people time and they will eventually show you their good side. Twice he got into places that had told him no, the same way both times. NASA barred faculty from its zero gravity flights but let teams bring a journalist. He resigned as faculty advisor, applied as press, and brought headsets his lab had built for the others to film. Disney rejected him after his PhD. When they started a secret virtual reality project he called back, not for a job but for materials for a briefing to the Secretary of Defense, and six months later he was working inside Imagineering. Early on he explains a trick he calls the head fake: you send a child to play football not to learn football but to learn persistence. In the last minute it turns out he ran one on the room. They came for a story about childhood dreams and got a manual for living. Then he pulls off the second mask. The room was never the audience. His children were too young to remember him, and a recording was the only thing he could leave them. Five hundred people sat in that hall while a father talked to kids he would not see grow up. A senior executive I know sends this lecture to every new person on his team. Not a handbook, not an onboarding doc, this video. The lecture was later turned into a book that sold millions of copies, but the video is the same thing in Pausch's own voice, in front of the people it was written for. He died ten months later, at 47. The lecture is free. Writing the five rules down takes a minute. It is in the video.

A Carnegie Mellon professor who spent ten years building rides for Disney walked on stage with ten tumors in his liver and spent 76 minutes explaining how to get what you want out of life. For free. Keynote speakers charge $30,000 for a thinner version of it. He opened with the scans and the doctors' prognosis: three to six months left. Then he did pushups on stage so the room would stop pitying him. No cancer today. No faith either. Nothing about his wife and children, because he would not get through it. His name was Randy Pausch, a computer scientist who spent his career building virtual reality. The whole method fits on a napkin. A wall that stops you is not standing there against you, it is standing there to stop the people who want it less than you do. Worry when the criticism stops, not when it comes, because silence means they gave up on you. Bring something to the table before you ask for anything. Ask in the one way the other person cannot refuse. Give people time and they will eventually show you their good side. Twice he got into places that had told him no, the same way both times. NASA barred faculty from its zero gravity flights but let teams bring a journalist. He resigned as faculty advisor, applied as press, and brought headsets his lab had built for the others to film. Disney rejected him after his PhD. When they started a secret virtual reality project he called back, not for a job but for materials for a briefing to the Secretary of Defense, and six months later he was working inside Imagineering. Early on he explains a trick he calls the head fake: you send a child to play football not to learn football but to learn persistence. In the last minute it turns out he ran one on the room. They came for a story about childhood dreams and got a manual for living. Then he pulls off the second mask. The room was never the audience. His children were too young to remember him, and a recording was the only thing he could leave them. Five hundred people sat in that hall while a father talked to kids he would not see grow up. A senior executive I know sends this lecture to every new person on his team. Not a handbook, not an onboarding doc, this video. The lecture was later turned into a book that sold millions of copies, but the video is the same thing in Pausch's own voice, in front of the people it was written for. He died ten months later, at 47. The lecture is free. Writing the five rules down takes a minute. It is in the video.

Lima

249,780 просмотров • 6 дней назад

There's a physics lecture with over a million views' worth of value and almost no views. No slides. No notes. Just a green chalkboard and a man who clearly doesn't need one. The professor is V. Balakrishnan, IIT Madras. The course is Classical Physics, recorded for NPTEL — India's free national lecture archive — and quietly sitting on YouTube since 2009. What makes lecture one worth your time isn't production value. It's the opposite. It's a full subject held in one person's head, delivered in order, with nothing between him and the material. He opens with the actual boundary of the field: what classical mechanics can explain, and the precise point where it hands off to quantum theory. No hedging, no filler — every sentence finished before the next one starts. A friend who works in physics told me he went through the entire series and ranks it above courses he paid thousands of dollars for. It's been online for 17 years. Low resolution, zero marketing, still one of the best physics courses on the internet. Sometimes the best teaching in the world was never behind a paywall — it just wasn't in English-language algorithms' way of finding it.

