20 Slots

Here’s a video of Warren Buffett talking about choices. Applicable to investing as well in all other areas of life.

I keep coming back to this, timeless advice.

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The Best Explanation

I don’t know anything about Quantum Physics. I know about the terms but I don’t understand them. have read quite a few of the books, but it’s all a mystery.

Start your 2022 with this nifty little video that is one the best explanation of the double-slit experiment.

Do you know of any such videos, do share them with me. I love them.

What are We Overlooking Now?

The aeroplane would be at least in top five in the list of the most important inventions of the 20th century. The airplane changed everything. It started world wars, it ended world wars. It connected the world, bridging gaps between cities and rural communities; oceans and countries.

The Wright brothers, Orville and Wilbur, were two American brothers, inventors, and aviation pioneers who are credited with inventing and building the world’s the first successful airplane and making the first controlled, powered and sustained heavier-than-air human flight, on December 17, 1903.

From 1905 to 1907, the brothers developed their flying machine into the first practical fixed-wing aircraft. Although not the first to build and fly experimental aircraft, the Wright brothers were the first to invent aircraft controls that made the fixed-wing powered flight possible.

Last week 17th December, my Twitter stream was filled with pictures of wright brother’s achievement. This reminded me of the story I read in the book Psychology of Money by Morgan Housel.

The story of the Wright Brothers’ quest to build the first plane has an interesting twist. After they conquered flight, no one seemed to notice. Nobody seemed to care.

In his 1952 book on American history, Frederick Lewis Allen wrote:

Several years went by before the public grasped what the Wrights were doing; people were so convinced that flying was impossible that most of those who saw them flying about Dayton [Ohio] in 1905 decided that what they had seen must be some trick without significance – somewhat as most people today would regard a demonstration of, say, telepathy. It was not until May, 1908 – nearly four and a half years after the Wright’s first flight – that experienced reporters were sent to observe what they were doing, experienced editors gave full credence to these reporters’ excited dispatches, and the world, at last, woke up to the fact that human flight had been successfully accomplished.

Even after people caught on to the plane’s wonder, they underestimated it for years.

First, it was seen mainly as a military weapon. Then a rich person’s toy. Then, perhaps, used to transport a few people.

If such a momentous event was overlooked, what are we overlooking now?

Good Analogies and Math

I wish I had a math teacher like Mr. Azad back in my school. I liked math because of my math Teacher Mr. Neogi, but would have loved math more if these intuitions were highlighted when it was taught to us

If you are still interested, introduce yourself and your loved ones to Kalid Azad’s awesome website betterexplained.com

Here are his few thoughts on learning….

Ideas start hard and finish simple. Complicated ideas get easier. Why? Well, the idea is the same, our thinking process has improved. Multiplication flummoxed the Romans until a number system came along. I know that math, science, business, or any topic can become intuitive after overcoming the initial complexity

The best teacher is you – after you’ve learned the subject. You, 10 minutes after learning a new idea, are the perfect tutor for your current self. You overcame the difficulties and can explain the solution in language that makes sense. We can’t go back in time, but we can capture Aha! moments as soon as they happen. Some lucky soul can avoid the pothole we just climbed out of.

Get a map, not directions. Memorization isn’t understanding: you follow the recipe, apply the formula, and get from A to B without knowing why. Directions “work”, but what about wrong turns? A new destination? Helping a friend who’s lost at point C, not A? Better explained site is about sharing maps, the intuitions that get you from any point to any other point. We’ll leave the raw details for the encyclopedias.

Skin in The Game

If you take a look at my twitter timeline, many of the retweets are from Nassim Nicholas Taleb.

His work focuses on problems of randomness, probability, and uncertainty, and have read his books multiple times. I was tinking of rereading his last book “Skin in the Game”.

The embedded youtube video is his summary of the book for talks at google. Bookmark this and spend and hour to soak some of this ideas,

Few of the important bits from the book.

