THE ONLY TIME WHEN DURYODHAN AND DUSHASAN HELPED YUDHISHTIR I.E DURING RAJSUYA YAGYA / ARRAGEMENTS OF RAJSUYA YAGYA!!
https://t.co/0E8eGSiUmr
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#InspiredBySwamiAnjaninandanDass
#MahabharatPositivity - Sabha Parva
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WHY DID KING DAKSH BEHAVE NEGATIVELY TOWARDS SHIVA AND SATI.
It was actually the shakti form of devi which took birth as Sati in Daksh's house who acquired this name due to her satya swarup.
Everyone is aware of the story as to why Sati jumped into the Yagya fire.
But there is a story behind the reason for the negative behaviour of Daksh.
It so happened that once Rishi Durvasa went to Devi Jambunadeshwari and after her darshan recited the Mayabeej mantra. The devi happily gave him a divine Garland. Durvasa happily accepted it and left.
On his way he met Daksh who was eager to get the divine Garland. He requested the Rishi to give him that Garland. Knowing that Daksh was a good person, Durvasa gave the garland to him.
But Daksh casually kept the garland on his bed and went about doing his earthly instinctive work. Due to this insulting behaviour of Daksh for the divine garland, he developed a negative feeling for Shiva and Sati(Aadi Shakti).
Source - Devi puran
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It was actually the shakti form of devi which took birth as Sati in Daksh's house who acquired this name due to her satya swarup.
Everyone is aware of the story as to why Sati jumped into the Yagya fire.
But there is a story behind the reason for the negative behaviour of Daksh.
It so happened that once Rishi Durvasa went to Devi Jambunadeshwari and after her darshan recited the Mayabeej mantra. The devi happily gave him a divine Garland. Durvasa happily accepted it and left.
On his way he met Daksh who was eager to get the divine Garland. He requested the Rishi to give him that Garland. Knowing that Daksh was a good person, Durvasa gave the garland to him.
But Daksh casually kept the garland on his bed and went about doing his earthly instinctive work. Due to this insulting behaviour of Daksh for the divine garland, he developed a negative feeling for Shiva and Sati(Aadi Shakti).
Source - Devi puran
Instagram link👇
https://t.co/papGLZvcaI
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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)
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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Stan Lee’s fictional superheroes lived in the real New York. Here’s where they lived, and why. https://t.co/oV1IGGN8R6
Stan Lee, who died Monday at 95, was born in Manhattan and graduated from DeWitt Clinton High School in the Bronx. His pulp-fiction heroes have come to define much of popular culture in the early 21st century.
Tying Marvel’s stable of pulp-fiction heroes to a real place — New York — served a counterbalance to the sometimes gravity-challenged action and the improbability of the stories. That was just what Stan Lee wanted. https://t.co/rDosqzpP8i
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Stan Lee, who died Monday at 95, was born in Manhattan and graduated from DeWitt Clinton High School in the Bronx. His pulp-fiction heroes have come to define much of popular culture in the early 21st century.
Tying Marvel’s stable of pulp-fiction heroes to a real place — New York — served a counterbalance to the sometimes gravity-challenged action and the improbability of the stories. That was just what Stan Lee wanted. https://t.co/rDosqzpP8i
The New York universe hooked readers. And the artists drew what they were familiar with, which made the Marvel universe authentic-looking, down to the water towers atop many of the buildings. https://t.co/rDosqzpP8i
The Avengers Mansion was a Beaux-Arts palace. Fans know it as 890 Fifth Avenue. The Frick Collection, which now occupies the place, uses the address of the front door: 1 East 70th Street.
To people who are under the impression that you can get rich quickly by working on an app, here are the stats for https://t.co/az8F12pf02
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I have spent 1.5 months on this app. You can make more $ in 2 days.
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I'm still happy that I launched a paid app bcs it involved extra work:
- backend for processing payments (+ permissions, webhooks, etc)
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These things seemed super scary at first. I always thought it was way too much work and something would break. But I'm glad I persisted. So far the only problem I have is that mailgun is not delivering the license keys to certain domains like https://t.co/6Bqn0FUYXo etc. 👌
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📈 ~12000 vistis
☑️ 109 transactions
💰 353€ profit (285 after tax)
I have spent 1.5 months on this app. You can make more $ in 2 days.
🤷♂️
I'm still happy that I launched a paid app bcs it involved extra work:
- backend for processing payments (+ permissions, webhooks, etc)
- integration with payment processor
- UI for license activation in Electron
- machine activation limit
- autoupdates
- mailgun emails
etc.
These things seemed super scary at first. I always thought it was way too much work and something would break. But I'm glad I persisted. So far the only problem I have is that mailgun is not delivering the license keys to certain domains like https://t.co/6Bqn0FUYXo etc. 👌
omg I just realized that me . com is an Apple domain, of course something wouldn't work with these dicks