There's a physics lecture with over a million views' worth of value and almost no views. No slides. No notes. Just a green chalkboard and a man who clearly doesn't need one. The professor is V. Balakrishnan, IIT Madras. The course is Classical Physics, recorded for NPTEL — India's free national lecture archive — and quietly sitting on YouTube since 2009. What makes lecture one worth your time isn't production value. It's the opposite. It's a full subject held in one person's head, delivered in order, with nothing between him and the material. He opens with the actual boundary of the field: what classical mechanics can explain, and the precise point where it hands off to quantum theory. No hedging, no filler — every sentence finished before the next one starts. A friend who works in physics told me he went through the entire series and ranks it above courses he paid thousands of dollars for. It's been online for 17 years. Low resolution, zero marketing, still one of the best physics courses on the internet. Sometimes the best teaching in the world was never behind a paywall — it just wasn't in English-language algorithms' way of finding it.

Nainsi Dwivedi

12,346 просмотров • 21 дней назад

Gilbert Strang, a quiet MIT professor, picked up a piece of chalk and explained the one skill standing between you and every account you have ever blown. MIT put the entire course online. it has been free for over twenty years. almost nobody finishes it. His point: the market never pays in certainties. it pays in probabilities, and a human gut can barely hold one straight. the math that holds ten thousand at once, weighs them, and collapses them into a single call is linear algebra. it is the branch Citadel and OpenAI both pay $400K to hire for. he is not a trading guru. his 18.06 lectures are the most watched math class on the planet. Skip to where he turns a wall of numbers into one vector. a single object carrying a thousand odds at once, in notation a beginner can follow. No slides. no jargon. one piece of chalk. a quant I know rewatches lecture one every year before he sizes a single position. You do not have a strategy problem. you have a math problem. the fix has been free for two decades, and you are still guessing.

Gilbert Strang, a quiet MIT professor, picked up a piece of chalk and explained the one skill standing between you and every account you have ever blown. MIT put the entire course online. it has been free for over twenty years. almost nobody finishes it. His point: the market never pays in certainties. it pays in probabilities, and a human gut can barely hold one straight. the math that holds ten thousand at once, weighs them, and collapses them into a single call is linear algebra. it is the branch Citadel and OpenAI both pay $400K to hire for. he is not a trading guru. his 18.06 lectures are the most watched math class on the planet. Skip to where he turns a wall of numbers into one vector. a single object carrying a thousand odds at once, in notation a beginner can follow. No slides. no jargon. one piece of chalk. a quant I know rewatches lecture one every year before he sizes a single position. You do not have a strategy problem. you have a math problem. the fix has been free for two decades, and you are still guessing.

Loran

47,412 просмотров • 21 дней назад

IN 1986 MIT FILMED A LECTURE THAT OPENS BY TELLING YOU COMPUTER SCIENCE IS NOT A SCIENCE AND HAS ALMOST NOTHING TO DO WITH COMPUTERS 72 minutes from Hal Abelson and Gerald Sussman, the lecture an entire generation of engineers calls the one that rewired how they think. -> The line that lands: computer science is about computers the way astronomy is about telescopes. The tool was never the point. The real subject was always one thing -- controlling complexity. Everything else is detail. Forty years later it reads like a prophecy. AI writes the syntax now. What's left is exactly what they taught: taming complexity nobody can hold in their head. The language was never the skill -> the thinking was. This is where you learn it. Most people chase the newest framework. The ones who watched this think on a level frameworks can't touch. Bookmark & Watch today it, this one's a legend ↓

IN 1986 MIT FILMED A LECTURE THAT OPENS BY TELLING YOU COMPUTER SCIENCE IS NOT A SCIENCE AND HAS ALMOST NOTHING TO DO WITH COMPUTERS 72 minutes from Hal Abelson and Gerald Sussman, the lecture an entire generation of engineers calls the one that rewired how they think. -> The line that lands: computer science is about computers the way astronomy is about telescopes. The tool was never the point. The real subject was always one thing -- controlling complexity. Everything else is detail. Forty years later it reads like a prophecy. AI writes the syntax now. What's left is exactly what they taught: taming complexity nobody can hold in their head. The language was never the skill -> the thinking was. This is where you learn it. Most people chase the newest framework. The ones who watched this think on a level frameworks can't touch. Bookmark & Watch today it, this one's a legend ↓

