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Richard Feynman stood at a Cornell blackboard in 1964 and explained the problem every AI lab is fighting in 2026. The BBC filmed it. Almost nobody watches it. The lecture is about why nature only answers in mathematics. Every team forcing language models to reason is hitting the wall... he mapped 62 years ago. He was 46. The Nobel Prize came 11 months later. The footage survived on film reels and now sits free on YouTube with fewer views than a keyboard unboxing. Watch the blackboard section near the middle. He takes 1 of Kepler's laws and rebuilds it from nothing, with notation a 12-year-old can follow. No slides. No jargon. 1 piece of chalk. An ML engineer I know paused it 4 times and made his whole team watch it before standup. You're 62 years late. The lecture is still free.show more

Merlow

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Richard Feynman stood at a blackboard in 1964 and drew the line between knowing and understanding. Every AI benchmark in 2026 sits on the wrong side of it. Almost nobody watches the clip. His father taught him the difference as a boy. You can know a bird's name in every language and know nothing about the bird. Names track labels. Understanding survives when the labels change. He carried that into physics. You can compute every answer and understand none of them. A student who memorizes the formula knows. A student who can rebuild it from nothing understands. Now run today's models through his test. They name everything, compute everything, pass every exam. The 1 question underneath hasn't moved: is anything understood. He couldn't have imagined the machines. He built their hardest eval 62 years early. Watch him at the board. He never recites. He rebuilds the idea live in front of the room, which was exactly his point. No slides. No notes. 1 piece of chalk. Benchmarks measure knowing. Nobody has built one for the other thing. You're 62 years late. The clip is still free.

Richard Feynman stood at a blackboard in 1964 and drew the line between knowing and understanding. Every AI benchmark in 2026 sits on the wrong side of it. Almost nobody watches the clip. His father taught him the difference as a boy. You can know a bird's name in every language and know nothing about the bird. Names track labels. Understanding survives when the labels change. He carried that into physics. You can compute every answer and understand none of them. A student who memorizes the formula knows. A student who can rebuild it from nothing understands. Now run today's models through his test. They name everything, compute everything, pass every exam. The 1 question underneath hasn't moved: is anything understood. He couldn't have imagined the machines. He built their hardest eval 62 years early. Watch him at the board. He never recites. He rebuilds the idea live in front of the room, which was exactly his point. No slides. No notes. 1 piece of chalk. Benchmarks measure knowing. Nobody has built one for the other thing. You're 62 years late. The clip is still free.

Merlow

14,839 views • 7 days ago

Richard Feynman took live questions from a random Auckland audience in 1979 and answered the ones physicists still argue about in 2026. The camera kept rolling. Almost nobody watches it. This is the final lecture of the series, the one where the script ends. A Nobel laureate standing at a microphone, fielding whatever the room throws at him about the deepest open problems in physics. He won the 1965 Nobel Prize for the theory behind every answer he gives here. This is him off-book, no prepared blackboard, thinking out loud in front of ordinary people. Watch how he handles the questions he can't answer. He says so, flat out, then explains exactly where knowledge stops and guessing begins. No hedging. No performance. A quant researcher I know rewatched it twice and sent 1 timestamp to his entire team with the message: this is how you say I don't know. 47 years on YouTube. Fewer views than a mousepad review. Admitting ignorance was his edge. It still works.

Richard Feynman took live questions from a random Auckland audience in 1979 and answered the ones physicists still argue about in 2026. The camera kept rolling. Almost nobody watches it. This is the final lecture of the series, the one where the script ends. A Nobel laureate standing at a microphone, fielding whatever the room throws at him about the deepest open problems in physics. He won the 1965 Nobel Prize for the theory behind every answer he gives here. This is him off-book, no prepared blackboard, thinking out loud in front of ordinary people. Watch how he handles the questions he can't answer. He says so, flat out, then explains exactly where knowledge stops and guessing begins. No hedging. No performance. A quant researcher I know rewatched it twice and sent 1 timestamp to his entire team with the message: this is how you say I don't know. 47 years on YouTube. Fewer views than a mousepad review. Admitting ignorance was his edge. It still works.

xanax

59,536 views • 6 days ago

One of the men who invented the transistor stood at a Bell Labs blackboard and explained how it works. AT&T kept the film. Almost nobody watches it. Walter Brattain shared the 1956 Nobel Prize in physics for the transistor. Every chip training every model in 2026 descends from what he built with Bardeen and Shockley in 1947. This is 28 minutes of the inventor teaching semiconductor physics himself. Properties, simple model, history, impact, new phenomena, written on the board in his own hand. Watch the section where he draws the crystal lattice and shows what an electron and a hole actually do inside it. The abstraction most engineers carry around, drawn from scratch by the man who found it. An embedded engineer I know watched it twice and said 28 minutes of chalk beat a semester of textbook diagrams. Free on YouTube from the AT&T archives, 10 chapters, black and white. Everyone uses his invention. Almost nobody hears him explain it.

