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MIT put its full quantum physics course online for free and the opening lecture starts with a box you can't look inside. Almost nobody finishes it. This is 8.04, Quantum Physics I, taught by Allan Adams on the MIT campus. Same room, same problem sets, same professor the tuition... pays for. He skips the history and the philosophy. He builds a simple apparatus, sends things through it, and shows the result no classical picture can survive. Skip the first 10 minutes, that part is course admin. What follows is thought experiment stacked on thought experiment until superposition stops being a word and becomes the only explanation left. Every engineer arguing about quantum computing in 2026 is arguing about what happens in this hour. A systems engineer I know watched it twice with a notebook and called it the clearest teaching he'd seen since university. MIT charges $60,000 a year. This lecture costs nothing. The gate was never locked. Almost nobody walks through.show more

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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

3,240,313 Aufrufe • vor 10 Tagen

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 Aufrufe • vor 1 Monat

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 Aufrufe • vor 18 Tagen

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 Aufrufe • vor 9 Tagen

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

341,177 Aufrufe • vor 12 Tagen

MIT put its full multivariable calculus course online in 2007 and charged nobody a dollar for it. Lecture 34 is the final review. A professor in an orange sweater writes Unit 1 on a chalkboard and starts working through the whole semester. The camera never moves much. No editing, no music, no production budget visible anywhere. MIT OpenCourseWare launched in 2001 with 50 courses. The plan was to publish materials from every course the university taught. Faculty were told they would get no royalties and no extra pay. Most agreed anyway. The catalog passed 2,400 courses. Downloads run past 300,000,000 and the site draws millions of visitors a year from countries with no equivalent institution. Universities charging 60,000 dollars a year watched a peer give the lectures away and kept charging. The thing people pay for was never the lecture.

MIT put its full multivariable calculus course online in 2007 and charged nobody a dollar for it. Lecture 34 is the final review. A professor in an orange sweater writes Unit 1 on a chalkboard and starts working through the whole semester. The camera never moves much. No editing, no music, no production budget visible anywhere. MIT OpenCourseWare launched in 2001 with 50 courses. The plan was to publish materials from every course the university taught. Faculty were told they would get no royalties and no extra pay. Most agreed anyway. The catalog passed 2,400 courses. Downloads run past 300,000,000 and the site draws millions of visitors a year from countries with no equivalent institution. Universities charging 60,000 dollars a year watched a peer give the lectures away and kept charging. The thing people pay for was never the lecture.

Mark Poiler

1,867,988 Aufrufe • vor 13 Tagen

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

1,065,747 Aufrufe • vor 9 Tagen

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

123,196 Aufrufe • vor 11 Tagen

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

103,808 Aufrufe • vor 11 Tagen

A PHYSICS PROFESSOR GAVE THE SAME LECTURE 1,742 TIMES TO WARN ABOUT ONE IDEA QUIETLY BREAKING THE HUMAN RACE. IT IS THE WORD EVERY AI LAB THROWS AROUND TODAY AND ALMOST NONE OF THEM ACTUALLY UNDERSTAND IT. 72 minutes from Albert Bartlett, a University of Colorado physicist, on the one piece of math he called humanity's greatest blind spot. -> The idea that lands: a small steady percentage is never small. 7% a year sounds calm, but it doubles in a decade, doubles again in the next, and quietly runs away from you. He shows it with bacteria in a bottle, with money, with whole cities -- the same curve that looks flat for ages and then explodes almost overnight. Everyone calls that curve "Exponential". He proves most people hear it as "Fast" when it actually means something far more violent. Right now every lab and every headline calls AI exponential. This is the talk that shows you what the word truly does -- so you see both the hype and the real danger the way the math demands. You thought it was a boring math word. It was the whole story the entire time. Save this one. You'll never hear "Exponential" the same way ↓

A PHYSICS PROFESSOR GAVE THE SAME LECTURE 1,742 TIMES TO WARN ABOUT ONE IDEA QUIETLY BREAKING THE HUMAN RACE. IT IS THE WORD EVERY AI LAB THROWS AROUND TODAY AND ALMOST NONE OF THEM ACTUALLY UNDERSTAND IT. 72 minutes from Albert Bartlett, a University of Colorado physicist, on the one piece of math he called humanity's greatest blind spot. -> The idea that lands: a small steady percentage is never small. 7% a year sounds calm, but it doubles in a decade, doubles again in the next, and quietly runs away from you. He shows it with bacteria in a bottle, with money, with whole cities -- the same curve that looks flat for ages and then explodes almost overnight. Everyone calls that curve "Exponential". He proves most people hear it as "Fast" when it actually means something far more violent. Right now every lab and every headline calls AI exponential. This is the talk that shows you what the word truly does -- so you see both the hype and the real danger the way the math demands. You thought it was a boring math word. It was the whole story the entire time. Save this one. You'll never hear "Exponential" the same way ↓