slash1s

361,827 просмотров • 1 месяц назад

A codebreaker made $31 billion. he returned 66% a year for thirty years. Buffett averaged 20%. Soros averaged 30%. nobody came close. he gave one lecture about it at MIT. Wall Street has spent forty years trying to reverse-engineer what he said. he didn't hire traders. not one MBA. not one analyst. he hired physicists, astronomers, and Cold War cryptographers. he ran the fund from a strip mall on Long Island. his name is Jim Simons. the Medallion Fund made more money than Goldman Sachs most years. he never explained how. the part nobody talks about: the same pattern recognition he used to crack Soviet codes for the NSA is what he used to crack financial markets. he said it in this lecture. nobody in finance picked it up. a quant at a multi-billion dollar fund told me they play this for every new hire on day one. not a textbook. not a model. a 45-minute talk from a man who beat Buffett, Soros, Dalio, and every hedge fund alive. $31 billion. one formula. zero finance people. Goldman, JPMorgan, Citadel, Bridgewater. he beat all of them. from a strip mall. the lecture is free. he died the following year. it is in the video.

A codebreaker made $31 billion. he returned 66% a year for thirty years. Buffett averaged 20%. Soros averaged 30%. nobody came close. he gave one lecture about it at MIT. Wall Street has spent forty years trying to reverse-engineer what he said. he didn't hire traders. not one MBA. not one analyst. he hired physicists, astronomers, and Cold War cryptographers. he ran the fund from a strip mall on Long Island. his name is Jim Simons. the Medallion Fund made more money than Goldman Sachs most years. he never explained how. the part nobody talks about: the same pattern recognition he used to crack Soviet codes for the NSA is what he used to crack financial markets. he said it in this lecture. nobody in finance picked it up. a quant at a multi-billion dollar fund told me they play this for every new hire on day one. not a textbook. not a model. a 45-minute talk from a man who beat Buffett, Soros, Dalio, and every hedge fund alive. $31 billion. one formula. zero finance people. Goldman, JPMorgan, Citadel, Bridgewater. he beat all of them. from a strip mall. the lecture is free. he died the following year. it is in the video.

Tigerflow

17,111 просмотров • 9 дней назад

An MIT professor explained the one idea funds pay $500K for, and he does it in the first hour of freshman calculus. MIT put the whole lecture online. it has been free for twenty years. almost nobody finishes it. his point: calculus is not a hundred formulas to memorize. it is one idea. take two points on a curve, slide them together until the gap vanishes, and the slope you are left with is the derivative. everything else is just consequences. he is David Jerison, and his 18.01 lectures have taught more people calculus than any room on earth. skip to the board, where the power rule, the product rule, the chain rule, the fifty things you were forced to memorize, all fall out of that one limit. no formula sheet. no tricks. one definition, reused. that same slope is velocity. it is marginal cost. it is the gradient that trains a neural network. one operation, hiding everywhere something moves. the math is free. what nobody can sell you is the patience to understand the one limit instead of cramming the fifty formulas that fall out of it. that hour is the foundation, and it is the only part that ever pays.

An MIT professor explained the one idea funds pay $500K for, and he does it in the first hour of freshman calculus. MIT put the whole lecture online. it has been free for twenty years. almost nobody finishes it. his point: calculus is not a hundred formulas to memorize. it is one idea. take two points on a curve, slide them together until the gap vanishes, and the slope you are left with is the derivative. everything else is just consequences. he is David Jerison, and his 18.01 lectures have taught more people calculus than any room on earth. skip to the board, where the power rule, the product rule, the chain rule, the fifty things you were forced to memorize, all fall out of that one limit. no formula sheet. no tricks. one definition, reused. that same slope is velocity. it is marginal cost. it is the gradient that trains a neural network. one operation, hiding everywhere something moves. the math is free. what nobody can sell you is the patience to understand the one limit instead of cramming the fifty formulas that fall out of it. that hour is the foundation, and it is the only part that ever pays.

Loran

1,072,205 просмотров • 20 дней назад

An MIT professor finds the prize behind a thousand doors by opening ten. no faster running. he just skips every door it cannot be behind. the lecture is called algorithmic thinking. 6 million people have watched it, and it has been free the whole time. brute force checks every door, one by one. a real algorithm throws away half of them with every step. same answer, a thousand times fewer moves, zero new hardware. now read the post above. that is Wall Street paying $300 million for the opposite. they drilled a cable through a mountain to open the same thousand doors 3 milliseconds faster. Devadas just stopped opening most of them. that same move is every search engine, every trading model, every small AI that beats a bigger one. the edge was never the speed of the machine. it was the shape of the idea. no cable. no mountain. one better idea. a quant I know says one algorithm rewrite beat a full year of latency upgrades on his desk. they spent $300 million to run the long way faster. the shortcut has been free for over a decade.