One of the men who invented the transistor stood at a Bell Labs blackboard and explained how it works. AT&T kept the film. Almost nobody watches it. Walter Brattain shared the 1956 Nobel Prize in physics for the transistor. Every chip training every model in 2026 descends from what he built with Bardeen and Shockley in 1947. This is 28 minutes of the inventor teaching semiconductor physics himself. Properties, simple model, history, impact, new phenomena, written on the board in his own hand. Watch the section where he draws the crystal lattice and shows what an electron and a hole actually do inside it. The abstraction most engineers carry around, drawn from scratch by the man who found it. An embedded engineer I know watched it twice and said 28 minutes of chalk beat a semester of textbook diagrams. Free on YouTube from the AT&T archives, 10 chapters, black and white. Everyone uses his invention. Almost nobody hears him explain it.

xanax

102,744 views • 4 days ago

An Indian institute filmed a professor teaching classical physics with no notes, no slides, and a green board. Almost nobody outside India watches it. This is Classical Physics, lecture 1, taught by V. Balakrishnan at IIT Madras, published free by NPTEL, India's national open courseware programme. Balakrishnan taught at IIT Madras for decades. Students who sat in that room describe the same thing: the whole subject held in his head, delivered in order, no paper on the podium. Lecture 1 is the introduction. What classical mechanics claims, where the claims hold, and the exact points where they stop holding and quantum takes over. Watch how he speaks. Complete sentences, no filler, each idea finished before the next begins. Rare in any lecture hall on any continent. A physicist I know worked through the whole NPTEL series and rates it above the western courses he paid for. Free on YouTube, 17 years online, low resolution, no marketing. The teaching was never concentrated in the famous universities.

An Indian institute filmed a professor teaching classical physics with no notes, no slides, and a green board. Almost nobody outside India watches it. This is Classical Physics, lecture 1, taught by V. Balakrishnan at IIT Madras, published free by NPTEL, India's national open courseware programme. Balakrishnan taught at IIT Madras for decades. Students who sat in that room describe the same thing: the whole subject held in his head, delivered in order, no paper on the podium. Lecture 1 is the introduction. What classical mechanics claims, where the claims hold, and the exact points where they stop holding and quantum takes over. Watch how he speaks. Complete sentences, no filler, each idea finished before the next begins. Rare in any lecture hall on any continent. A physicist I know worked through the whole NPTEL series and rates it above the western courses he paid for. Free on YouTube, 17 years online, low resolution, no marketing. The teaching was never concentrated in the famous universities.

xanax

3,214,870 views • 4 days ago

MIT filmed a calculus course in black and white decades ago and it still teaches better than most of what shipped this year. Almost nobody watches it. This is Calculus Revisited, Unit 1, Lecture 1, taught by Herb Gross. Analytic geometry from the ground up, chalk on a board, 1 camera locked in place. Gross built the course for adults returning to math after years away. No prerequisites assumed. Every idea earned in front of you instead of quoted from a textbook. The opening move is simple division written on the board. From there he shows why coordinates work at all, the thing most courses skip and every student silently fakes. Watch how slowly he goes. Each step spoken out loud, nothing left implicit, the pace of someone who expects you to actually follow. A backend engineer I know rewatched Unit 1 twice before touching linear algebra and said it fixed a gap he'd carried for 12 years. MIT put the whole course online free under Creative Commons. Production value aged badly. The teaching didn't.

