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Every trader who is down believes a bigger account will win it back. There is a proof at MIT that account size changes nothing. Tom Leighton teaches math at MIT. He also founded Akamai. "it is almost certain you will go broke, no matter how much money you bring."...

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Di Krass

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48,321 views • 22 days ago •via X (Twitter)

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Every option trader believes he is forecasting a price. He is not. He is trading the market's probability distribution, priced before he arrived. Stephen Blyth ran Harvard's $37 billion endowment. His MIT lecture. "option prices, they're just probability distributions." line up the call prices across every strike, take the second difference, and out falls the exact probability curve the market is using. the prices ARE the distribution. you never had a view on where the stock lands. you bought a shape someone else already drew, priced to the cent. MIT filmed it and left it up for free. 69 minutes. Years online, and almost nobody has ever used a line of it. the edge was never predicting the price. it is reading the odds already inside it. watch it, and don't forget this.
1:08:50

Every option trader believes he is forecasting a price. He is not. He is trading the market's probability distribution, priced before he arrived. Stephen Blyth ran Harvard's $37 billion endowment. His MIT lecture. "option prices, they're just probability distributions." line up the call prices across every strike, take the second difference, and out falls the exact probability curve the market is using. the prices ARE the distribution. you never had a view on where the stock lands. you bought a shape someone else already drew, priced to the cent. MIT filmed it and left it up for free. 69 minutes. Years online, and almost nobody has ever used a line of it. the edge was never predicting the price. it is reading the odds already inside it. watch it, and don't forget this.

Di Krass

117,688 views • 23 days ago

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.
38:17

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

95,491 views • 1 month ago

YuanYuan Xu, one of the sharpest young Chinese mathematicians working in probability: "PDT Partners pays a math PhD $500,000 a year for one skill: proving when a winning streak is real edge and when it is just luck. that proof is the exact thing this mathematician writes on a chalkboard, and it costs nothing" this free lecture is the math that tells you whether your edge is real or you are fooling yourself. strip away the P&L screenshots and one question decides everything. after N bets, how far can your results drift from your true win rate by pure chance. there is a precise answer. it is called a concentration inequality, and it puts a hard bound on how much luck can flatter you or wreck you over a run. it is why 10 wins prove nothing and 10,000 prove almost everything. Xu builds it from zero, on a chalkboard in Brazil, in notation a beginner can follow. a Chinese mathematician handing out the exact tool funds use to tell skill from noise. Wall Street rents this out as a $500,000 edge. a mathematician at a chalkboard hands you the proof in English for free.
1:26:25

YuanYuan Xu, one of the sharpest young Chinese mathematicians working in probability: "PDT Partners pays a math PhD $500,000 a year for one skill: proving when a winning streak is real edge and when it is just luck. that proof is the exact thing this mathematician writes on a chalkboard, and it costs nothing" this free lecture is the math that tells you whether your edge is real or you are fooling yourself. strip away the P&L screenshots and one question decides everything. after N bets, how far can your results drift from your true win rate by pure chance. there is a precise answer. it is called a concentration inequality, and it puts a hard bound on how much luck can flatter you or wreck you over a run. it is why 10 wins prove nothing and 10,000 prove almost everything. Xu builds it from zero, on a chalkboard in Brazil, in notation a beginner can follow. a Chinese mathematician handing out the exact tool funds use to tell skill from noise. Wall Street rents this out as a $500,000 edge. a mathematician at a chalkboard hands you the proof in English for free.