An MIT professor finds the prize behind a thousand doors by opening ten. no faster running. he just skips every door it cannot be behind. the lecture is called algorithmic thinking. 6 million people have watched it, and it has been free the whole time. brute force checks every door, one by one. a real algorithm throws away half of them with every step. same answer, a thousand times fewer moves, zero new hardware. now read the post above. that is Wall Street paying $300 million for the opposite. they drilled a cable through a mountain to open the same thousand doors 3 milliseconds faster. Devadas just stopped opening most of them. that same move is every search engine, every trading model, every small AI that beats a bigger one. the edge was never the speed of the machine. it was the shape of the idea. no cable. no mountain. one better idea. a quant I know says one algorithm rewrite beat a full year of latency upgrades on his desk. they spent $300 million to run the long way faster. the shortcut has been free for over a decade.

Rossst.03

81,024 просмотров • 13 дней назад

Harry Markowitz, the Nobel laureate who invented modern portfolio theory: "Every fund from Bridgewater to Citadel runs on one equation I wrote as a 25-year-old grad student. Wall Street pays quants $500K to use it. It's free." the thread above teaches you to build a portfolio the real way, with the mathematics of capital allocation. every line of it traces back to one paper markowitz wrote in 1952. before him, "don't put all your eggs in one basket" was folklore. he turned it into algebra. he proved a portfolio's risk isn't the average of its parts, it's driven by how the parts move together, the covariance. combine assets that don't move in lockstep and you cut risk without giving up return. that is the closest thing to a free lunch in all of finance, and he wrote the exact equation for how much of it you get. that single insight, mean-variance optimization, is the engine under every serious fund on earth. renaissance, bridgewater, citadel, your pension, all of them size risk with markowitz's math. he published it in 1952, won the nobel in 1990, and it sits in every textbook and this free lecture. same story i keep telling: the math that runs the trillion-dollar machine has been public and free for seventy years. here is the part markowitz himself warned about. the equation is only as good as the numbers you feed it, your estimates of return and covariance. feed it garbage and the "optimal" portfolio it hands back is confidently, precisely wrong, and it detonates in the exact crisis it was built to survive. the optimizer is free. estimating the future honestly, and knowing when to distrust your own inputs, is the entire job.

Harry Markowitz, the Nobel laureate who invented modern portfolio theory: "Every fund from Bridgewater to Citadel runs on one equation I wrote as a 25-year-old grad student. Wall Street pays quants $500K to use it. It's free." the thread above teaches you to build a portfolio the real way, with the mathematics of capital allocation. every line of it traces back to one paper markowitz wrote in 1952. before him, "don't put all your eggs in one basket" was folklore. he turned it into algebra. he proved a portfolio's risk isn't the average of its parts, it's driven by how the parts move together, the covariance. combine assets that don't move in lockstep and you cut risk without giving up return. that is the closest thing to a free lunch in all of finance, and he wrote the exact equation for how much of it you get. that single insight, mean-variance optimization, is the engine under every serious fund on earth. renaissance, bridgewater, citadel, your pension, all of them size risk with markowitz's math. he published it in 1952, won the nobel in 1990, and it sits in every textbook and this free lecture. same story i keep telling: the math that runs the trillion-dollar machine has been public and free for seventy years. here is the part markowitz himself warned about. the equation is only as good as the numbers you feed it, your estimates of return and covariance. feed it garbage and the "optimal" portfolio it hands back is confidently, precisely wrong, and it detonates in the exact crisis it was built to survive. the optimizer is free. estimating the future honestly, and knowing when to distrust your own inputs, is the entire job.

