"Paid expert" who?
If Yudhiṣṭhira was a "2000-year-old fictional character" inspired by King Ashoka as Romila Thapar's & Devdutts of this world claim, how did Chanakya(320 BC)
the minister of Ashoka's grandfather,mention Yudhiṣṭhira in his Arthaśāstra?
Any ans devdutt Myth? https://t.co/iE5edIrks1
Paid gurus/experts of Hindutva are on a ROLL.... poor Kashmiri Pandits ... lost their homeland to invaders, now losing their philosophy to pseudoscience https://t.co/sImmn8vQ1u
— Devdutt Pattanaik (@devduttmyth) March 10, 2021
how did Pāṇini mention Yudhiṣṭhira in Aṣṭādhyāyī (8.3.95) dating back to atleast 2400 years?
How did Sātavāhanas mention him in inscriptions dating back to 2100 years?
Dropped ur brain somewhere?
Ashoka ruled 200 years after Buddha.
But this genius says Ashoka was born before Yudhiṣṭhira😂
Some of these manuscripts are still housed in Srinagar Museum.
These manuscripts were written on paper even before your Islam was born.
Written with ink on paper recording Saddharmapuṇḍarīka Sutra.
The language is Sanskrit & the script is (Proto) Sharada. Dates back to the 6th century CE +
Ancient paper manuscripts were found in remote arid Gilgit but not in a cultural center like Varanasi.
All thanks to the climate!
Testimony of foreign travelers like Yijing(7th CE) confirms the widespread use of paper.
It was Gandhi himself who described Savarkar as Veer (brave)
This is what Gandhi said:
"I met Savarkar in London
He is brave,clever,patriot,revolutionary.
Saw evil of the British Govt much earlier than I did
He is in Andaman(jail) for having loved India"
@MisraNityanand , a Sanskrit scholar and well-known author has studied Devdutt Pattanaik’s book titled “My Gita”.
This is an extensive interview where he gives point by point analysis of Myth’s work.
He points out numerous blunders in the works.
1) does not know even the BASICS of Sanskrit;
2) is obsessed with looking for sexual meanings, and has praised Wendy Doniger in the past;
4) has an artificially inflated brand name that cannot be justified on merit.
& I think he never will.
And even in Social Media this myth @devduttmyth keeps comment section off for not taking risk to expose himself😂
https://t.co/thehx7FsNo
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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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USC's Interactive Media & Games Division cancels all-star panel that included top-tier game developers who were invited to share their experiences with students. Why? Because there were no women on the
ElectronConf is a conf which chooses presenters based on blind auditions; the identity, gender, and race of the speaker is not known to the selection team. The results of that merit-based approach was an all-male panel. So they cancelled the conference.
Apple's head of diversity (a black woman) got in trouble for promoting a vision of diversity that is at odds with contemporary progressive dogma. (She left the company shortly after this
Also in the name of diversity, there is unabashed discrimination against men (especially white men) in tech, in both hiring policies and in other arenas. One such example is this, a developer workshop that specifically excluded men: https://t.co/N0SkH4hR35
USC's Interactive Media & Games Division cancels all-star panel that included top-tier game developers who were invited to share their experiences with students. Why? Because there were no women on the
ElectronConf is a conf which chooses presenters based on blind auditions; the identity, gender, and race of the speaker is not known to the selection team. The results of that merit-based approach was an all-male panel. So they cancelled the conference.
Apple's head of diversity (a black woman) got in trouble for promoting a vision of diversity that is at odds with contemporary progressive dogma. (She left the company shortly after this
Also in the name of diversity, there is unabashed discrimination against men (especially white men) in tech, in both hiring policies and in other arenas. One such example is this, a developer workshop that specifically excluded men: https://t.co/N0SkH4hR35