Rossst.03

15,592 views • 11 days ago

Anybody can get a pump. I can get one in my living room in four minutes with no equipment whatsoever. Twenty press-ups. A band I found in a drawer. Fifty bodyweight squats. Waving my arms about for ninety seconds. A set of thirty on anything, nowhere near failure, rested short enough to keep the blood where I put it. None of that is hard. None of that is a decision. The pump arrives whether you meant it or not, which is precisely why it cannot be evidence of anything. And it lives in the eight to twelve range, because that is where the weight is never frightening. You can chase a sensation all afternoon in there. Nothing you pick up is ever going to look back at you. Now go and get under something that might beat you. There is no hiding on a heavy set of five. You cannot half-do it. You cannot drift through it thinking about your afternoon. The weight either moves or it sits there in front of everybody. That is why eight to twelve has survived fifty years of scrutiny it never earned. It is the widest band of weight you can lift while remaining completely unaccountable. Heavy enough to feel like effort. Light enough that nothing is ever on the line. A rep range you can occupy for a decade without once finding out what you are capable of, and leave every session swollen, sweating and entirely convinced. Heavy training keeps a record. That is the objection to it, and nobody will ever say so out loud. Take a set of five to within a rep of failure and you will find out exactly what you are worth, in kilos, before you leave the building. Most people would rather not.
0:20

Anybody can get a pump. I can get one in my living room in four minutes with no equipment whatsoever. Twenty press-ups. A band I found in a drawer. Fifty bodyweight squats. Waving my arms about for ninety seconds. A set of thirty on anything, nowhere near failure, rested short enough to keep the blood where I put it. None of that is hard. None of that is a decision. The pump arrives whether you meant it or not, which is precisely why it cannot be evidence of anything. And it lives in the eight to twelve range, because that is where the weight is never frightening. You can chase a sensation all afternoon in there. Nothing you pick up is ever going to look back at you. Now go and get under something that might beat you. There is no hiding on a heavy set of five. You cannot half-do it. You cannot drift through it thinking about your afternoon. The weight either moves or it sits there in front of everybody. That is why eight to twelve has survived fifty years of scrutiny it never earned. It is the widest band of weight you can lift while remaining completely unaccountable. Heavy enough to feel like effort. Light enough that nothing is ever on the line. A rep range you can occupy for a decade without once finding out what you are capable of, and leave every session swollen, sweating and entirely convinced. Heavy training keeps a record. That is the objection to it, and nobody will ever say so out loud. Take a set of five to within a rep of failure and you will find out exactly what you are worth, in kilos, before you leave the building. Most people would rather not.

Sama Hoole

13,049 views • 25 days 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.
29:44

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 views • 2 months ago

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓
39:31

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

slash1s

433,431 views • 2 months ago

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.
40:58

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 views • 2 months ago

Joe Blitzstein, Harvard statistics professor: "Jane Street pays $600K for people who can do one thing in their head: compute the expected value of a bet before they take it. I teach it free at Harvard. skip it and you're the casino's favorite customer." this free lecture holds the entire "edge" every casino and every fund quietly runs on, and the man teaching it put his whole Harvard probability course online for free, where millions have watched it. at the board it's simple. expected value is every outcome times its probability, added up into one number that tells you what a bet is worth on average. the roulette wheel sits at minus 5.26 percent, so every dollar you push across the table is worth about 94 cents back to you and the rest to the house. it never changes and it never has to. that's the whole "edge", minus the marketing. expectation goes back to Pascal, Fermat and Huygens in the 1650s. it has been free for almost 400 years. same point as my casino piece above: the house wins because its number is positive and yours is negative, trade after trade. the calculation is free and every fund runs it on every position. what they cannot sell you is the honesty to compute your real edge instead of the one you wish you had. that is the number that actually decides who goes broke, and no course can make you face it.
50:22

Joe Blitzstein, Harvard statistics professor: "Jane Street pays $600K for people who can do one thing in their head: compute the expected value of a bet before they take it. I teach it free at Harvard. skip it and you're the casino's favorite customer." this free lecture holds the entire "edge" every casino and every fund quietly runs on, and the man teaching it put his whole Harvard probability course online for free, where millions have watched it. at the board it's simple. expected value is every outcome times its probability, added up into one number that tells you what a bet is worth on average. the roulette wheel sits at minus 5.26 percent, so every dollar you push across the table is worth about 94 cents back to you and the rest to the house. it never changes and it never has to. that's the whole "edge", minus the marketing. expectation goes back to Pascal, Fermat and Huygens in the 1650s. it has been free for almost 400 years. same point as my casino piece above: the house wins because its number is positive and yours is negative, trade after trade. the calculation is free and every fund runs it on every position. what they cannot sell you is the honesty to compute your real edge instead of the one you wish you had. that is the number that actually decides who goes broke, and no course can make you face it.