Rossst.03

44,131 просмотров • 1 месяц назад

Flip a coin. Heads, your account goes up 50 percent. Tails, it goes down 40 percent. Expected value is plus 5 percent a flip, so you take the bet a hundred times. Expected value says your $10,000 becomes $1.3 million. The most likely path leaves you with $52. An MIT professor explains the entire gap in one sentence, in a free undergraduate lecture, then moves on like it was nothing. His name is John Tsitsiklis. He teaches undergraduate probability at MIT. He also proved in 1994 that Q-learning converges, the result that says the algorithm under modern reinforcement learning does not merely happen to work, it has to. INFORMS gave him the von Neumann Theory Prize for that line of work in 2018. He runs the lecture on the students for an hour. First he takes the average apart. A random variable is not a number, it is a function. A bar graph of probabilities is a PMF. Expectation is the center of gravity of that bar graph, the single point where you slide a pen underneath and the thing balances. He is slow and patient about it. By minute 35 you trust the average completely. Then he stops and says he wants to give "one general word of caution." "The average of a function of a random variable, in general, is not the same as the function of the average... in general, you can not reason on the average." Everything before that sentence was the trap. Go back to the coin. Compounding is not addition. Up 50 then down 40 is not plus 10. It is 1.5 times 0.6, which is 0.9. You are down 10 percent. Do that 50 times each way and you have 0.9 to the fiftieth power. Fifty-two dollars. So where did the $1.3 million go? It is real. It is parked at the very top of the distribution. Run the hundred flips and only about one path in seven finishes above where you started. Only about one in a hundred ever reaches that $1.3 million. Those few runs are gigantic, and they carry the average for everybody else. You will not be in them. In February 2018 that trade had a ticker. XIV, short volatility, $1.9 billion in it. It had paid on the average day for seven years. On February 5 the VIX rose 115.6 percent, the biggest one-day jump ever recorded. XIV went from $115.55 to $4.22 overnight. Credit Suisse shut the note two weeks later. Nobody in it was wrong about the average. They were wrong about which path they were standing on. The usable version: your compound return is your average return minus roughly half your variance. A system averaging 20 percent a year at 40 percent vol does not compound at 20. It compounds at 12. That missing 8 is not fees or slippage. Tsitsiklis delivers the most expensive sentence in finance, finishes the variance section, and ends with "see you on Wednesday." The lecture is free. The average is free. Knowing which path you are standing on is the trade.

Flip a coin. Heads, your account goes up 50 percent. Tails, it goes down 40 percent. Expected value is plus 5 percent a flip, so you take the bet a hundred times. Expected value says your $10,000 becomes $1.3 million. The most likely path leaves you with $52. An MIT professor explains the entire gap in one sentence, in a free undergraduate lecture, then moves on like it was nothing. His name is John Tsitsiklis. He teaches undergraduate probability at MIT. He also proved in 1994 that Q-learning converges, the result that says the algorithm under modern reinforcement learning does not merely happen to work, it has to. INFORMS gave him the von Neumann Theory Prize for that line of work in 2018. He runs the lecture on the students for an hour. First he takes the average apart. A random variable is not a number, it is a function. A bar graph of probabilities is a PMF. Expectation is the center of gravity of that bar graph, the single point where you slide a pen underneath and the thing balances. He is slow and patient about it. By minute 35 you trust the average completely. Then he stops and says he wants to give "one general word of caution." "The average of a function of a random variable, in general, is not the same as the function of the average... in general, you can not reason on the average." Everything before that sentence was the trap. Go back to the coin. Compounding is not addition. Up 50 then down 40 is not plus 10. It is 1.5 times 0.6, which is 0.9. You are down 10 percent. Do that 50 times each way and you have 0.9 to the fiftieth power. Fifty-two dollars. So where did the $1.3 million go? It is real. It is parked at the very top of the distribution. Run the hundred flips and only about one path in seven finishes above where you started. Only about one in a hundred ever reaches that $1.3 million. Those few runs are gigantic, and they carry the average for everybody else. You will not be in them. In February 2018 that trade had a ticker. XIV, short volatility, $1.9 billion in it. It had paid on the average day for seven years. On February 5 the VIX rose 115.6 percent, the biggest one-day jump ever recorded. XIV went from $115.55 to $4.22 overnight. Credit Suisse shut the note two weeks later. Nobody in it was wrong about the average. They were wrong about which path they were standing on. The usable version: your compound return is your average return minus roughly half your variance. A system averaging 20 percent a year at 40 percent vol does not compound at 20. It compounds at 12. That missing 8 is not fees or slippage. Tsitsiklis delivers the most expensive sentence in finance, finishes the variance section, and ends with "see you on Wednesday." The lecture is free. The average is free. Knowing which path you are standing on is the trade.

Veles

626,081 просмотров • 16 дней назад