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I took Gilbert Strang’s course at MIT, and it profoundly shaped how I think. One fun memory: an acappella group stormed into class on Valentine’s Day to serenade a student, Prof Strang was thoroughly amused! MIT CSAIL

Pinar Yanardag

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50,330 views • 2 months ago •via X (Twitter)

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Prof. Gilbert Strang from MIT giving a lecture on Linear Algebra - solving a system of two linear equations using a matrix. He really was a great teacher! I think he is now retired.

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matthew's thoughts about zb1's last concert as 9... 🦊 how was it during makcon (encore con d3)? it was fascinating really... i... on the 2nd day it felt like everything hit me at once, like "wah... this is really the last concert" so i was really sad on the 2nd day and on the last day i was sad but it was kinda... i looked at this (view on stage/overall surroundings?) for the last time and just took in the beauty of it. i was so thankful and i think i kinda just looked at it prettily “one last time”

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A 91-year-old professor is why Nvidia is worth $4 trillion. His name is Gilbert Strang. He teaches linear algebra at MIT. Every AI model on Earth runs on his course. The course has been free on YouTube since 2005. The videos have earned him nothing. MIT 18.06 opens with "The Geometry of Linear Equations." No advanced math. Strang takes a system of two equations, draws it two ways, and shows the class that a matrix is a picture, not an abstraction. The row picture is two lines that cross. The column picture is two arrows that sum to a target. Every neural network on Earth operates on the column picture. Strang first taught linear algebra at MIT in 1962. He wrote the textbook in 1976. It is on every serious engineer's shelf. Every quant fund, every ML lab, every rendering engine at Pixar is running his math. His central insight is that most people are taught matrices as bookkeeping. That is the first thing to unlearn. A matrix is a linear transformation. A linear transformation is a way of moving space. Once you see the space move, the math stops being algebra and becomes geometry. The Kalman filter is a linear system. PCA is a linear system. Every gradient step in a neural net is a matrix-vector product. GPT is a stack of matrix-vector products, each one a scene from MIT 18.06 running on a Blackwell GPU. He retired in 2023 after 61 years at MIT. The course is still up. Watched tens of millions of times. The chip is $40,000. Strang never asked for a royalty.

A 91-year-old professor is why Nvidia is worth $4 trillion. His name is Gilbert Strang. He teaches linear algebra at MIT. Every AI model on Earth runs on his course. The course has been free on YouTube since 2005. The videos have earned him nothing. MIT 18.06 opens with "The Geometry of Linear Equations." No advanced math. Strang takes a system of two equations, draws it two ways, and shows the class that a matrix is a picture, not an abstraction. The row picture is two lines that cross. The column picture is two arrows that sum to a target. Every neural network on Earth operates on the column picture. Strang first taught linear algebra at MIT in 1962. He wrote the textbook in 1976. It is on every serious engineer's shelf. Every quant fund, every ML lab, every rendering engine at Pixar is running his math. His central insight is that most people are taught matrices as bookkeeping. That is the first thing to unlearn. A matrix is a linear transformation. A linear transformation is a way of moving space. Once you see the space move, the math stops being algebra and becomes geometry. The Kalman filter is a linear system. PCA is a linear system. Every gradient step in a neural net is a matrix-vector product. GPT is a stack of matrix-vector products, each one a scene from MIT 18.06 running on a Blackwell GPU. He retired in 2023 after 61 years at MIT. The course is still up. Watched tens of millions of times. The chip is $40,000. Strang never asked for a royalty.

Ochob

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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 ↓

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I once took a beginner's animation class in college, and got to show one of my videos to the class. It was an interesting experience seeing my animation being played on a projectior and seeing people's reactions. #madnesscombat #animation

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this week at Replit ⠕ i built this cute valentine’s day app! Inspired by pauline digibouquet 🌺 this was the first time i actually sat down, took the time to mock up a design and then start building. i think it came out so much better this way 💓

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Keilar: I will vouch for One Piece, though. You should try that out. I was surprised by that. It's based on, I think, like a manga or something, but I ended up watching it and I was totally into it. It was so fun.

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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.

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Bryce Harper beautifully explained why the All-Star game atmosphere in Philadelphia was "PERFECT." "I think people saw how great of a community Philly is and how great of a city it is, and how they show out. I think it was perfect. They're booing everybody else, they're cheering everybody else. It's what Philly is. It's a lot of fun to play here. I love this place, I've said it since day one. I loved coming in here as an opposing player because you kind of understand the madness as well. It's always fun to come into this ballpark and play." (Via Dave Uram)

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Kemi Badenoch (father, GP, mother uni professor) explains how she became working class at McDonalds, "It wasn't working at McDonalds that make me working class, it was an example of how I had become working class" (😅 - sorry, those us in the middle classes call that having a holiday job, not going from GP father and uni professor mother middle class to working class) "That was my job.. I was going to college part time.. I had left Nigeria where I had a middle class life, you know driven to school every day" "The first time I went on a bus was in this country" "I couldn't even afford bus money most of the time, I had to walk everywhere, sometimes I was hungry, I was on my own, I had a place to live, I had to do everything myself" "If that is not working class, I don't know what working class is"

Kemi Badenoch (father, GP, mother uni professor) explains how she became working class at McDonalds, "It wasn't working at McDonalds that make me working class, it was an example of how I had become working class" (😅 - sorry, those us in the middle classes call that having a holiday job, not going from GP father and uni professor mother middle class to working class) "That was my job.. I was going to college part time.. I had left Nigeria where I had a middle class life, you know driven to school every day" "The first time I went on a bus was in this country" "I couldn't even afford bus money most of the time, I had to walk everywhere, sometimes I was hungry, I was on my own, I had a place to live, I had to do everything myself" "If that is not working class, I don't know what working class is"

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I think I just officially pulled my most insane luck ever! At the end of the day I was walking stuff into our backroom and knocked a bag into this stand. One pack fell on the ground and I decided to rip it for the hell of it... OMFG WHAT ARE THE ODDS!!! 😱😱😱

I think I just officially pulled my most insane luck ever! At the end of the day I was walking stuff into our backroom and knocked a bag into this stand. One pack fell on the ground and I decided to rip it for the hell of it... OMFG WHAT ARE THE ODDS!!! 😱😱😱

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“Dogogide, a famous notorious terrorist, didn’t know how to operate a phone, so I took advantage of that to extract his voice recordings and other evidence and saved them on a memory card. One day, the senator caught me recording. After discovering that I was educated, he ordered one of the bandits to kill me.” — Hassan

“Dogogide, a famous notorious terrorist, didn’t know how to operate a phone, so I took advantage of that to extract his voice recordings and other evidence and saved them on a memory card. One day, the senator caught me recording. After discovering that I was educated, he ordered one of the bandits to kill me.” — Hassan

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