This is an absolute necessity.
You can have all the money and chicks, and it still wouldn’t matter if you’re weak.
A man needs virility to truly feel alive. You must be striving towards achieving top physical form at all times.
NON-NEGOTIABLE QUALITIES EVERY MAN MUST POSSESS
——read only if you’re a man
This is an absolute necessity.
You can have all the money and chicks, and it still wouldn’t matter if you’re weak.
A man needs virility to truly feel alive. You must be striving towards achieving top physical form at all times.
If you’re that guy at the table who is scared to say shit because he’s hesitant about the costs, then you’re gonna be on the losing side one too many times.
You need money so your decisions aren’t influenced by cost-calculation but by the benefits.
Doesn’t matter if you’re the laid back sarcastic type or the hyper-quick recoil kinda guy.
When verbal attacks come you must be capable of diffusing them and throwing punches back graciously.
Verbal prowess is a weapon.
A weak mind collapses at every instance of resistance.
If you have everything mentioned above and yet your mind is weak, you won’t even get a chance to win.
You will be attacked at every junction, you must solidify your mind and make iron your resolve.
Your money, strength and verbal prowess won’t matter if they can get you emotionally unstable and shaken in any way possible.
And trust, they will use any means possible.
Lastly, you must be quick in making decisions when needed.
You cannot be caught endlessly contemplating when action needs to be taken.
Endless hesitation makes you weak and signifies fear of dealing with consequences.
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More from All
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)
