paraskumar27

Marketeer who brings change to the world through #160Char

when life gives you lemons make Sikanji, and beat the heat #summer #nitk

[Suraj Sharma @suraj_sharma14]

How to build your first AI agent (Full guide)

Bookmark this thank me later!

[Mathematica @mathemetica]

From the Pythagorean theorem a² + b² = c² around 530 BC to the Black-Scholes equation used in finance, this infographic presents 17 equations that changed the world as outlined by Ian Stewart.

Each entry shows the formula alongside its creator and year, spanning calculus, gravity, relativity, quantum mechanics, information theory, and chaos.

In practice, they form the foundation for GPS navigation, smartphone signals, weather prediction models, secure data transmission, and options pricing in global markets.

[Math Files @Math_files]

17 equations that changed the world by Ian Stewart

[Reads with Ravi @readswithravi]

An African Proverb:

[Curious Minds @CuriousMindsHub]

20 hard questions that will transform your life

[Forbes @Forbes]

Quote of the day. #qotd

[paraskumar27 @paraskumar27]

Day 160/365

"Progress Compounds"

Bill Ackman

[Ihtesham Ali @ihtesham2005]

Two math olympiad champions wrote a training manual in 1993 on two old Macintosh computers, and every American kid who has won a major math competition in the last decade learned to think from it.

Their names are Sandor Lehoczky and Richard Rusczyk. The book is called The Art of Problem Solving. Most people in math know it as AoPS.

Since 2015, every single member of the US International Math Olympiad team has been an AoPS student. Not most of them. Every one.

That statistic sounds impossible until you understand what the book actually does.

Lehoczky and Rusczyk were not professors. They were competitors. Lehoczky earned the sole perfect AIME score in 1990 and led the national first place team. Rusczyk was a USA Mathematical Olympiad winner and a perfect AIME scorer in 1989. They had both survived the same brutal selection process the book was designed to train students for.

And the first thing they decided was that almost every existing math textbook was teaching the wrong thing.

School math gives you formulas. You memorize them. You apply them. You pass the test. Then you sit down in front of a real competition problem and the formula does not apply, and you have nothing underneath it.

That is the gap. The gap is not knowledge. It is thinking.

The entire premise of AoPS is that problem-solving is a transferable skill, not a bag of memorized tricks. A student who genuinely understands why a technique works can adapt it, combine it with something else, and deploy it in a context they have never seen before. A student who only memorized the technique freezes the moment the problem looks different.

The book teaches the difference between a formula and a method.

A formula tells you what to compute. A method tells you how to see. The students who win olympiads are not the ones who know more formulas. They are the ones who have trained themselves to look at an unfamiliar problem and recognize its structure. To see that this problem is secretly asking the same question as a problem they solved three weeks ago, just dressed differently.

Rusczyk calls this "learning to read the problem." Not reading the words. Reading what the problem is actually asking underneath the words.

The second thing they built into the book is tolerance for being stuck.

Most students treat confusion as a signal to stop. The book treats confusion as the starting point. Every chapter pushes students past the point where the obvious approach runs out. That moment of running out is not failure. That is where the actual thinking begins.

Lehoczky once described it this way. If you can solve a problem quickly, you are not learning. You are performing. Learning only happens when you are past the edge of what you already know.

The book was written on old Macintosh computers in 1993. Rusczyk launched the AoPS website in 2003. Today the community has over one million users. Thousands of students enroll in AoPS online courses every year. Most winners of every major American math competition are AoPS alumni.

A platform built by two kids who were good at math competitions has become the infrastructure that produces the next generation of mathematicians, engineers, and scientists who are good at thinking.

The formulas you memorized in school will eventually be obsolete.

The thinking you trained will not.

What is one problem in your life right now that you have been avoiding because you do not yet know the right formula to solve it?

[Booksforaspirants @AspirantsBooks]

Habits that will change your life

[paraskumar27 @paraskumar27]

@_Books_Addicted @shaneparrish Amen

[Vala Afshar @ValaAfshar]

I consistently see people rise in life who not the smartest, sometimes not even the most delivery, but they are learning machines.

—Charlie Munger

[Tony Fadell @tfadell]

Nobel Prize winning economist Kenneth Arrow wrote about "learning by doing" decades ago. He knew that productivity and expertise improve through experience.

The messy, repetitive works is often where you learn the patterns that eventually become judgment. Knowledge can be taught, but judgement is built through lived experience.

The first draft you rewrite. The customer call you listen to. The bug you fix and fix again. The factory floor you walk.

Small decisions you make every day teach you judgement. And, judgement is the thing everyone wants from senior people in the workplace. If we automate away every entry-level task without replacing the learning loop, we are removing a part of the process that creates experts.

The goal should be to use AI to accelerate learning, remove friction, and give people better tools to build expertise faster.

https://t.co/MpFZzCk1An

Thanks @Fortune & @tbove4 for sharing this story. Link in the comments.

[Physics In History @PhysInHistory]

To Explain the World by Steven Weinberg ✍️

[Math Cafe @Riazi_Cafe_en]

"Foundations of the Theory of Probability"
by Andrey Kolmogorov

Kolmogorov introduced the modern axiomatic foundations of probability theory in this book.

Archive link: https://t.co/Vy5JFLVhjo

[Jaynit @jaynitx]

Elon Musk literally revealed the fastest way to become irreplaceable in the AI era:

[Rian Doris @RianSweetDoris]

https://t.co/A9bvuDe5Gk

[Curious Minds @CuriousMindsHub]

Parkinson's Law:

[liminal @Liminal1988]

How to become your best self