slash1s

99,512 Aufrufe • vor 1 Monat

An MIT professor solved the equation Wall Street pays $500K for, in a lecture about how to find the top of a hill. MIT put the whole thing online. it has been free for years. almost nobody finishes it. his point: finding the best possible answer to almost anything is one move. write down what you want to grow, take the derivative, and find the exact spot where it stops climbing. that spot is the answer. he is Denis Auroux, and his 18.02 lectures have taught more people calculus than most universities have students. now the equation from the post above, the one that tells you exactly how much to bet. it is not a secret formula. it is this. the growth of your money is a curve. bet too little and you are low on the hill. bet too much and you have gone over the top and started falling. Kelly's number is just the peak. no magic. no fund. one hill, and the single point where it stops going up. a quant I know rewatches this exact lecture before he sizes a single position. you were handed the formula and told to trust it. Auroux shows you where it actually comes from, for free, and it has been sitting there the whole time.

An MIT professor solved the equation Wall Street pays $500K for, in a lecture about how to find the top of a hill. MIT put the whole thing online. it has been free for years. almost nobody finishes it. his point: finding the best possible answer to almost anything is one move. write down what you want to grow, take the derivative, and find the exact spot where it stops climbing. that spot is the answer. he is Denis Auroux, and his 18.02 lectures have taught more people calculus than most universities have students. now the equation from the post above, the one that tells you exactly how much to bet. it is not a secret formula. it is this. the growth of your money is a curve. bet too little and you are low on the hill. bet too much and you have gone over the top and started falling. Kelly's number is just the peak. no magic. no fund. one hill, and the single point where it stops going up. a quant I know rewatches this exact lecture before he sizes a single position. you were handed the formula and told to trust it. Auroux shows you where it actually comes from, for free, and it has been sitting there the whole time.

Loran

92,685 Aufrufe • vor 7 Tagen

String Theory is one of the few frameworks that tries to describe Quantum Physics and Gravity in the same mathematical language. In this animation, the glowing loop is the string, the shifting color along it represent its quantum vibration modes, and the surrounding fabric is a proxy for Spacetime responding. When you quantize a string, one of its vibration modes behaves like a graviton. So, geometry shows up as part of the same quantum system. #StringTheory #QuantumGravity #GeneralRelativity #QuantumPhysics #TheoreticalPhysics #PhysicsVisualization

String Theory is one of the few frameworks that tries to describe Quantum Physics and Gravity in the same mathematical language. In this animation, the glowing loop is the string, the shifting color along it represent its quantum vibration modes, and the surrounding fabric is a proxy for Spacetime responding. When you quantize a string, one of its vibration modes behaves like a graviton. So, geometry shows up as part of the same quantum system. #StringTheory #QuantumGravity #GeneralRelativity #QuantumPhysics #TheoreticalPhysics #PhysicsVisualization

Mathelirium

42,145 Aufrufe • vor 5 Monaten

David MacKay, Cambridge professor: "Citadel and Jane Street pay $900K for people who get one idea I taught free at Cambridge: information is measurable, and whoever measures it best wins. the casino knew it first. the machines know it now." this free lecture holds the entire "secret alpha" the funds and the AI gurus sell, and the man teaching it put his whole course and his whole book online for free and never locked a single page. at the board it's simple. information is just how much a signal cuts your uncertainty, and you can measure it in exact bits. the more an edge shrinks what you don't know, the more it is worth, and Shannon proved there is a hard ceiling on how fast you can compound it into money. that is the whole "edge", and the whole "AI magic", minus the marketing. MacKay taught it at Cambridge and gave the book away free in 2003. it has been free ever since. same point as the casino piece above: the house wins with a small, measurable edge, repeated and sized right, not with a secret. the theory is free and every fund and every model already runs on it. what they cannot sell you is the data to feed the machine and the discipline to size the bet. that is the part that actually compounds, and no course can put it in a formula.

David MacKay, Cambridge professor: "Citadel and Jane Street pay $900K for people who get one idea I taught free at Cambridge: information is measurable, and whoever measures it best wins. the casino knew it first. the machines know it now." this free lecture holds the entire "secret alpha" the funds and the AI gurus sell, and the man teaching it put his whole course and his whole book online for free and never locked a single page. at the board it's simple. information is just how much a signal cuts your uncertainty, and you can measure it in exact bits. the more an edge shrinks what you don't know, the more it is worth, and Shannon proved there is a hard ceiling on how fast you can compound it into money. that is the whole "edge", and the whole "AI magic", minus the marketing. MacKay taught it at Cambridge and gave the book away free in 2003. it has been free ever since. same point as the casino piece above: the house wins with a small, measurable edge, repeated and sized right, not with a secret. the theory is free and every fund and every model already runs on it. what they cannot sell you is the data to feed the machine and the discipline to size the bet. that is the part that actually compounds, and no course can put it in a formula.