Voltex

388,503 views • 1 month ago

Imagine leaving the dealer after picking up your new car, your are amazed and distracted at the features of the car and how comfortable it is. All of a sudden you feel a spine jarring impact and hear multiple parts of the car crunching, the wheel is now wobbling and making noises. Before you know it, you realize you had just hit a massive pothole. Is it a sign that this car wasn’t meant for you or is it time to take it to the city and demand they repair it?
1:01

Imagine leaving the dealer after picking up your new car, your are amazed and distracted at the features of the car and how comfortable it is. All of a sudden you feel a spine jarring impact and hear multiple parts of the car crunching, the wheel is now wobbling and making noises. Before you know it, you realize you had just hit a massive pothole. Is it a sign that this car wasn’t meant for you or is it time to take it to the city and demand they repair it?

SonnyBoy🇺🇸

768,739 views • 7 months ago

we all dream of those big wins in life the 100x, the multi-million dollar trade, or even just 10x of what you started with in 7 days i’ve been fortunate enough to experience a few of those over the past few years, and the reality is when you do win big, it doesn’t feel like it at all it hits for a split second, and then your brain just normalizes it it's a part of how to get there in the first place, but makes it a lot easier to lose it if you don't have the right guardrails in place and in that exact moment, you being even keeled doesn’t mean the number in front of you isn’t life changing it is this is where you have to slow down a bit, breathe, settle your mind don’t just roll it into some bullshit take some off the table, step away for a few days if you have to, funny enough, blowing let's say 10k of it on a beautiful trip to tokyo will save you so much because once you actually process what just happened, your future self will thank you for it the truth is, even if you think you’re going for a certain number, the moment you hit it, you’ll want more and more, and more anyone who's been in the same position will tell you the exact same thing ironically the people that win are addicted to winning and if you ask the same people in a year after that big win, what they regret and where are they proud of themselves? they will tell you they regretted rolling it over and giving some/all back or they are proud for switching back on the switch all of this is real, but it’s also exactly how i imagined it would feel years ago before it ever happened manifest your life, the feeling not just the number everything happens twice, first in your mind, then in reality
0:21

we all dream of those big wins in life the 100x, the multi-million dollar trade, or even just 10x of what you started with in 7 days i’ve been fortunate enough to experience a few of those over the past few years, and the reality is when you do win big, it doesn’t feel like it at all it hits for a split second, and then your brain just normalizes it it's a part of how to get there in the first place, but makes it a lot easier to lose it if you don't have the right guardrails in place and in that exact moment, you being even keeled doesn’t mean the number in front of you isn’t life changing it is this is where you have to slow down a bit, breathe, settle your mind don’t just roll it into some bullshit take some off the table, step away for a few days if you have to, funny enough, blowing let's say 10k of it on a beautiful trip to tokyo will save you so much because once you actually process what just happened, your future self will thank you for it the truth is, even if you think you’re going for a certain number, the moment you hit it, you’ll want more and more, and more anyone who's been in the same position will tell you the exact same thing ironically the people that win are addicted to winning and if you ask the same people in a year after that big win, what they regret and where are they proud of themselves? they will tell you they regretted rolling it over and giving some/all back or they are proud for switching back on the switch all of this is real, but it’s also exactly how i imagined it would feel years ago before it ever happened manifest your life, the feeling not just the number everything happens twice, first in your mind, then in reality

