🇺🇸🎅PATRIOTSTORYTIME🎅🇺🇸

‘Twas the night before Christmas, when all thro’ the House,

2Not a swampcreature was working, not even a mouse;

3The stock market was flush with all of Trump's flare,

4In hopes that St. Nicholas soon would be there;

/1/

(An extract from Field Marshal Sam Manekshaw, Soldiering with Dignity)

The man eventually destined to be free India's first Field Marshal was born on 3rd April 1914 at Amritsar. How did a Parsi couple settle for the holy city of the Sikhs? I once asked him and was told that in+

1899, his father recently qualified as a doctor and just married, could make no professional headway in Bombay, and was advised to try his luck at Lahore in the Punjab. With his young wife, he set off by train for Lahore. The long dusty and hot journey took five days and by the+

end of it, his young wife, who had never left the comforts and civilization of Bombay, was in hysterics and cried to go back. Poor Dr Manekshaw did all he could to comfort her, but as the train steamed into Amritsar, with her first sight of the Sikhs the young bride screamed her+

lungs out and refused to go any further. So they left the train at Amritsar, and there they stayed for forty-five years.

The Manekshaws had six children, four boys and two girls, and Sam was the fifth child. Sam had his schooling at Nainital's Sherwood College.+

After completing his schooling, he should have gone to England to pursue higher studies; this was the promise made to him by his father but, fortunately for the Indian Army, Dr Manekshaw felt that this particular son was far too young to be on his own in a foreign country, even+

8 March 1679 - The date on which 300 saffron clad warriors gave their life to protect temples from mugal army. Thread➡️
Aurangzeb's huge army, which was adorned with artillery, elephant and horses, under the leadership of Commander Darab Khan had marched to punish the ruler of/1

Khandela Raja Bahadur Singh, who became a rebel due to the anti-Hindu policies of Aurangzeb, and to destroy the temples of Shekhawati. Bahadur Singh to compete with such a large army, vacated Khandela for the purpose of conducting guerilla warfare and went Kot Sakrai /2

located in the inaccessible hills of Sakrai. People of Khandela also vacated Khandela and hid in nearby villages.

But some Shekhawat warriors did not like this as they knew that the royal army would not leave a single temple located in Shekhawati unbroken./3

so soon the teams of self-sacrificing Dharma-protectors Shekhawat heroes started reaching Khandela to protect the Dev temples.

Sujan Singh Shekhawat, the young thakur of Chhapoli, was coming back from his wedding when he heard about the imperial army from Shepherds./4

झिरमीर झिरमिर मेहा बरसे,मोरां छतरी छाई |
कुल में है तो आव सुजाण, फोज देवरे आई ||

if you are born in your glorious clan, then come, the army have come to destroy temple. /5

#Thread The legend of Ekadash Mukhi Hanuman ji...

Mahadev himself narrated the story of Ekadash Mukhi Hanuman ji to Maa Parvati. Once a great monster named Kalkarmukh performed the severe penance of Brahma ji.

Pleased with the austerity of the demon, Brahma ji gave him a boon that the person who will have eleven Heads like you and who was born on the day of your birth, only he/she will be able to kill you. No one else will kill you.

After getting a boon from Brahma ji, Kalkarmukh created a ruckus in all three lok. He invaded Swarg and snatched all the rights of the Devtas and became himself the king of Swarg.

All Devtagan came to Shri Rama and asked him for help. Hearing the agony of the Devtagan, Shri Ram called his supreme devotee Hanuman ji and said, "Pawan Putra, Sankatmochan".

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.

The 2020s will be known as the Remote Work decade

A few predictions of what is likely to emerge

[ a thread ] 💻🏠🌍

🏦Third Space: Office and Working from Home will be joined by somewhere close by that a number of people will use

Supermarkets or local bank branches should emerge as a convenient ubiquitous location option – if they are smart

⏰Asynchronous Work: Offices are instantaneous gratification distraction factories where synchronous work makes it impossible to get stuff done

Tools that enable asynchronous work are the most important thing globally remote teams need. A lot of startups will try to tackle this

⚽️Hobbie Renaissance: Remote working will lead to a rise in people participating in hobbies and activities which link them to people in their local community

This will lead to deeper, more meaningful relationships which overcome societal issues of loneliness and issolation

🚜Rural Living: World-class people will move to smaller cities, have a lower cost of living & higher quality of life

These regions must innovate quickly to attract that wealth. Better schools, faster internet connections are a must