Rossst.03

24,939 Aufrufe • vor 20 Tagen

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

47,161 Aufrufe • vor 9 Tagen

Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.

Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.

Rossst.03

214,907 Aufrufe • vor 1 Monat

An MIT professor spent his entire career studying uncertainty. Before he passed, he condensed everything into a single one-hour lecture. No jargon. No fluff. Just a simple explanation of how prediction really works. Soon after, he was gone. This is that lecture. The core idea is powerful: Prediction isn’t about being right— it’s about understanding probabilities. Most will scroll past. A few will see it and never think the same way again. Save this.

An MIT professor spent his entire career studying uncertainty. Before he passed, he condensed everything into a single one-hour lecture. No jargon. No fluff. Just a simple explanation of how prediction really works. Soon after, he was gone. This is that lecture. The core idea is powerful: Prediction isn’t about being right— it’s about understanding probabilities. Most will scroll past. A few will see it and never think the same way again. Save this.

Jay

41,744 Aufrufe • vor 3 Monaten

$Why quantum theory could have a fractal structure: explained in 83 minutes. The notion of true quantum nonlocality is absurd. In the latest episode of the Quantum Foundations Podcast, Prof Tim Palmer from the University of Oxford suggests that there is a hidden assumption in standard quantum mechanics, and dropping it will save us from this absurdity. Namely, the reality of counterfactuals: the physics of what could have happened but did not. Inspired by chaos theory and the fractal structure widespread in atmospheric physics, Palmer has developed a new underlying structure for quantum theory, with radical implications for our fundamental principles of quantum physics; the limits of quantum computation; and perhaps even the search for quantum gravity. Watch on my YouTube channel, or listen on Spotify and Apple Podcasts!$

Why quantum theory could have a fractal structure: explained in 83 minutes. The notion of true quantum nonlocality is absurd. In the latest episode of the Quantum Foundations Podcast, Prof Tim Palmer from the University of Oxford suggests that there is a hidden assumption in standard quantum mechanics, and dropping it will save us from this absurdity. Namely, the reality of counterfactuals: the physics of what could have happened but did not. Inspired by chaos theory and the fractal structure widespread in atmospheric physics, Palmer has developed a new underlying structure for quantum theory, with radical implications for our fundamental principles of quantum physics; the limits of quantum computation; and perhaps even the search for quantum gravity. Watch on my YouTube channel, or listen on Spotify and Apple Podcasts!

Dr Maria Violaris

18,259 Aufrufe • vor 6 Monaten

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

361,074 Aufrufe • vor 1 Monat

A Stanford physicist walked into a lecture hall in gym shorts, with no notes, and spent 70 minutes explaining what happens inside a black hole. He is the man who spent 20 years arguing with Stephen Hawking about this exact question, and who eventually won. The man is Leonard Susskind, one of the founders of string theory. And the way he does it is what makes the video worth it. The argument that started it was simple enough to state at a dinner table. Hawking said that when something falls into a black hole, the information about it is destroyed forever. Susskind said the universe cannot forget. If it can, physics itself stops working. That disagreement ran for two decades. Hawking eventually conceded. The part that stays with you is what Susskind says happens to you at the edge. From your own point of view, you cross it and notice nothing unusual. From someone watching outside, you never cross at all. You slow, stretch, and burn at the boundary. Both descriptions are correct. Neither one is a trick. He explains why with no equations and almost no props, from memory, in front of a room where somebody in the front row is eating a sandwich. The comments spend more time on the shorts than the physics, which is its own kind of proof of confidence. Nothing that falls in is gone. The universe keeps a copy of everything, including you. 70 minutes. It is in the video.

A Stanford physicist walked into a lecture hall in gym shorts, with no notes, and spent 70 minutes explaining what happens inside a black hole. He is the man who spent 20 years arguing with Stephen Hawking about this exact question, and who eventually won. The man is Leonard Susskind, one of the founders of string theory. And the way he does it is what makes the video worth it. The argument that started it was simple enough to state at a dinner table. Hawking said that when something falls into a black hole, the information about it is destroyed forever. Susskind said the universe cannot forget. If it can, physics itself stops working. That disagreement ran for two decades. Hawking eventually conceded. The part that stays with you is what Susskind says happens to you at the edge. From your own point of view, you cross it and notice nothing unusual. From someone watching outside, you never cross at all. You slow, stretch, and burn at the boundary. Both descriptions are correct. Neither one is a trick. He explains why with no equations and almost no props, from memory, in front of a room where somebody in the front row is eating a sandwich. The comments spend more time on the shorts than the physics, which is its own kind of proof of confidence. Nothing that falls in is gone. The universe keeps a copy of everything, including you. 70 minutes. It is in the video.

Stefan.

86,590 Aufrufe • vor 2 Tagen

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.

Rossst.03

229,785 Aufrufe • vor 1 Monat