۟

23,017 views • 4 months ago

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.
1:00:58

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 views • 1 month ago

Jeff Bezos looked at a government waiting room and priced it at a hundred billion dollars. Bezos: “This is a $100 billion business, by the way. This is huge business.” That number is not ambition. It is a measurement. A company that size does not create a hundred billion dollars of new value here. It recovers a hundred billion that is already being destroyed, on schedule, in public, by a process everyone has agreed to call normal. The size of the opportunity is the size of the wound. Bezos: “They almost always say yes, they just make you wait a long time.” So the verdict was never in question. Only the delivery date. Which means the months bought nothing. They were storage. Your project sat in a room while the word yes waited its turn to be said. Nobody in there was deciding. Someone was scheduling. And the room bills by the day. Suarez: “The daily carrying cost, one day of interest, 200 to $400,000 per day.” Now find the recipient. There isn’t one. No school funded, no inspector paid, no safety review performed. A tax at least moves money into someone’s hands. This deletes it at four hundred thousand a day, and every dollar was real before the queue touched it. Bezos: “And that doesn’t count the frustration.” Count it anyway. It lands on a body long before it lands on a spreadsheet. Suarez: “Which is infinite. I have some white hairs as a result of this stuff.” That is the invoice. The money has a rate. The rest gets charged to the man, and he pays it whether the answer comes back yes or no. No one has ever been refunded a year. Every other cost in this economy can be hedged, insured, refinanced, or written off. Waiting is the only one that is final. A man will forgive being told no. He will never get back the time he spent standing there waiting to be told yes. We built a civilization that can move a decision at the speed of light and still schedule it at the speed of a man’s hair turning white. Bezos: “It should give you a yes or a no in 10 seconds. And if the answer is no, it should tell you the 6 things you have to change to get a yes.” For four thousand years the wait was honest. Someone had to hold the entire code in one head and walk it line by line against your drawings. Reading was slow because reading was human. That stopped being true in less time than it takes to approve one building. Bezos: “Maybe with AI it can just read all the plans. And it knows all the codes. Spit it out.” The constraint is gone. The wait stayed. Anything still moving at the old speed after the cost of thinking collapsed is not slow. It is choosing. The queue never protected you from a bad building. It protected a signature from a bad outcome. Nobody gets fired for the wait. They get fired for the answer. An institution has no lifespan, so time costs it nothing. You have one, so time is the only thing it can take. Every queue is a trade between something that dies and something that doesn’t, and only one side is ever charged. That trade held for the whole of recorded history because the mortal side had no leverage. It does now. Somebody is going to build this. A hundred billion does not sit in a waiting room forever. And the day it exists, the wait stops being a fact of the world and becomes a decision with a name attached. The hundred billion was never the prize. It is the receipt for how long we agreed to stand there. We are the first people alive who get to stop signing it.
1:55

