#GuruPurnima #गुरु_पूर्णिमा #Thread

Changdev was a Yogi who had achieved several siddhis. He had defied death 42 times using his siddhis & hence lived for 1400 years.

He liked being respected by people.

1/8

One day he came to know about Sant Dynaneshwar. He wondered why such a young boy like Dynaneshwar was getting so much attention.

Slowly, he started feeling jealous of Dynaneshwar and his increasing popularity among people.

#GuruPurnima2022

2/8
Muktabai, Dnyaneshwar’s sister responded to Changdev saying, "Only a sant can understand a Sant. Even though your age is 1400 but you are still as blank as your letter". Reading this Changdev decided to meet Dnyaneshwar himself.

#गुरु_पूर्णिमा_पर्व_2022

3/8
Changdev had developed pride due to his extraordinary achievements. He came to visit Dnyaneshwar with pomp, riding a tiger, wielding a serpent as a whip.

Dnyaneshwar was sitting on a masonary wall with his siblings, when he came to know about Changdev’s arrival.
#गुरु_कृपा
4/8
Dnyaneshwar thought that he should personally welcome & honor Changdev.

He immediately instructed the wall to take them to Changdev. The wall started moving.

When Changadev saw this, he was convinced of Dnyaneshwar’s supremacy.

5/8
Changdev understood about his limited powers. He was able to control only the living beings, whereas Dnyaneshwar was able to control even the material objects. He immediately got down and bowed down to Dnyaneshwar and his siblings.

6/8
But Muktabai's words had a great effect on Changdev and Changdev could eradicate his weakness through intense sadhna.

Changdev wanted Dnyaneshwar as his Guru, but Dnyanoba said that Muktabai was the right spiritual guru instead of himself.

7/8
From this point on, Changdev took Muktabai as his spiritual guide, and many references to Muktabai can be found in the Abhangs that he wrote.

The Parabrahman had selected a Guru for Changdev via this incident.

#GuruShishyaParampara

8/8

More from Āyudhika

Today on the Birth Anniversary of Field Marshal Sam Manekshaw, I wish to narrate how our hero was treated by the Government then.

One of the several reasons, Sam Manekshaw was treated badly, is mentioned in the tweet below 👇🏽

#sammanekshaw


When Dr.Abdul Kalam was the President, he visited Coonoor. On reaching, he came to know that Field Marshall Sam Manekshaw was in the Military Hospital there. Dr.Kalam wanted to visit Sam, which was unscheduled. Arrangements were made.

#sammanekshaw

At the bedside, Kalam spent abt 15 minutes talking to Sam & enquiring abt his health.

Just before leaving Kalam asked Sam "Are you comfortable? Is there anything I could do? Do you have any Grievance ? or any requirement that would make you more comfortable?"

#sammanekshaw

Sam said "Yes Your Excellency, I have one grievance". Shocked with concern & anguish , APJ asked him what it was .

Sam replied "Sir, my grievance is that I am not able to get up & salute the most respected President of my beloved country".

#sammanekshaw

Dr. Kalam held Sam's hand as both were in tears.

But the remaining part of the tale with regards to this meeting is the most essential part.

#sammanekshaw

More from All

MASTER THREAD on Short Strangles.

Curated the best tweets from the best traders who are exceptional at managing strangles.

• Positional Strangles
• Intraday Strangles
• Position Sizing
• How to do Adjustments
• Plenty of Examples
• When to avoid
• Exit Criteria

How to sell Strangles in weekly expiry as explained by boss himself. @Mitesh_Engr

• When to sell
• How to do Adjustments
• Exit


Beautiful explanation on positional option selling by @Mitesh_Engr
Sir on how to sell low premium strangles yourself without paying anyone. This is a free mini course in


1st Live example of managing a strangle by Mitesh Sir. @Mitesh_Engr

• Sold Strangles 20% cap used
• Added 20% cap more when in profit
• Booked profitable leg and rolled up
• Kept rolling up profitable leg
• Booked loss in calls
• Sold only


2nd example by @Mitesh_Engr Sir on converting a directional trade into strangles. Option Sellers can use this for consistent profit.

• Identified a reversal and sold puts

• Puts decayed a lot

• When achieved 2% profit through puts then sold
कुंडली में 12 भाव होते हैं। कैसे ज्योतिष द्वारा रोग के आंकलन करते समय कुंडली के विभिन्न भावों से गणना करते हैं आज इस पर चर्चा करेंगे।
कुण्डली को कालपुरुष की संज्ञा देकर इसमें शरीर के अंगों को स्थापित कर उनसे रोग, रोगेश, रोग को बढ़ाने घटाने वाले ग्रह


रोग की स्थिति में उत्प्रेरक का कार्य करने वाले ग्रह, आयुर्वेदिक/ऐलोपैथी/होमियोपैथी में से कौन कारगर होगा इसका आँकलन, रक्त विकार, रक्त और आपरेशन की स्थिति, कौन सा आंतरिक या बाहरी अंग प्रभावित होगा इत्यादि गणना करने में कुंडली का प्रयोग किया जाता है।


मेडिकल ज्योतिष में आज के समय में Dr. K. S. Charak का नाम निर्विवाद रूप से प्रथम स्थान रखता है। उनकी लिखी कई पुस्तकें आज इस क्षेत्र में नए ज्योतिषों का मार्गदर्शन कर रही हैं।
प्रथम भाव -
इस भाव से हम व्यक्ति की रोगप्रतिरोधक क्षमता, सिर, मष्तिस्क का विचार करते हैं।


द्वितीय भाव-
दाहिना नेत्र, मुख, वाणी, नाक, गर्दन व गले के ऊपरी भाग का विचार होता है।
तृतीय भाव-
अस्थि, गला,कान, हाथ, कंधे व छाती के आंतरिक अंगों का शुरुआती भाग इत्यादि।

चतुर्थ भाव- छाती व इसके आंतरिक अंग, जातक की मानसिक स्थिति/प्रकृति, स्तन आदि की गणना की जाती है


पंचम भाव-
जातक की बुद्धि व उसकी तीव्रता,पीठ, पसलियां,पेट, हृदय की स्थिति आंकलन में प्रयोग होता है।

षष्ठ भाव-
रोग भाव कहा जाता है। कुंडली मे इसके तत्कालिक भाव स्वामी, कालपुरुष कुंडली के स्वामी, दृष्टि संबंध, रोगेश की स्थिति, रोगेश के नक्षत्र औऱ रोगेश व भाव की डिग्री इत्यादि।
How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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