MIT filmed a calculus course in black and white decades ago and it still teaches better than most of what shipped this year. Almost nobody watches it. This is Calculus Revisited, Unit 1, Lecture 1, taught by Herb Gross. Analytic geometry from the ground up, chalk on a board, 1 camera locked in place. Gross built the course for adults returning to math after years away. No prerequisites assumed. Every idea earned in front of you instead of quoted from a textbook. The opening move is simple division written on the board. From there he shows why coordinates work at all, the thing most courses skip and every student silently fakes. Watch how slowly he goes. Each step spoken out loud, nothing left implicit, the pace of someone who expects you to actually follow. A backend engineer I know rewatched Unit 1 twice before touching linear algebra and said it fixed a gap he'd carried for 12 years. MIT put the whole course online free under Creative Commons. Production value aged badly. The teaching didn't.

the lich

338,149 views • 5 days ago

A Fields Medalist walked into a UCLA hall and explained prime numbers to people with no mathematics background. Almost nobody watches it. Terence Tao won the Fields Medal, mathematics' highest honour, then a MacArthur Fellowship less than a month later. He was UCLA's first professor to take the Fields. The talk is structure and randomness in the primes. Numbers that look scattered at every scale, yet obey rules strict enough to build cryptography on. That tension is the same one running through every model trained in 2026. Randomness with structure underneath, and the whole question of where one stops and the other starts. Watch how he pitches it. General audience, no prerequisites, one of the strongest living mathematicians choosing clarity over display. A cryptography engineer I know rewatched the middle section twice and said the primes stopped looking arbitrary. Free on YouTube from UCLA, 17 years online. The hardest minds explain most simply. The pattern never changes.

A Fields Medalist walked into a UCLA hall and explained prime numbers to people with no mathematics background. Almost nobody watches it. Terence Tao won the Fields Medal, mathematics' highest honour, then a MacArthur Fellowship less than a month later. He was UCLA's first professor to take the Fields. The talk is structure and randomness in the primes. Numbers that look scattered at every scale, yet obey rules strict enough to build cryptography on. That tension is the same one running through every model trained in 2026. Randomness with structure underneath, and the whole question of where one stops and the other starts. Watch how he pitches it. General audience, no prerequisites, one of the strongest living mathematicians choosing clarity over display. A cryptography engineer I know rewatched the middle section twice and said the primes stopped looking arbitrary. Free on YouTube from UCLA, 17 years online. The hardest minds explain most simply. The pattern never changes.

the lich

48,855 views • 3 days ago

Richard Feynman, Nobel Prize-winning physicist: "You can know the name of every pattern in the market and understand nothing about why a single one works. I won a Nobel on that one distinction. it is the whole difference between an edge and a story you tell yourself." this free film is a Nobel laureate teaching you how to actually think, recorded by the BBC and free ever since. at the board it's simple. Feynman's obsession was the gap between naming a thing and understanding it. You can memorize the word for why a stock moved, "momentum", "mean reversion", and still know nothing about whether it will happen again. Real understanding means you can say why, from the mechanism up, and name what would break it. Everything else is a label pasted over ignorance. That's the whole "edge", minus the marketing. Feynman's rule was that the first principle is you must not fool yourself, and you are the easiest person to fool. Same point as my casino piece above: the market is a machine for handing you convincing stories, and the only defense is refusing to believe one you cannot explain. the film is free and anyone can watch it tonight. what nobody can give you is the discipline to admit "I named it but I don't understand it" before you put money on it. That honesty is the edge, and it is the rarest thing there is.

Richard Feynman, Nobel Prize-winning physicist: "You can know the name of every pattern in the market and understand nothing about why a single one works. I won a Nobel on that one distinction. it is the whole difference between an edge and a story you tell yourself." this free film is a Nobel laureate teaching you how to actually think, recorded by the BBC and free ever since. at the board it's simple. Feynman's obsession was the gap between naming a thing and understanding it. You can memorize the word for why a stock moved, "momentum", "mean reversion", and still know nothing about whether it will happen again. Real understanding means you can say why, from the mechanism up, and name what would break it. Everything else is a label pasted over ignorance. That's the whole "edge", minus the marketing. Feynman's rule was that the first principle is you must not fool yourself, and you are the easiest person to fool. Same point as my casino piece above: the market is a machine for handing you convincing stories, and the only defense is refusing to believe one you cannot explain. the film is free and anyone can watch it tonight. what nobody can give you is the discipline to admit "I named it but I don't understand it" before you put money on it. That honesty is the edge, and it is the rarest thing there is.