Jeff Bezos looked at a government waiting room and priced it at a hundred billion dollars. Bezos: “This is a $100 billion business, by the way. This is huge business.” That number is not ambition. It is a measurement. A company that size does not create a hundred billion dollars of new value here. It recovers a hundred billion that is already being destroyed, on schedule, in public, by a process everyone has agreed to call normal. The size of the opportunity is the size of the wound. Bezos: “They almost always say yes, they just make you wait a long time.” So the verdict was never in question. Only the delivery date. Which means the months bought nothing. They were storage. Your project sat in a room while the word yes waited its turn to be said. Nobody in there was deciding. Someone was scheduling. And the room bills by the day. Suarez: “The daily carrying cost, one day of interest, 200 to $400,000 per day.” Now find the recipient. There isn’t one. No school funded, no inspector paid, no safety review performed. A tax at least moves money into someone’s hands. This deletes it at four hundred thousand a day, and every dollar was real before the queue touched it. Bezos: “And that doesn’t count the frustration.” Count it anyway. It lands on a body long before it lands on a spreadsheet. Suarez: “Which is infinite. I have some white hairs as a result of this stuff.” That is the invoice. The money has a rate. The rest gets charged to the man, and he pays it whether the answer comes back yes or no. No one has ever been refunded a year. Every other cost in this economy can be hedged, insured, refinanced, or written off. Waiting is the only one that is final. A man will forgive being told no. He will never get back the time he spent standing there waiting to be told yes. We built a civilization that can move a decision at the speed of light and still schedule it at the speed of a man’s hair turning white. Bezos: “It should give you a yes or a no in 10 seconds. And if the answer is no, it should tell you the 6 things you have to change to get a yes.” For four thousand years the wait was honest. Someone had to hold the entire code in one head and walk it line by line against your drawings. Reading was slow because reading was human. That stopped being true in less time than it takes to approve one building. Bezos: “Maybe with AI it can just read all the plans. And it knows all the codes. Spit it out.” The constraint is gone. The wait stayed. Anything still moving at the old speed after the cost of thinking collapsed is not slow. It is choosing. The queue never protected you from a bad building. It protected a signature from a bad outcome. Nobody gets fired for the wait. They get fired for the answer. An institution has no lifespan, so time costs it nothing. You have one, so time is the only thing it can take. Every queue is a trade between something that dies and something that doesn’t, and only one side is ever charged. That trade held for the whole of recorded history because the mortal side had no leverage. It does now. Somebody is going to build this. A hundred billion does not sit in a waiting room forever. And the day it exists, the wait stops being a fact of the world and becomes a decision with a name attached. The hundred billion was never the prize. It is the receipt for how long we agreed to stand there. We are the first people alive who get to stop signing it.

Dustin

17,133 views • 1 month ago

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.
39:31

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

47,557 views • 1 month ago

Rubio: It was the right decision to reverse it and why would you want to play a game and win a match and then everyone would argue you didn't really win because the best player was not on the pitch during the match. Maybe we will bring it up at NATO tomorrow
0:25

Rubio: It was the right decision to reverse it and why would you want to play a game and win a match and then everyone would argue you didn't really win because the best player was not on the pitch during the match. Maybe we will bring it up at NATO tomorrow

Acyn

569,489 views • 2 months ago

There is nothing more harrowing and humbling on this earth than a tour of the Auschwitz concentration camp. It is such a profound and moving experience that is hard to describe in words to anyone who has never been there, and if you haven't, I highly recommend you go. (Just make sure to bring a few extra bucks with you because it is certainly NOT cheap!) NEVER AGAIN.
2:10

There is nothing more harrowing and humbling on this earth than a tour of the Auschwitz concentration camp. It is such a profound and moving experience that is hard to describe in words to anyone who has never been there, and if you haven't, I highly recommend you go. (Just make sure to bring a few extra bucks with you because it is certainly NOT cheap!) NEVER AGAIN.

1984

740,877 views • 2 years ago

There was a parent who lost a child to the needle. Not lost to death, which at least lets you grieve and one day stop. Lost to the street. To the years of disappearing, the phone that stops being answered, the front door left unlocked every single night for a decade on the chance the child might finally come through it. And the parent never stopped. Did not move on. Did not decide the child was too far gone. Drove to the worst parts of town to scan the faces under the overpass. Searched for years, going gray with it, burying the hope a hundred times and digging it back up every morning, because a parent does not get to stop loving a child just because the child is lost. And then came the day it finally happened. The child, hollowed out, certain they were beyond all loving, looked up, and there was the parent's face. And neither of them could speak. They just held on, and they wept, the kind of weeping that has years of grief and years of longing pouring out of it at once, the child sobbing the only word they could find, sorry, sorry, and the parent saying the only word that mattered, which was not "where have you been" and not "do you know what you did to me," but only, over and over into their hair, you're home, you're home, you're home. Now understand. That is not just a real story about a parent and a child. That is God, and that is humanity. No one is forgotten by the Father. He did not fold His arms and wait at home for you to crawl back and prove you were worth it. The moment you were lost, He came after you. And the cost He paid to reach the very bottom of your pit was not patience, and it was not effort. It was His Son, sent down below all of it, so there would be no depth where His face was not already waiting for you to find it. So hear this, wherever it finds you. You were never forgotten, not for one second, not in the worst of it. The door has been unlocked every night since the day you left. He is still driving the worst parts of town. He is still scanning the faces under the overpass. He is still weeping over the ones who are certain they have fallen too far to ever come back. And the moment you turn around, you will not hear "where have you been." You will only hear, said over and over into your hair, the one thing that has been true since before the foundation of the world: you're home, you're home, you're home. Stop running. Come home.
0:39

