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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,...

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Mark Poiler

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1,877,301 次观看 • 1 个月前 •via X (Twitter)

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35 条评论

David Rodriguez 的头像
David Rodriguez1 个月前

Respect to the people that understand this level of mathematics.

Romario 的头像
Romario1 个月前

The most valuable thing about this is that MIT simply put the knowledge out there and asked for nothing in return. Meanwhile other universities watched this happen and kept raising their prices.

JSmo ☦️ 的头像
JSmo ☦️1 个月前

I'm in school for civil engineering right now and every class is on YouTube from many different universities. I've even found classes which won't be in my track like bridge design that I can take for free after graduation. The price is the certification not the knowledge.

Render 的头像
Render1 个月前

Higher education was never valuable because there was some sort of secret knowledge hidden from the public. It’s a skill transfer process for jobs that require verification that you were taught by a professional and actually learned the skill. Videos teach but don’t verify.

Richard Keeling 的头像
Richard Keeling1 个月前

Real scholars--the ones who should be professors--do their work for nothing. They are motivated by interest and creativity. And as for the administration. All this work would be done by graduate students. All the counselors and staff get generous salaries, even though they have no interest in the subject being taught. They could be replaced by graduate students who really care and would be saved a lifetime of debt. The Catholic church works this way. It is natural and cost effective.

Adam Nemo 的头像
Adam Nemo1 个月前

Mark, seems like this would be simple enough for you to write without AI.

Nick 的头像
Nick1 个月前

Uhh yea no shit. You can walk into any university lecture at any time and learn for free. You’re paying for the credentials after graduation

Steve Strickland 的头像
Steve Strickland1 个月前

The UK was providing this service decades before through Open University lecture courses that were broadcast daily on free-to-air TV.

jaceyun 的头像
jaceyun1 个月前

MIT free courses more useful that half of unis

Patrick J. Murphy 的头像
Patrick J. Murphy1 个月前

videos like that are nice to watch but they are not a substitute for the real deal

E 的头像
E1 个月前

Multivariable calculus was the fun one actually. Differential equations I did not enjoy 🙃

Sides.Trade – Polymarket AI Bot 的头像
Sides.Trade – Polymarket AI Bot1 个月前

did this guy spend 40 years trying to delete this video from internet?

Marc 'Free Dexter Taylor' Olivier 的头像
Marc 'Free Dexter Taylor' Olivier1 个月前

@donallen02 MIT offers free college-level courses ( Khan Academy offers courses for kids from Pre-K forward.

CNX_ที่แปลว่าเชียงใหม่ 的头像
CNX_ที่แปลว่าเชียงใหม่1 个月前

แคลคูลัส คือวิชาที่สนุกมาก ยิ่งทำได้ยิ่งรู้สึกว่าความฉลาดขยับมากขึ้น

AI Mastery Guide 的头像
AI Mastery Guide1 个月前

Free lectures but people still pay for the degree, that line hits hard 💯

Russell Koch 的头像
Russell Koch1 个月前

I passed up to multivariate—but never really understood it. Now I’m an electrician. 🤨

time velocity 🇺🇸 的头像
time velocity 🇺🇸1 个月前

We need more of this and fewer cat videos.

ismaelvega 的头像
ismaelvega1 个月前

man. for a moment i thought you were sharing a prompt for Flux 3. my TL is flooded with that sh

Price.WrightThrills 的头像
Price.WrightThrills1 个月前

I was truly all in.....then about 10 words in my mouth opened and I noticed a slight drip out the corner of my mouth. I dont think variable multiverse calculusasus if for me Dormomu

Norman Newsham 的头像
Norman Newsham1 个月前

Use to watch it on my YouTube feed. Had absolutely no idea what was going on but it sounded good

Feraser 的头像
Feraser1 个月前

that's so powerful and beautiful

David Murphy 🌎🌍🌏🇮🇪 🪗 的头像
David Murphy 🌎🌍🌏🇮🇪 🪗1 个月前

I'm pretty sure arithmetic is maths

Joseph Clark 的头像
Joseph Clark1 个月前

Not to nitpick, but the camera is clearly moving in that clip. But yes, the MIT open courseware is great!