Rossst.03

19,337 views • 7 days ago

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓

slash1s

22,107 views • 1 month ago

MIT filmed the single hour that makes all of calculus one subject instead of two. Free, uncut, chalk only. Almost nobody watches it. This is 18.01, Single Variable Calculus, lecture 19, taught by David Jerison. The First Fundamental Theorem of Calculus. Slopes and areas were separate problems for centuries. Different tools, different people, different questions. This lecture shows they were the same thing pointed in opposite directions. Every gradient computed in every training run rides on that connection. Most engineers use it daily and have never seen the proof that makes it legal. Watch the board work in the middle. He builds the link line by line, real students in the room, no software, no animation. A machine learning engineer I know rewatched it before an interview and said the chain from loss to update finally read as 1 object instead of 3 tricks. Full course free on YouTube under Creative Commons. You've been using the theorem. You've never seen it earned.

MIT filmed the single hour that makes all of calculus one subject instead of two. Free, uncut, chalk only. Almost nobody watches it. This is 18.01, Single Variable Calculus, lecture 19, taught by David Jerison. The First Fundamental Theorem of Calculus. Slopes and areas were separate problems for centuries. Different tools, different people, different questions. This lecture shows they were the same thing pointed in opposite directions. Every gradient computed in every training run rides on that connection. Most engineers use it daily and have never seen the proof that makes it legal. Watch the board work in the middle. He builds the link line by line, real students in the room, no software, no animation. A machine learning engineer I know rewatched it before an interview and said the chain from loss to update finally read as 1 object instead of 3 tricks. Full course free on YouTube under Creative Commons. You've been using the theorem. You've never seen it earned.

obssnnn

121,662 views • 4 days ago

A Bell Labs veteran gave a 45-minute lecture in 1995 on 1 question every ML engineer skips: why does mathematics work at all. Almost nobody watches it. The man is Richard Hamming. He wrote the error-correcting code that keeps every hard drive, modem, satellite link, and QR scan from collapsing into noise. His question sounds like nothing. Why do symbols on a board predict planets they were never built for. Why did complex numbers, invented as pure abstraction, turn out to run all of electrical engineering. Why does a matrix eigenvalue decide whether a bridge stands. He calls it "the unreasonable effectiveness of mathematics." Newton wrote 1 equation and it held for the Moon, the tides, and a falling apple at once. Nobody ordered the universe to obey algebra. Watch the middle. He argues we find math everywhere partly because our brains evolved to see it, then admits that answer leaves most of the mystery standing. No slides. 1 old man, 1 chalkboard, 45 minutes. You train models on linear algebra every day. He spent a career asking why it works.

A Bell Labs veteran gave a 45-minute lecture in 1995 on 1 question every ML engineer skips: why does mathematics work at all. Almost nobody watches it. The man is Richard Hamming. He wrote the error-correcting code that keeps every hard drive, modem, satellite link, and QR scan from collapsing into noise. His question sounds like nothing. Why do symbols on a board predict planets they were never built for. Why did complex numbers, invented as pure abstraction, turn out to run all of electrical engineering. Why does a matrix eigenvalue decide whether a bridge stands. He calls it "the unreasonable effectiveness of mathematics." Newton wrote 1 equation and it held for the Moon, the tides, and a falling apple at once. Nobody ordered the universe to obey algebra. Watch the middle. He argues we find math everywhere partly because our brains evolved to see it, then admits that answer leaves most of the mystery standing. No slides. 1 old man, 1 chalkboard, 45 minutes. You train models on linear algebra every day. He spent a career asking why it works.

the lich

146,724 views • 8 days ago

The most influential mathematician of his generation stands in a German lecture hall and explains a foundation he is rebuilding from scratch. Almost nobody watches it. This is Peter Scholze at Bielefeld University, November 2025, opening lecture of a new public series called Ars Mathematica. Scholze became a full professor at 24 and won the Fields Medal at 30. His work on perfectoid spaces reorganized entire areas of arithmetic geometry inside a decade. Condensed mathematics is his attempt to fix something deeper: the way analysis and algebra refuse to sit together properly. He is proposing new foundations for how mathematical objects carry topology. Watch how he pitches it to a general audience. No prerequisites assumed, no dilution, a working mathematician showing why abstraction opens rooms you could not otherwise enter. A researcher I know rewatched the middle section twice and said it was the first time condensed mathematics felt like an idea rather than a rumour. Free on YouTube from a university channel, subtitles on. Some people prove theorems. He is replacing the floor.