There was a parent who lost a child to the needle. Not lost to death, which at least lets you grieve and one day stop. Lost to the street. To the years of disappearing, the phone that stops being answered, the front door left unlocked every single night for a decade on the chance the child might finally come through it. And the parent never stopped. Did not move on. Did not decide the child was too far gone. Drove to the worst parts of town to scan the faces under the overpass. Searched for years, going gray with it, burying the hope a hundred times and digging it back up every morning, because a parent does not get to stop loving a child just because the child is lost. And then came the day it finally happened. The child, hollowed out, certain they were beyond all loving, looked up, and there was the parent's face. And neither of them could speak. They just held on, and they wept, the kind of weeping that has years of grief and years of longing pouring out of it at once, the child sobbing the only word they could find, sorry, sorry, and the parent saying the only word that mattered, which was not "where have you been" and not "do you know what you did to me," but only, over and over into their hair, you're home, you're home, you're home. Now understand. That is not just a real story about a parent and a child. That is God, and that is humanity. No one is forgotten by the Father. He did not fold His arms and wait at home for you to crawl back and prove you were worth it. The moment you were lost, He came after you. And the cost He paid to reach the very bottom of your pit was not patience, and it was not effort. It was His Son, sent down below all of it, so there would be no depth where His face was not already waiting for you to find it. So hear this, wherever it finds you. You were never forgotten, not for one second, not in the worst of it. The door has been unlocked every night since the day you left. He is still driving the worst parts of town. He is still scanning the faces under the overpass. He is still weeping over the ones who are certain they have fallen too far to ever come back. And the moment you turn around, you will not hear "where have you been." You will only hear, said over and over into your hair, the one thing that has been true since before the foundation of the world: you're home, you're home, you're home. Stop running. Come home.

Kirk Rollins

21,168 views • 2 months ago

"What is gravity?" It doesn't matter how many of the smartest scientists, physicists, whatever-ists you ask...NONE of them will ever be able to answer this question. This is because "gravity" is a completely made-up concept, invented purely to make NASA's spinning spaceball globe model possible. "Gravity" is not measurable. There is no way to test it. Nowhere in the real world will you ever see a small object sticking to a bigger object, let alone start orbiting around it. The entire idea is utterly silly when you actually stop and use your discerning brain. Bodies of mass DO NOT gain a magical suctioning ability as they increase in size. The ONLY REASON you think this happens when you move up to a giant scale is because NASA and fictional space movies have shown you the visual of actors sticking to a ball THOUSANDS OF TIMES over the course of your life. That is IT. You have NEVER seen this phenomenon occur outside of your television set or smartphone screen. Objects move up and down in our world due to DENSITY, BUOYANCY, and ELECTROSTATICS. That is IT. Gravity is not a factor. It does not exist, and never will.
1:15

