Shri Hanuman, the cosmic form of energy, strength, intellect and devotion is always seen adorned with sindoor all his body.
But, behind this sindoori colour is a beautiful story which depicts the devotion of Hanuman for Shri Ram.

As Sita Mata adorned herself, she applied sindoor to her forehead. Inquisitive Hanuman observed this action and asked her the reason for doing so. She smiled and replied that by applying sindoor, she ensured a long life for her husband Shri Ram.
The more sindoor she applied, the longer Shri Ram's life would be.
Devoted Hanuman was excited to hear this. Because of his love for Shri Ram, he immediately went forward and smeared his entire body with sindoor, in an effort to ensure Rama’s immortality.
Shri Ram and Sita Mata saw that Hanuman was completly covered in sindoor from head to toe and was curious as to know why.
Hanumanji related his conversation with Sita Mata and thought that if a little pinch of sindoor could do so much for his Swamy,
imagine the protection if Hanuman covered his entire body with it.

Sita Mata, moved by the gesture, explained to Hanuman that applying sindoor was a tradition for married women. Shri Ram, too, was deeply touched by his bhakta's devotion.
Shri Ram is mighty pleased with his dear devotee’s ardent love and affection for him.

With eyes filled with happiness, Shri Ram blesses Hanuman and grants him a boon that whoever would worship Hanuman with sindoor would be blessed by Shri Ram’s eternal devotion and favour.
Since then, it has been a practise to worship Shri Hanuman with sindoor and seeking the benevolence of both the swami and his devotee.

Courtesy: various sites.

More from 𝕍𝕠𝕪𝕒𝕘𝕖𝕣🚣‍♂️

𝑩𝑯𝑨𝑮𝑾𝑨𝑨𝑵 𝑹𝑨𝑴'𝑺 𝑺𝑬𝑪𝑹𝑬𝑻 𝑵𝑨𝑴𝑬 𝑨𝑵𝑫 𝑻𝑯𝑬 𝑹𝑰𝑵𝑮

Sita Maa was now sobing in the Ashok vatika. She forgot about Bhagwan Ram as She was only thinking about death. This moment to Hanumanji felt like years.


कपि करि हृदयँ बिचार दीन्हि मुद्रिका डारि तब।
जनु असोक अंगार दीन्ह हरषि उठि कर गहेउ॥

Hanumanji bowed to Sitaji in His mind and dropped Bhagwan Ram’s ring. Sitaji sprang up with joy and took it in Her hand as though the Ashok tree had thrown a spark.

Sitaji recognised the ring with the name Ram engraved on it. She now remembered Ram and forgot death. She was in a dilemma. My Swamy's ring here? How? The Bhagwan is invincible so no one can attain this ring by conquering Him nor can it be re-made deceitfully.

At that time, Hanumanji began narrating Shri Ram Katha.

रामचंद्र गुन बरनैं लागा। सुनतहिं सीता कर दुख भागा॥
लागीं सुनैं श्रवन मन लाई। आदिहु तें सब कथा सुनाई

When Hanumanji narrates a katha, the listener’s sorrows leave immediately. Sitaji’s sadness disappeared.

She began to listen to the katha intently. When Hanumanji finished, Sitaji asked, “𝑾𝒉𝒚 𝒊𝒔 𝒕𝒉𝒆 𝒑𝒆𝒓𝒔𝒐𝒏 𝒘𝒉𝒐 𝒉𝒂𝒔 𝒏𝒂𝒓𝒓𝒂𝒕𝒆𝒅 𝒔𝒖𝒄𝒉 𝒂 𝒃𝒆𝒂𝒖𝒕𝒊𝒇𝒖𝒍 𝒌𝒂𝒕𝒉𝒂 𝒏𝒐𝒕 𝒑𝒓𝒆𝒔𝒆𝒏𝒕𝒊𝒏𝒈 𝒐𝒏𝒆𝒔𝒆𝒍𝒇?

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#தினம்_ஒரு_திருவாசகம்
தொல்லை இரும்பிறவிச் சூழும் தளை நீக்கி
அல்லல் அறுத்து ஆனந்தம் ஆக்கியதே – எல்லை
மருவா நெறியளிக்கும் வாதவூர் எங்கோன்
திருவாசகம் என்னும் தேன்

பொருள்:
1.எப்போது ஆரம்பித்தது என அறியப்படமுடியாத தொலை காலமாக (தொல்லை)

2. இருந்து வரும் (இரும்)


3.பிறவிப் பயணத்திலே ஆழ்த்துகின்ற (பிறவி சூழும்)

4.அறியாமையாகிய இடரை (தளை)

5.அகற்றி (நீக்கி),

6.அதன் விளைவால் சுகதுக்கமெனும் துயரங்கள் விலக (அல்லல் அறுத்து),

7.முழுநிறைவாய்த் தன்னுளே இறைவனை உணர்த்துவதே (ஆனந்த மாக்கியதே),

8.பிறந்து இறக்கும் காலவெளிகளில் (எல்லை)

9.பிணைக்காமல் (மருவா)

10.காக்கும் மெய்யறிவினைத் தருகின்ற (நெறியளிக்கும்),

11.என் தலைவனான மாணிக்க வாசகரின் (வாதவூரெங்கோன்)

12.திருவாசகம் எனும் தேன் (திருவா சகமென்னுந் தேன்)

முதல்வரி: பிறவி என்பது முன்வினை விதையால் முளைப்பதோர் பெருமரம். அந்த ‘முன்வினை’ எங்கு ஆரம்பித்தது எனச் சொல்ல இயலாது. ஆனால் ‘அறியாமை’ ஒன்றே ஆசைக்கும்,, அச்சத்துக்கும் காரணம் என்பதால், அவையே வினைகளை விளைவிப்பன என்பதால், தொடர்ந்து வரும் பிறவிகளுக்கு, ‘அறியாமையே’ காரணம்

அறியாமைக்கு ஆரம்பம் கிடையாது. நமக்கு ஒரு பொருளைப் பற்றிய அறிவு எப்போதிருந்து இல்லை? அதைச் சொல்ல முடியாது. அதனாலேதான் முதலடியில், ஆரம்பமில்லாத அஞ்ஞானத்தை பிறவிகளுக்குக் காரணமாகச் சொல்லியது. ஆனால் அறியாமை, அறிவின் எழுச்சியால், அப்போதே முடிந்து விடும்.
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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