The most influential mathematician of his generation stands in a German lecture hall and explains a foundation he is rebuilding from scratch. Almost nobody watches it. This is Peter Scholze at Bielefeld University, November 2025, opening lecture of a new public series called Ars Mathematica. Scholze became a full professor at 24 and won the Fields Medal at 30. His work on perfectoid spaces reorganized entire areas of arithmetic geometry inside a decade. Condensed mathematics is his attempt to fix something deeper: the way analysis and algebra refuse to sit together properly. He is proposing new foundations for how mathematical objects carry topology. Watch how he pitches it to a general audience. No prerequisites assumed, no dilution, a working mathematician showing why abstraction opens rooms you could not otherwise enter. A researcher I know rewatched the middle section twice and said it was the first time condensed mathematics felt like an idea rather than a rumour. Free on YouTube from a university channel, subtitles on. Some people prove theorems. He is replacing the floor.

the lich

249,333 views • 22 hours ago

Robert Shiller called the dot-com bubble in 2000 - the market collapsed months later then he called the housing bubble years before 2008, while everyone laughed he won the Nobel Prize for explaining why markets aren't rational and he put his entire Yale course on financial markets online, for free lecture one breaks down how risk, banking and bubbles actually work "irrational exuberance is the psychological basis of a speculative bubble" full Yale lecture. free. bookmark and watch it today

Robert Shiller called the dot-com bubble in 2000 - the market collapsed months later then he called the housing bubble years before 2008, while everyone laughed he won the Nobel Prize for explaining why markets aren't rational and he put his entire Yale course on financial markets online, for free lecture one breaks down how risk, banking and bubbles actually work "irrational exuberance is the psychological basis of a speculative bubble" full Yale lecture. free. bookmark and watch it today

st1ne

46,017 views • 1 month ago

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

269,381 views • 25 days ago

A billionaire trader has spent 40 years trying to delete a one-hour documentary. It shows him making $100 million in a single afternoon. He predicted the crash that made it possible three months in advance. He has never explained why he wants the film gone. His name is Paul Tudor Jones. The film is on YouTube. The documentary is called "Trader." PBS filmed it in 1987, three months before Black Monday. Jones was 32 years old, working from a small New York office, wearing shorts and a t-shirt, yelling at his phones, throwing paper across the room, and sleeping under his desk. The film captures him and his research partner Peter Borish overlaying a chart of the 1929 market on 1987, month by month. The two charts tracked within one percent. Borish said this is exactly what happened in 1929. Jones said if the analog holds, October is when it breaks. On October 19, 1987, the Dow fell 22.6 percent in a single day. It remains the largest one-day percentage loss in stock market history. That afternoon, Tudor Jones covered his shorts and made roughly $100 million. He was 33 years old. He was one of the very few traders on the street who came out ahead. He tried to bury the tape because it made him look reckless in a professional world that punished swagger. Twenty years of legal effort did not delete it. Someone kept a copy. It is on YouTube. It has fewer views than most makeup tutorials. The film is not really about a crash. It is about a specific philosophy of trading. Jones is shown building conviction slowly, sizing carefully, then striking hard when the setup arrives. He is never once shown making a random bet. He is shown doing the same thing five times a day, every day, for three months. His signature line, repeated across a 45-year career: "The most important rule of trading is to play great defense, not great offense." He does not try to be right. He tries not to lose. He sets stops tight, cuts positions fast, and never averages down on a loser. Every trade in the film follows this template. Tudor Investment Corp, the fund he founded in 1980, has compounded at roughly 19 percent a year for 45 years. He is 71 years old and still trading. His method has not changed since the film. The lesson: greatness in markets is a refusal, not a talent. Refusal to be reckless. Refusal to be certain. Refusal to average down. Refusal to trust yourself in a drawdown. Tudor Jones has refused those refusals for 45 years. The tape is free. The philosophy is repeated in every trade. Most traders will never watch it.