"What is gravity?" It doesn't matter how many of the smartest scientists, physicists, whatever-ists you ask...NONE of them will ever be able to answer this question. This is because "gravity" is a completely made-up concept, invented purely to make NASA's spinning spaceball globe model possible. "Gravity" is not measurable. There is no way to test it. Nowhere in the real world will you ever see a small object sticking to a bigger object, let alone start orbiting around it. The entire idea is utterly silly when you actually stop and use your discerning brain. Bodies of mass DO NOT gain a magical suctioning ability as they increase in size. The ONLY REASON you think this happens when you move up to a giant scale is because NASA and fictional space movies have shown you the visual of actors sticking to a ball THOUSANDS OF TIMES over the course of your life. That is IT. You have NEVER seen this phenomenon occur outside of your television set or smartphone screen. Objects move up and down in our world due to DENSITY, BUOYANCY, and ELECTROSTATICS. That is IT. Gravity is not a factor. It does not exist, and never will.

Ben Wehrman

35,420 views • 6 months ago

The smartest man at Bell Labs found a way to make money from a stock that goes nowhere. up 40%, down 40%, flat on the year, and you still walk away richer. he barely wrote it down. it survived in a black-and-white MIT lecture from 1970. it has been free ever since. almost nobody has watched it. the idea: your money does not grow by adding, it grows by multiplying. and the second you switch from adding to multiplying, one function quietly runs everything: the logarithm. the man at the board is Herb Gross, MIT, whose 1970 calculus course taught more traders their own math than most finance degrees ever will. here is the part that pays. growth compounds along a curve that bends, and that bend is the whole secret. because it bends, a volatile stock that goes nowhere can be turned into real profit. hold it, rebalance it, buy low and sell high on autopilot, and the wiggle itself becomes the return. no ticker. no forecast. one curve, and the way it bends. Bell Labs called it Shannon's Demon: money out of a stock that never moved. it lives inside the logarithm Gross draws on the board. the stock did nothing. the math did everything. it has been free since 1970, and almost no one bothered to learn the one function that turns motion into money.
33:58

The smartest man at Bell Labs found a way to make money from a stock that goes nowhere. up 40%, down 40%, flat on the year, and you still walk away richer. he barely wrote it down. it survived in a black-and-white MIT lecture from 1970. it has been free ever since. almost nobody has watched it. the idea: your money does not grow by adding, it grows by multiplying. and the second you switch from adding to multiplying, one function quietly runs everything: the logarithm. the man at the board is Herb Gross, MIT, whose 1970 calculus course taught more traders their own math than most finance degrees ever will. here is the part that pays. growth compounds along a curve that bends, and that bend is the whole secret. because it bends, a volatile stock that goes nowhere can be turned into real profit. hold it, rebalance it, buy low and sell high on autopilot, and the wiggle itself becomes the return. no ticker. no forecast. one curve, and the way it bends. Bell Labs called it Shannon's Demon: money out of a stock that never moved. it lives inside the logarithm Gross draws on the board. the stock did nothing. the math did everything. it has been free since 1970, and almost no one bothered to learn the one function that turns motion into money.

Loran

238,341 views • 1 month ago

Ten million people have watched an MIT professor teach a course whose first lecture is literally titled "What is a Derivative?" Almost none have written down the two-line answer. He filmed the lecture once in the fall of 2007 and it has been on YouTube ever since. Math tutors charge $200 an hour to teach a diluted version of what he covered in 50 minutes for free. His name is David Jerison. He is a professor of mathematics at MIT and the instructor of 18.01 Single Variable Calculus, one of the most-watched math courses in the history of the internet. The 50-minute clip in this video is Lecture 1, filmed at MIT in the fall of 2007. Jerison is deriving the definition of a derivative from a single tangent line. The whole framework fits on a napkin. A derivative is just how much y changes when x moves a tiny bit. Draw a tangent line to any curve at any point. The slope of that line is the derivative. Memorize one formula, the power rule, and you can differentiate every polynomial on earth in your head. Chain that with a handful of exceptions and you can differentiate almost every function humanity has ever written down. That single set of rules is what every neural network runs on gradient descent, what every rocket landing at SpaceX solves in real time, and what every options desk at Goldman Sachs is running behind every quote you see on the screen. "In mathematics you don't understand things. You just get used to them." That is John von Neumann, the mathematician who helped design the atomic bomb and invent the modern computer. Jerison returns to the same idea in every lecture. Almost no student giving up on calculus has heard von Neumann say it out loud. Every quant fund on Wall Street pays entry-level analysts $250,000 to know the same power rule Jerison derives on the board. Every AI bootcamp charges tens of thousands to teach a diluted version of the same equation on a laptop. The lecture is free on MIT OpenCourseWare. The textbook is under sixty dollars. Almost none of the millions who watched have ever taken the power rule and applied it to their own numbers on their own paper. The math is free. The willingness to actually take one derivative before your next model, trade, or engineering trade-off is the entire edge.
50:48

