MCap is a function of market sentiments. Balance sheet, cash flows, R&D execution, talent acquisition, regulatory compliance, M&As and so on....are a function of management/governance. Never mix the business with the stock. Stock is not the business. Business is not the stock :)

Stories of Guruvayurappan
Shri Krishna Leela

This is a beautiful story of Guruvayurappan. Once there lived in Guruvayur a poor family. Kitta, his wife & kids were struggling for their daily needs. With only a coconut tree in house, he earned a living by selling coconuts.

Kitta was from a low caste family. He was a great devotee of Guruvayurappan. Everyday before going to work he always prayed infront of a picture of Guruvayurappan in his house. His only wish was to worship at Guruvayur & have annadanam in temple. But he was not allowed there

It was Utsavam time in Guruvayur. From far behind kitta and family worshipped Guruvayurappan. Annadanam was given daily and no one was left empty stomach. Only Kitta didn't receive. That night, it was only Kitta's family who was sleeping without food. After temple nada closed

Shri Krishna, dressed himself as a Brahmin went to temple Kitchen. He packed food and went directly to kitta's house. Reaching Kitta's house, Shri Krishna told he was sent by a cook of Guruvayur temple and gave them the food he packed. Kitta and family was very happy seeing food.

When Kitta finished his food, Brahmin asked it will be better if he get a tender coconut( karikku)to drink. Kitta climbed the tree and gave all coconuts to him. After having 1 tender coconut, the Brahmin asked to bring remaining coconuts to Guruvayur temple the next day.

"The MAD Primer of Bigots, Extremists and Other Loose Ends," from September 1969.

Seen a couple of these panels make the rounds from time to time, so here's the complete set of 10 (something to amuse and/or offend almost everyone).

Chapter 1: The Super Patriot

Chapter 2: The Ku Klux Klansman

Chapter 3: The American Student

Chapter 4: The Right-Wing Extremist

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

Make them irrelevant > Hold a grudge

Holding a grudge is the easy thing to do.

But holding a grudge is not the right thing to do.

A grudge puts poison in your body & rewires your subconscious mind.

You consume the poison & destroy your reality while your attacker sleeps like a baby.