Froxxxie 的头像
Froxxxie1 个月前

The thing people pay $60k a year for was never the lecture itself. How many still confuse access to information with the ability to actually use it?

Vandy_Trading Assistant 的头像
Vandy_Trading Assistant1 个月前

This MIT lecture from 2007 still hits harder than most paid classes today

LawlessKO 的头像
LawlessKO1 个月前

I watched their intro to Real Analysis undergrad class on youtube last year and the prof just walks into the 1st class & starts writing proofs on the chalkboard which was 4 chalkboards wide, 3 chalkboards high, and he just cycled through them as he went without stopping for ????

Lawrence L. Wood 的头像
Lawrence L. Wood1 个月前

MIT OpenCourseWare has been a major part of my life, in fact I have learned far more from it's curriculum than I ever did in graduate school and for free!

Victor 的头像
Victor1 个月前

next time ask the AI to make your text look less AI

Alien Ant World 🛸 的头像
Alien Ant World 🛸1 个月前

Interesting

zerominuszero 的头像
zerominuszero1 个月前

MIT course for free mean nothing. It's the piece of fancy paper w/ your name written in gold leaf that means everything. -especially today. How else are you going to stand out from the other applications at Starbucks?

Joshua Fontanilla 的头像
Joshua Fontanilla1 个月前

Obama made this illegal. Said something like dead people wouldn’t have access. So they stopped doing it.

Eddie 的头像
Eddie1 个月前

I thought we just all knew this stuff naturally? You guys needed a class for this?

Chiller1967 的头像
Chiller19671 个月前

Because companies dont care about knowledge they care about credentials.

Newly Hired Clerk 的头像
Newly Hired Clerk1 个月前

The fact that this exists and it not passed around in colleges is a testament to the fact that it's lectureslop and doesn't actually help people who don't learn from lecture slop. Learning from these genuinely sucks like you have no idea.

Cryton 的头像
Cryton1 个月前

The lecture was only one layer of education. Access changes the game, but mentorship, community, and accountability remain hard to replicate.

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IN 2024 IN CHENNAI A 54-YEAR-OLD PROFESSOR EXPOSED a leaked secret that Western universities want to keep quiet. Elite departments charge over $2,400 per credit for advanced quantum theory. But this entire graduate course has been free since the early 2000s, and paid institutions are actively trying to hide it. In this unlisted lecture footage, S. Lakshmi Bala moves past abstract vector spaces straight into the two-level atom model—the exact same physics driving modern laser tech and quantum processors today. No login wall. No certificate fee to just watch. One professor, one blackboard, and a camera that never stopped rolling for over 40 lectures. Traditional universities built million-dollar gatekeeping systems around this exact material. IIT Madras just recorded it and gave it away through an archive that now hosts over 3,200 free courses. $0 to watch, no account required Filmed lecture hall style since the early 2000s Same physics that underlies quantum computing today Just don't lose it and find a way to save the lecture, because other paid institutions don't want you to have access to it for free. What happens when the gatekeepers finally lose control of elite education?

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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

95,530 次观看 • 1 个月前

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.
1:56:06

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 次观看 • 2 个月前

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 次观看 • 2 个月前

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 次观看 • 1 个月前

A theoretical physics course opens not with equations but with the rules for saying anything true at all. This is lecture 1 of Lectures on the Geometric Anatomy of Theoretical Physics, taught by Frederic Schuller. The topic is propositional and predicate logic. Most physics courses assume logic and start with mechanics. Schuller refuses. Before manifolds, before tensors, before a single physical claim, he builds the language the claims will be written in. The audience is advanced students who have already met the physics. He is going back under it and rebuilding the floor. Watch how precisely he states each rule, then shows what collapses if you loosen it. No appeals to intuition anywhere in the hour. A machine learning engineer I know worked through the first 10 lectures and said proofs stopped feeling like a different profession. Free on YouTube, green chalkboard, German lecture hall. Everyone starts with the physics. He started with what counts as true.
1:40:34

A theoretical physics course opens not with equations but with the rules for saying anything true at all. This is lecture 1 of Lectures on the Geometric Anatomy of Theoretical Physics, taught by Frederic Schuller. The topic is propositional and predicate logic. Most physics courses assume logic and start with mechanics. Schuller refuses. Before manifolds, before tensors, before a single physical claim, he builds the language the claims will be written in. The audience is advanced students who have already met the physics. He is going back under it and rebuilding the floor. Watch how precisely he states each rule, then shows what collapses if you loosen it. No appeals to intuition anywhere in the hour. A machine learning engineer I know worked through the first 10 lectures and said proofs stopped feeling like a different profession. Free on YouTube, green chalkboard, German lecture hall. Everyone starts with the physics. He started with what counts as true.