A billionaire trader has spent 40 years trying to delete a one-hour documentary. It shows him making $100 million in a single afternoon. He predicted the crash that made it possible three months in advance. He has never explained why he wants the film gone. His name is Paul Tudor Jones. The film is on YouTube. The documentary is called "Trader." PBS filmed it in 1987, three months before Black Monday. Jones was 32 years old, working from a small New York office, wearing shorts and a t-shirt, yelling at his phones, throwing paper across the room, and sleeping under his desk. The film captures him and his research partner Peter Borish overlaying a chart of the 1929 market on 1987, month by month. The two charts tracked within one percent. Borish said this is exactly what happened in 1929. Jones said if the analog holds, October is when it breaks. On October 19, 1987, the Dow fell 22.6 percent in a single day. It remains the largest one-day percentage loss in stock market history. That afternoon, Tudor Jones covered his shorts and made roughly $100 million. He was 33 years old. He was one of the very few traders on the street who came out ahead. He tried to bury the tape because it made him look reckless in a professional world that punished swagger. Twenty years of legal effort did not delete it. Someone kept a copy. It is on YouTube. It has fewer views than most makeup tutorials. The film is not really about a crash. It is about a specific philosophy of trading. Jones is shown building conviction slowly, sizing carefully, then striking hard when the setup arrives. He is never once shown making a random bet. He is shown doing the same thing five times a day, every day, for three months. His signature line, repeated across a 45-year career: "The most important rule of trading is to play great defense, not great offense." He does not try to be right. He tries not to lose. He sets stops tight, cuts positions fast, and never averages down on a loser. Every trade in the film follows this template. Tudor Investment Corp, the fund he founded in 1980, has compounded at roughly 19 percent a year for 45 years. He is 71 years old and still trading. His method has not changed since the film. The lesson: greatness in markets is a refusal, not a talent. Refusal to be reckless. Refusal to be certain. Refusal to average down. Refusal to trust yourself in a drawdown. Tudor Jones has refused those refusals for 45 years. The tape is free. The philosophy is repeated in every trade. Most traders will never watch it.

Veles

3,585,384 views • 12 days ago

Daniel Kahneman, the Nobel laureate who measured Wall Street's "skill" and found luck: "I once studied eight years of a wealth firm's trades. the correlation between a trader's good years was basically zero. they were paid millions for luck, and every one of them believed it was skill. that belief is the casino's favorite product." this free lecture holds the entire "proven track record" the gurus sell, from the Nobel laureate who checked the records and found luck. at the board it's simple. Kahneman took eight years of a firm's trading results and asked whether the good traders stayed good. the year-to-year correlation was almost zero, so last year's star was no more likely to win this year than anyone else. their skill was a story painted over a coin flip. the casino runs on the same illusion, it just lets you keep believing it until the money is gone. that's the whole "track record", minus the marketing. Kahneman published this and won the Nobel in 2002. it has been free ever since. same point as my casino piece above: a hot streak is not skill, and the house profits from everyone who cannot tell the difference. the study is free and anyone can read it. what nobody can sell you is the humility to treat your own winning streak as luck until years of evidence say otherwise. that humility is the whole edge, and no lecture can hand it to you.

Daniel Kahneman, the Nobel laureate who measured Wall Street's "skill" and found luck: "I once studied eight years of a wealth firm's trades. the correlation between a trader's good years was basically zero. they were paid millions for luck, and every one of them believed it was skill. that belief is the casino's favorite product." this free lecture holds the entire "proven track record" the gurus sell, from the Nobel laureate who checked the records and found luck. at the board it's simple. Kahneman took eight years of a firm's trading results and asked whether the good traders stayed good. the year-to-year correlation was almost zero, so last year's star was no more likely to win this year than anyone else. their skill was a story painted over a coin flip. the casino runs on the same illusion, it just lets you keep believing it until the money is gone. that's the whole "track record", minus the marketing. Kahneman published this and won the Nobel in 2002. it has been free ever since. same point as my casino piece above: a hot streak is not skill, and the house profits from everyone who cannot tell the difference. the study is free and anyone can read it. what nobody can sell you is the humility to treat your own winning streak as luck until years of evidence say otherwise. that humility is the whole edge, and no lecture can hand it to you.

Rossst.03

40,594 views • 11 days ago

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 views • 11 days ago

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

43,022 views • 15 days ago

The billionaire founder of Aviator reveals how he built the world's biggest crash game in just six years "We came into the business six years ago. We knew nothing about the industry. Imagine, nothing. Now we're the No. 1 company in the world. No. 1. Imagine that. We did it in six years, and I knew nothing. I was Googling words to understand what a platform was and what an aggregator was." "The funny part is, the crash game existed before. We didn't invent it, but we made it popular."