• For social justice, focus on symmetry and risk sharing. You cannot make profits and transfer the risks to others, as bankers and large corporations do. You cannot get rich without owning your own risk and paying for your own losses. Forcing skin in the game corrects this asymmetry better than thousands of laws and regulations.
• Ethical rules aren’t universal. You’re part of a group larger than you, but it’s still smaller than humanity in general.
• Minorities, not majorities, run the world. The world is not run by consensus but by stubborn minorities imposing their tastes and ethics on others.
• You can be an intellectual yet still be an idiot. “Educated philistines” have been wrong on everything from Stalinism to Iraq to low-carb diets.
• Beware of complicated solutions (that someone was paid to find). A simple barbell can build muscle better than expensive new machines.
• True religion is commitment, not just faith. How much you believe in something is manifested only by what you’re willing to risk for it.

Have you read this book?

Learning Fluid Simulation

Be it designing, analysis visualisation is a big part of engineering discipline. Such is it’s important that entire industries are based on providing physics based softwares.

But now we have a new toolkit to understand the complex behaviours of fluids and other. Neural networks are able to learn the patterns of smoke simulation etc without any pde’s. This is going to be a huge step in the industry.

Watch the video.

Can’t wait to see this technology to come to production.

Flying Through a Turbine Blade

Turbine blades are complicated and delicate pieces of engineering. Each blade has cooling channels that allow air to flow through and exit the porous shell of the blade, maintaining a stable temperature for the assembly. Due to their nature, each turbine blade requires a series of rigorous testing procedures in order to verify their structural integrity. Visual inspection is simple matter but capturing the integral structure is no easy task.

This is where neutron imaging can play a vital role. Neutron imaging is the process of making an image with neutrons. The resulting image is based on the neutron attenuation properties of the imaged object. The resulting images have much in common with industrial X-ray images, but since the image is based on neutron attenuating properties instead of X-ray attenuation properties, some things easily visible with neutron imaging may be very challenging or impossible to see with X-ray imaging techniques

Researchers from Oak Ridge National Laboratory (ORNL)’s Spallation Neutron Source (SNS) have recently utilized neutron imaging to examine the cooling channels and other inner workings of Inconel 718 turbine blades. Watch the video.

Amazing Machine Learning in 1950!! 

Watch this excellent videos from the 1950’s that demonstrates machine learning. Amazing!

Learnt about this from the book on Bell Labs that’s one of my top recommended read for anyone.

If you are interested in Machine Learning, don’t miss this other video on Algorithms and Techniques that are changing our world




Historical Primer on the Algorithms, and Techniques that are shaping our world

giants of machine learningLast year in April I attended a good course of machine learning which pushed my self learning to a new level. The course also introduced the language R and I have loved dipping with machine learning since then though most of it is done in python.

We had an excellent trainer with more than 20 years of experience in the field. I loved his 101 course in statistics as the prelude to the course and the practical examples that the trainer brought up while teaching us the mechanics of perceptrons, ridge regression etc.

What the course lacked was an historical perspective on machine learning and how it all came about as we now know it.

Found this excellent video that provides that perspective.

From the first meeting in summer of 1956 to the many A.I winters followed by the eventual emergence of deep learning, the below video provides an excellent historical primer on the algorithms, and techniques that are shaping our world.


The Discovery Of Gravitational Waves

There is huge news in the science world, Scientists announced that they have detected gravitational waves from the merging of two black holes in deep space – something predicted a century ago by Albert Einstein’s General Theory of Relativity.

A landmark day for  our understanding of the universe.

Here’s a video that explains it…

Living With The Black Swan


From about 2000 years, in many European languages, a black swan was a metaphor for something that was clearly impossible. And then black swans were found in Australia. So a black swan became a metaphor for a completely unexpected event actually occurs, one we had not imagined was impossible. Black swans appear regularly – Skype, iPhone, the Cloud…. If a black swan landed in your marketplace, would you recognize it? Most companies don’t. It’s no coincidence that the average age of companies – big companies – is falling fast, at the same time that black swan events are increasing.

You never see black swans coming – you have to be ready to respond when they arrive. 

This talk is about the kind of thinking and organizational structure that can help you live successfully with the black swans. It is about how to build an innovative, responsive, enduring organization

Goes well with this post on antifragile.

How a driverless car sees the road- See Machine Learning in Action

Haven’t seen anything so exciting for a long time. Exceptional progress in technology. Reminded me of the following quote by Eric Schmidt

Google’s self-driving cars and robots get a lot of press, but the company’s real future is in machine learning, the technology that enables computers to get smarter and more personal. – Eric Schmidt (Google Chairman)

Grab a cup of coffee and see the future!!!