Gaspar

18,907 次观看 • 1 个月前

In 2013 a Wall Street risk boss walked up to an MIT chalkboard and gave away the exact math desks charge $400,000 a year to run. MIT filmed it. it has been free for 13 years. 7.9 million people pressed play and almost none of them changed a thing. his point: the Wall Street edge was never a secret. it is a first lecture. options, risk, how a payout is actually built. every prediction-market trader hunting an edge in 2026 is chasing what Jake Xia put on a board in hour one of a free class. he ran risk for a living, not a channel. the video outdrew most blockbusters and still moved almost no one, because watching is not doing. skip to where he prices risk. he takes the thing quant threads sell for $500 and builds it from zero, slow enough for a beginner to follow. no paywall. no NDA. one board and a marker. a quant I know sends this link to every junior who whines the math is too hard. you are 13 years late. it is still free.
1:00:07

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

Loran

152,813 次观看 • 1 个月前

A Fields Medalist stood on a stage in the 1960s and taught the geometry every gradient moves through. The film went missing for years. This is John Milnor, lecture 1 on differential topology, filmed by the Mathematical Association of America soon after he won the Fields Medal in 1962. He was in his early 30s. The same lectures became Topology from the Differentiable Viewpoint, a book still assigned 60 years later and short enough to read in a week. Smooth maps, manifolds, regular values. The vocabulary under every loss surface, every latent space, every paper with the word manifold in the abstract. Watch what he writes at the top of the board and how little he needs after it. No slides, no notation dumped on the room, each definition doing real work. A research engineer I know worked through the book alongside the film and said the two together beat every modern course he tried. The footage was unavailable for years. It sits free on YouTube now, black and white, 1 fixed camera. The best textbook in the field is a transcript of this room.
51:41

A Fields Medalist stood on a stage in the 1960s and taught the geometry every gradient moves through. The film went missing for years. This is John Milnor, lecture 1 on differential topology, filmed by the Mathematical Association of America soon after he won the Fields Medal in 1962. He was in his early 30s. The same lectures became Topology from the Differentiable Viewpoint, a book still assigned 60 years later and short enough to read in a week. Smooth maps, manifolds, regular values. The vocabulary under every loss surface, every latent space, every paper with the word manifold in the abstract. Watch what he writes at the top of the board and how little he needs after it. No slides, no notation dumped on the room, each definition doing real work. A research engineer I know worked through the book alongside the film and said the two together beat every modern course he tried. The footage was unavailable for years. It sits free on YouTube now, black and white, 1 fixed camera. The best textbook in the field is a transcript of this room.

the lich

29,983 次观看 • 1 个月前

A banking professor was asked to describe the money supply and answered that the textbook version is not how it works. Richard Werner, 2019, a curtain, a suit, no audience. His question is narrow and almost nobody asks it: why do lending and deposit taking sit inside the same firm at all. Split them and the whole mechanism stops. The reason is an accounting reason, not an economic one. Watch the part where he moves from that split to why no other company on earth can do the same thing. No slides, no stage, a camera in a room. Every other firm lends what it has. One kind of firm writes the number first.
1:48:01

A banking professor was asked to describe the money supply and answered that the textbook version is not how it works. Richard Werner, 2019, a curtain, a suit, no audience. His question is narrow and almost nobody asks it: why do lending and deposit taking sit inside the same firm at all. Split them and the whole mechanism stops. The reason is an accounting reason, not an economic one. Watch the part where he moves from that split to why no other company on earth can do the same thing. No slides, no stage, a camera in a room. Every other firm lends what it has. One kind of firm writes the number first.

Merlow

12,157 次观看 • 17 天前