The billionaire founder of Aviator reveals how he built the world's biggest crash game in just six years "We came into the business six years ago. We knew nothing about the industry. Imagine, nothing. Now we're the No. 1 company in the world. No. 1. Imagine that. We did it in six years, and I knew nothing. I was Googling words to understand what a platform was and what an aggregator was." "The funny part is, the crash game existed before. We didn't invent it, but we made it popular."

Mikli

116,460 views • 1 month ago

Demis Hassabis confirmed every frontier AI lab is working on recursive self-improvement and in the same sentence said the safety risk of removing humans from the loop entirely keeps him up at night. That combination should stop you. The CEO of Google DeepMind just confirmed that the thing most people treat as a theoretical future risk is already the active focus of every serious lab on earth right now. He explained why it works in coding and math. The feedback loop is fast. You can verify whether an answer is correct almost instantly. You can generate synthetic training data from it. The loop closes quickly and cleanly. Then he said where it breaks down. In biology, chemistry and physics. Any domain where verifying a hypothesis requires a physical experiment in the real world. The loop does not close in seconds. It closes in weeks or months. Geoffrey Hinton said in his Nobel lecture that recursive self-improvement is the development he fears most and that once started it may not be possible to stop. Hassabis is not pushing back on that. He is describing the guardrails labs are building around a process they are already running. Every lab has to think carefully about the safety of a process where no human is in the loop. He said that as a constraint they are navigating right now. The question they are sitting with is how much of it to let run without a human watching. (Watch the full interview on YouTube at Two Minute Papers channel)

Demis Hassabis confirmed every frontier AI lab is working on recursive self-improvement and in the same sentence said the safety risk of removing humans from the loop entirely keeps him up at night. That combination should stop you. The CEO of Google DeepMind just confirmed that the thing most people treat as a theoretical future risk is already the active focus of every serious lab on earth right now. He explained why it works in coding and math. The feedback loop is fast. You can verify whether an answer is correct almost instantly. You can generate synthetic training data from it. The loop closes quickly and cleanly. Then he said where it breaks down. In biology, chemistry and physics. Any domain where verifying a hypothesis requires a physical experiment in the real world. The loop does not close in seconds. It closes in weeks or months. Geoffrey Hinton said in his Nobel lecture that recursive self-improvement is the development he fears most and that once started it may not be possible to stop. Hassabis is not pushing back on that. He is describing the guardrails labs are building around a process they are already running. Every lab has to think carefully about the safety of a process where no human is in the loop. He said that as a constraint they are navigating right now. The question they are sitting with is how much of it to let run without a human watching. (Watch the full interview on YouTube at Two Minute Papers channel)

Ihtesham Ali

68,001 views • 1 month ago

Bryan Johnson takes 3 shots of olive oil every single day. One with every meal. He calls it the superfood of superfoods. He consumes it as part of his daily life: • 15 ml per shot • 45 ml total per day • 15% of daily calories from olive oil His team studied the best foods and therapies for health. Olive oil was one of the few of them. He drinks it straight before he eats. His olive oil is sourced from both hemispheres so it's always fresh, and every batch is third-party tested before it reaches him. Johnson is spending $1 million a year on his health. The cheapest thing he does is also one of the most effective. If the guy with the most aggressive longevity protocol on the planet starts every meal with a shot of olive oil, the cost of trying it is almost nothing. — Bryan Johnson (Bryan Johnson) on the TPBN (TBPN) podcast

Bryan Johnson takes 3 shots of olive oil every single day. One with every meal. He calls it the superfood of superfoods. He consumes it as part of his daily life: • 15 ml per shot • 45 ml total per day • 15% of daily calories from olive oil His team studied the best foods and therapies for health. Olive oil was one of the few of them. He drinks it straight before he eats. His olive oil is sourced from both hemispheres so it's always fresh, and every batch is third-party tested before it reaches him. Johnson is spending $1 million a year on his health. The cheapest thing he does is also one of the most effective. If the guy with the most aggressive longevity protocol on the planet starts every meal with a shot of olive oil, the cost of trying it is almost nothing. — Bryan Johnson (Bryan Johnson) on the TPBN (TBPN) podcast

Goku

1,236,826 views • 2 months ago