Ten million people have watched an MIT professor teach a course whose first lecture is literally titled "What is a Derivative?" Almost none have written down the two-line answer. He filmed the lecture once in the fall of 2007 and it has been on YouTube ever since. Math tutors charge $200 an hour to teach a diluted version of what he covered in 50 minutes for free. His name is David Jerison. He is a professor of mathematics at MIT and the instructor of 18.01 Single Variable Calculus, one of the most-watched math courses in the history of the internet. The 50-minute clip in this video is Lecture 1, filmed at MIT in the fall of 2007. Jerison is deriving the definition of a derivative from a single tangent line. The whole framework fits on a napkin. A derivative is just how much y changes when x moves a tiny bit. Draw a tangent line to any curve at any point. The slope of that line is the derivative. Memorize one formula, the power rule, and you can differentiate every polynomial on earth in your head. Chain that with a handful of exceptions and you can differentiate almost every function humanity has ever written down. That single set of rules is what every neural network runs on gradient descent, what every rocket landing at SpaceX solves in real time, and what every options desk at Goldman Sachs is running behind every quote you see on the screen. "In mathematics you don't understand things. You just get used to them." That is John von Neumann, the mathematician who helped design the atomic bomb and invent the modern computer. Jerison returns to the same idea in every lecture. Almost no student giving up on calculus has heard von Neumann say it out loud. Every quant fund on Wall Street pays entry-level analysts $250,000 to know the same power rule Jerison derives on the board. Every AI bootcamp charges tens of thousands to teach a diluted version of the same equation on a laptop. The lecture is free on MIT OpenCourseWare. The textbook is under sixty dollars. Almost none of the millions who watched have ever taken the power rule and applied it to their own numbers on their own paper. The math is free. The willingness to actually take one derivative before your next model, trade, or engineering trade-off is the entire edge.

Lumen

24,218 views • 11 days ago

#WATCH | Thiruvananthapuram, Kerala: CPI-M MP John Brittas says, "Karnataka decision is retrograde, reactionary and regressive. USD 250 billion IT hub of Bengaluru came up not because of Karnataka alone. It is the contribution of a lot of people from abroad and other states of the country. And if you are going to reserve such employment for local people who were born there or domiciled there it is going to create a mayhem in this country... The role of the Malayalis is also very huge and it will affect the Malyalis also... If you bring in such regressive measures, it's going to affect the integrity and unity of this country..."
1:23

#WATCH | Thiruvananthapuram, Kerala: CPI-M MP John Brittas says, "Karnataka decision is retrograde, reactionary and regressive. USD 250 billion IT hub of Bengaluru came up not because of Karnataka alone. It is the contribution of a lot of people from abroad and other states of the country. And if you are going to reserve such employment for local people who were born there or domiciled there it is going to create a mayhem in this country... The role of the Malayalis is also very huge and it will affect the Malyalis also... If you bring in such regressive measures, it's going to affect the integrity and unity of this country..."

ANI

370,325 views • 2 years ago