An MIT professor spent 50 years teaching the math that runs Google, Netflix, and every AI on earth.
He never made a dollar from any of them.
His name is Gilbert Strang. He has been at MIT since 1962. His textbook is the one every engineering program assigns. His lectures have been watched over 10 million times.
MIT charges $85,000 a year to sit in that classroom.
He put everything on YouTube for free.
The lecture that matters most is number nine. It is 45 minutes. It is the one where the entire subject stops being procedures and starts being ideas.
Most people who study math learn to follow steps. Row reduce this. Find the eigenvalue. Apply the formula. They pass the exam and forget everything in six months.
Strang teaches why the steps exist.
Independence. Whether any combination of your vectors secretly produces zero. If it does, you are counting the same information twice without knowing it.
Basis. The exact right number of vectors to describe a space. Not one extra, not one missing. Like a key that fits one lock.
Dimension. Not a geometric intuition. A theorem. Every possible basis for the same space has the same number of vectors. That number is what dimension actually means. You can prove it has to be true.
That last idea runs everything.
Google's PageRank decides which pages matter by finding the dimension of a relationship space across billions of websites. Netflix compression finds the basis of your taste from three thousand ratings. Every large language model reduces billions of parameters by identifying what is truly independent and what is redundant.
The formula is always the same. Rank plus free variables equals total columns. Dimension of what matters plus dimension of what is noise equals everything you started with.
Strang derived it on a chalkboard in 1970. It has not changed since.
Every senior engineer at Google knows this. Every quant at a hedge fund knows this. Every researcher building the AI systems you use daily knows this.
The lecture that explains it is free on MIT OpenCourseWare.
The textbook is sixty dollars.
The math costs nothing. The willingness to sit with it for 45 minutes before you write a line of code is the thing almost nobody does.
That gap is the entire edge.
ORBIT ACHIEVED. 🚀
Vikram-1 Test Flight-1 has reached orbit. India's first privately developed orbital rocket has completed its final burn and injected its payloads into a ~450 km orbit, making India the third country in the world with private orbital launch capability.
History is made. 🇮🇳
#Vikram1 #JourneyToOrbit #SkyrootAerospace
i have the most heartbroken , horrible and unfortunate experience of this fort...
can't describe the personal loss in words..
it was a long weekend in the month of August 2025.. i forced my best friend james to visit this fort coz it's view of the valley in the rainy season was unmatched.
we visited the fort and reached to the top. once we sat there for a while james said, "bro this is the time to invest in stock market.. invest every penny you have in the market"
i invested every penny. even took loans for investment.
since then i have lost every savings i had and I'm currently running in huge debts.
on top of it, that motherfcker charged me consulting fees for advising me on stocks.😭😭
Root of most modern evils is late sleeping.
When humans used to sleep at 8pm, there was
lesser electricity use
lesser late night munching
Less time for family kalesh
Lesser late night depressive thoughts
Lesser partying, drinking & crime
Better work life balance
Think about it
Indians are blaming Infy/Murthy/Nandan for a lack of home-grown LLM. But that blame is misplaced. Infy/Murthy/Nandan could never start an AI company. They had money and they could have fund something. But that again, is their money and why should they risk it?
The real culprit here is Amitabh Kant and other IAS like him. These are the people, why I left India and started two companies in the US. These are the people, why much of Indian talent left to work for US based companies. And these folks did well.
Let's say the government gives me $10B and ask me to set up an AI lab in India. Am I qualified to do it? YES. Will I do it? HELL NO
And you would ask why? Some would say that I have a cozy life in the US. Some would say, I have deep connection in the US, including family. All of that is correct but does not pin point the reason why I wont start a company in India.
The real reason is Babu. Unlike, many In India who think competing for 1000 seats using some bullshit essay writing contest makes Babu some wizard, I have not come across one, I will hire as an analyst. Under no circumstance, I am gonna report to a babu (Happy report to Dharmendra Pradhan or Smriti Irani though). Also, under no circumstances, I will accept a position where I am unable to fire and put an IAS in jail if they reported to me and indulged in some corruption.
Till this babu problem is fixed, no NRI would come to India. If I were the CIA or CCP, trying to ensure that India does not gain AI independence, I would make every effort to protect Babu fiefdom.
Stadiums will be built and completed in 24 hours.
During half time, they'll change the direction the stadium is facing so that the sun doesn't enter the Chinese team's eyes.
Reason a family is happy when boy is born is coz they get one on whom all responsibilities, hopes, liabilities & dreams can be dumped
Thats the debt of man
When he fulfils dreams of parents he has repaid the principal & when he fulfils dreams of wife-kids, interest is repaid
Today’s weather is a powerful reminder that public pressure works, and when citizens collectively questioned the modi government on the heatwave crisis, it forced accountability, and the results are visible for all to see.
My faith in democracy is restored, today.
@Pivot2Centre Only reason iOS is bearable is because of mac… pixel is way ahead in simplicity and usefulness, give it a week at aleast… samsung is clumsy for people who don’t care for customisation…
There's a physicist at Stanford named Safi Bahcall who modeled this exact principle and the math is wild.
He calls it "phase transitions in human networks." When you're stationary, your probability of a lucky event is limited to your existing surface area: the people you already know, the places you already go, the ideas you've already been exposed to. Your opportunity window is fixed.
When you move, your collision rate with new nodes in a network increases nonlinearly. Double your movement (new conversations, new cities, new projects) and your probability of a serendipitous encounter doesn't double. It roughly quadruples. Because each new node connects you to their entire network, not just to them.
Richard Wiseman ran a 10-year study at the University of Hertfordshire tracking self-described "lucky" and "unlucky" people. The single biggest differentiator wasn't IQ, education, or family money. Lucky people scored significantly higher on one trait: openness to experience. They talked to strangers more, varied their routines more, and said yes to invitations at nearly twice the rate.
The "unlucky" group followed the same routes, ate at the same restaurants, and talked to the same 5 people. Their networks were closed loops. No new inputs, no new collisions.
Luck isn't random. Luck is surface area. And surface area is a function of movement.
The lobster emoji is doing more work than most people realize. Lobsters grow by shedding their shell when it gets too tight. The growth requires a period of total vulnerability. No protection, no armor, soft body exposed to the ocean.
That's the cost of movement nobody posts about. You have to be uncomfortable first. The new shell only hardens after you've already moved.