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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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1,879,161 Aufrufe • vor 3 Monaten •via X (Twitter)

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35 Kommentare

Profilbild von David Rodriguez
David Rodriguezvor 3 Monaten

Respect to the people that understand this level of mathematics.

Profilbild von Romario
Romariovor 3 Monaten

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.

Profilbild von JSmo ☦️
JSmo ☦️vor 3 Monaten

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.

Profilbild von Render
Rendervor 3 Monaten

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.

Profilbild von Richard Keeling
Richard Keelingvor 3 Monaten

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.

Profilbild von Adam Nemo
Adam Nemovor 3 Monaten

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

Profilbild von Nick
Nickvor 3 Monaten

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

Profilbild von Steve Strickland
Steve Stricklandvor 3 Monaten

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

Profilbild von jaceyun
jaceyunvor 3 Monaten

MIT free courses more useful that half of unis

Profilbild von Patrick J. Murphy
Patrick J. Murphyvor 3 Monaten

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

Profilbild von E
Evor 3 Monaten

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

Profilbild von Sides.Trade – Polymarket AI Bot
Sides.Trade – Polymarket AI Botvor 3 Monaten

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

Profilbild von Marc 'Free Dexter Taylor' Olivier
Marc 'Free Dexter Taylor' Oliviervor 3 Monaten

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

Profilbild von CNX_ที่แปลว่าเชียงใหม่
CNX_ที่แปลว่าเชียงใหม่vor 3 Monaten

แคลคูลัส คือวิชาที่สนุกมาก ยิ่งทำได้ยิ่งรู้สึกว่าความฉลาดขยับมากขึ้น

Profilbild von AI Mastery Guide
AI Mastery Guidevor 3 Monaten

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

Profilbild von Russell Koch
Russell Kochvor 3 Monaten

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

Profilbild von time velocity 🇺🇸
time velocity 🇺🇸vor 3 Monaten

We need more of this and fewer cat videos.

Profilbild von ismaelvega
ismaelvegavor 3 Monaten

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

Profilbild von Price.WrightThrills
Price.WrightThrillsvor 3 Monaten

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

Profilbild von Norman Newsham
Norman Newshamvor 3 Monaten

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

Profilbild von Feraser
Feraservor 3 Monaten

that's so powerful and beautiful

Profilbild von David Murphy 🌎🌍🌏🇮🇪 🪗
David Murphy 🌎🌍🌏🇮🇪 🪗vor 3 Monaten

I'm pretty sure arithmetic is maths

Profilbild von Joseph Clark
Joseph Clarkvor 3 Monaten

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

Profilbild von Froxxxie
Froxxxievor 3 Monaten

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?

Profilbild von Vandy_Trading Assistant
Vandy_Trading Assistantvor 3 Monaten

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

Profilbild von LawlessKO
LawlessKOvor 3 Monaten

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 ????

Profilbild von Lawrence L. Wood
Lawrence L. Woodvor 3 Monaten

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!

Profilbild von Victor
Victorvor 3 Monaten

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

Profilbild von Alien Ant World 🛸
Alien Ant World 🛸vor 3 Monaten

Interesting

Profilbild von zerominuszero
zerominuszerovor 3 Monaten

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?

Profilbild von Joshua Fontanilla
Joshua Fontanillavor 3 Monaten

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

Profilbild von Eddie
Eddievor 3 Monaten

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

Profilbild von Chiller1967
Chiller1967vor 3 Monaten

Because companies dont care about knowledge they care about credentials.

Profilbild von Newly Hired Clerk
Newly Hired Clerkvor 3 Monaten

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.

Profilbild von Cryton
Crytonvor 3 Monaten

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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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

31,497 Aufrufe • vor 1 Monat

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?
47:01

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?

Kshitij Mishra | AI & Tech

88,721 Aufrufe • vor 2 Monaten

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

95,794 Aufrufe • vor 3 Monaten

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 Aufrufe • vor 3 Monaten

Coca-Cola went public in 1919 at $40 a share. One year later it was $19 – down half – and the family that had owned the whole business bought it in the 1880s for $2,000 this is Warren Buffett at 68, in a room of Florida MBA students, walking through the single stock he is most identified with and explaining why the worst year was irrelevant the point he is making is not that Coke was cheap – it is that the price collapsed 50% while the business itself was fine he goes on to what he actually watches instead of the price – volumes, pricing power, and where the growth is coming from ten years out no slides – no notes – no prepared remarks, and no lawyer in the room this lecture exists because a 1970 graduate endowed a fund so the university could invite one speaker a year bookmark & watch today ↓
15:00

