Michael Pettis @michaelxpettis argues that it is not always obvious who (China or the U.S.) adjusts best to "turbulent changes."
Bitcoin answers that question.
Thread:

ADI SHANKAR AND SRI TOTAKACHARYA

Adi Shankaracharya chose his disciple Totakacharya to be the first head of the Math at Joshimath.
The Narsingh Mandir (Mandir of Sri Narasimha) in Joshimath is one of the 108 Divyadesams and also the home of Badrinath during the winter months.

Totakacharya was earlier a boy named ‘Giri’ and a devout disciple of Adi Shankaracharya. Unlike others, he was not known to be an expert in Shastras but his dedication to his Guru was complete and he used to listen to His discourses with utmost faith and devotion.
@SriRamya21

One morning as Adi Shankara and his disciples were getting ready for the discourse, Giri was delayed. The other disciples urged their Guru to commence the lesson on Bramhsutra Bhashya telling him that Giri would anyway not be able to comprehend its deep meaning.
@RajeAiyer

Adi Shankar responded “नायमात्मा प्रवचनेन लभ्यो न मेधया” – Atman cannot be attained through discourses or mere intellect.
He,then, awakened the supreme knowledge in Giri.
Giri spontaneously composed: श्री शङ्करदेशिकाष्टकम् extolling his Guru’s grace.

Adi Shankaracharya granted sanyasa to Giri and gave him the name Totakacharya.
The story of how Giri became Totakacharya is a great example of the importance of faith and devotion in your Guru and not the mere knowledge of the Shastras.
@DetheEsha

A thread on the life and achievements of Muhiyudin Sayyid Abdul Qadir Jillani RadiAllah who served Islam infinitely as the Reviver (Mujadid) of the 11th Century!

Muhiyudin Sayyid Abdul Qadir Jilani (RA) was one of the greatest Islamic Saint, Scholar, and Jurist. The honorific Muhiyudin denotes his status with many Sufis as a "reviver of religion". Jilani refers to his place of birth. He also carried the epithet Baghdadi.

[1]

Sheikh Abdul Qadir Jilani was born on the eve of the 2nd of Ramadan 470 AH. His birth was a great blessing for the Ummah. It was the arrival of the Sultan al-Awliya (King of the Awliya) of that era, which had been foretold for centuries before his birth.

[2]

When Hazrat Abdul Qadir Jillani was asked by someone what brought him to his high spiritual level, he said, The truthfulness which I promised to my mother. He related the following story:
"One day, on the eve of Eid al-Adhā, I went to my mother, who was then a widow and..

[3]

..and requested her, 'Send me to the path of Truth, give me permission to go to Baghdad to acquire knowledge, to be with the wise and those who are close to Allah. She cried, but she brought out 80 pieces of gold, which was all that my father had left as inheritance.

[4]

𝙎𝙝𝙖𝙧𝙞𝙣𝙜 𝙢𝙮 𝙬𝙞𝙨𝙙𝙤𝙢 𝑾𝒐𝒏'𝒕 𝒃𝒆 𝒔𝒖𝒓𝒑𝒓𝒊𝒔𝒆𝒅 𝒊𝒇 𝒕𝒐𝒎𝒐𝒓𝒓𝒐𝒘 𝒖 𝒓𝒆𝒂𝒅 𝒕𝒉𝒆 𝒔𝒂𝒎𝒆 𝒔𝒕𝒖𝒇𝒇 𝒊𝒏 50𝒌 𝒘𝒐𝒓𝒌𝒔𝒉𝒐𝒑 𝒐𝒓 𝒔𝒐𝒎𝒆𝒐𝒏𝒆 𝒎𝒂𝒏𝒂𝒈𝒊𝒏𝒈 𝒚𝒐𝒖𝒓 𝒎𝒐𝒏𝒆𝒚 𝒘𝒊𝒕𝒉 𝒔𝒂𝒎𝒆 𝒍𝒐𝒈𝒊𝒄
Simple and effective way 2 make Money

Idea 1:- Use pivot level like 14800 in case of nifty and sell 14800straddle monthly expiry (365+335) exit if nifty closes on daily basis below S1 or above R1

After closing below S1 if it closes above S1 next day or any day enter the same position again vice versa for R1

Idea2:- Use R1 and S1 corresponding strikes multiple
Incase of R1 15337 take 15300ce
N in case of S1 14221 use 14200pe
Sell both and hold till expiry or exit if nifty closes below S1 or above R1 around closing
If the same bounces above S1 and falls below R1 re-enfer same strikes

Use same criteria for nifty, usdinr and banknifty

(This is must)Use this margin rule for 1lot banknifty pair keep 4Lax margin
For nifty one lot keep 3Lax
For usdinr 100lots keep 4Lax

I bet you if you do this on consistent basis your ROI will be more than 70% on yearly basis.

Couldn't explain easier than this

Criticisms are most welcomed.

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.