Coca-Cola went public in 1919 at $40 a share. One year later it was $19 – down half – and the family that had owned the whole business bought it in the 1880s for $2,000 this is Warren Buffett at 68, in a room of Florida MBA students, walking through the single stock he is most identified with and explaining why the worst year was irrelevant the point he is making is not that Coke was cheap – it is that the price collapsed 50% while the business itself was fine he goes on to what he actually watches instead of the price – volumes, pricing power, and where the growth is coming from ten years out no slides – no notes – no prepared remarks, and no lawyer in the room this lecture exists because a 1970 graduate endowed a fund so the university could invite one speaker a year bookmark & watch today ↓

Neuro

1,372,147 Aufrufe • vor 2 Monaten

An American university quietly filmed a 77-minute finance lecture that proves a $300,000 mortgage pays off only $45,000 of principal in its first ten years, and no bank, broker, or realtor will ever walk the buyer through it. The professor recorded it once and posted every minute to the university's archive for nothing. Mortgage brokers charge $5,000 in origination fees to hide the exact formula he derives on the whiteboard for free. He is a classical finance mathematics professor who has watched three generations of Americans sign mortgages they could not read. Every lecture is one whiteboard and one marker. The annuity formula. The 1933 mortgage reform. The $1,625 interest on month one. The $271 of principal. His entire framework fits on a napkin. Interest each month equals the balance times the rate divided by twelve. On a $300,000 loan at 6.5 percent, month one is $1,625 of interest and $271 of principal. Ten years in, you have paid $182,000 in interest and $45,000 in principal. Half the loan is only gone after year twenty-one. An extra $200 a month cuts seven years and saves over $100,000. The thirty-year amortizing mortgage was invented in 1933 and nobody has rewritten it since. That last line alone is why every realtor pushes the 30-year loan and every bank officer hopes you never ask about the extra $200. "Interest each month equals the remaining balance times the annual rate divided by twelve." That is the one line every finance math class in the country opens with. It decides whether a 65-year-old is mortgage-free or still writing checks to the bank. Homebuyers sign a 30-year loan without running the amortization table and give the bank six dollars of interest for every dollar of equity in year one. Parents pay off the house the month before the grandkid graduates because nobody showed them the extra-principal rule. The lecture is free on the university's YouTube channel. The textbook is under eighty dollars. Almost no one signing a mortgage next Monday has watched the first twenty minutes. The napkin is free. The willingness to actually run the amortization table before you sign thirty years of your life away is the entire edge.
1:17:09

An American university quietly filmed a 77-minute finance lecture that proves a $300,000 mortgage pays off only $45,000 of principal in its first ten years, and no bank, broker, or realtor will ever walk the buyer through it. The professor recorded it once and posted every minute to the university's archive for nothing. Mortgage brokers charge $5,000 in origination fees to hide the exact formula he derives on the whiteboard for free. He is a classical finance mathematics professor who has watched three generations of Americans sign mortgages they could not read. Every lecture is one whiteboard and one marker. The annuity formula. The 1933 mortgage reform. The $1,625 interest on month one. The $271 of principal. His entire framework fits on a napkin. Interest each month equals the balance times the rate divided by twelve. On a $300,000 loan at 6.5 percent, month one is $1,625 of interest and $271 of principal. Ten years in, you have paid $182,000 in interest and $45,000 in principal. Half the loan is only gone after year twenty-one. An extra $200 a month cuts seven years and saves over $100,000. The thirty-year amortizing mortgage was invented in 1933 and nobody has rewritten it since. That last line alone is why every realtor pushes the 30-year loan and every bank officer hopes you never ask about the extra $200. "Interest each month equals the remaining balance times the annual rate divided by twelve." That is the one line every finance math class in the country opens with. It decides whether a 65-year-old is mortgage-free or still writing checks to the bank. Homebuyers sign a 30-year loan without running the amortization table and give the bank six dollars of interest for every dollar of equity in year one. Parents pay off the house the month before the grandkid graduates because nobody showed them the extra-principal rule. The lecture is free on the university's YouTube channel. The textbook is under eighty dollars. Almost no one signing a mortgage next Monday has watched the first twenty minutes. The napkin is free. The willingness to actually run the amortization table before you sign thirty years of your life away is the entire edge.

Zely

90,897 Aufrufe • vor 24 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.
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 Aufrufe • vor 4 Monaten

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 Aufrufe • vor 3 Monaten