I transformed my body in 6 months.

People charge INR 25,000+ for this information. It should be free.

Just follow these simple fat loss rules:

Exercise:
• 3-4x per week
• Weights > Cardio
• Compound movements first
• Cardio after weights

Don't focus on burning calories focus on getting stronger

Video tutorial:
https://t.co/9ORDnAXnH8
Nutrition:
• 20-25% calorie deficit
• 1.6-1.8 g/Kg Protein
• 2x fruits & veggies daily
• Limit eating out

Food quantity determines weight loss. Food quality determines health.

Video tutorial:
https://t.co/SWD26Vs1wx
Sleep:
• Fix wake up time
• Sleep 8 hrs
• No caffeine after 2 pm
• Dinner 2-3 hours before bed

Have a routine, and be consistent. Routines save your time and maximise your energy.

Video Tutorial:
https://t.co/vtik1fKPv6
Simple is beautiful.

Don't bookmark and forget.

• Commit to the end goal
• Disappear for 6 months
• Build yourself in private

Before you go, I would love to give you 10 bonus tips to make you unstoppable-

(with step-by-step video tutorials)
Help me reach more people in 2 simple steps:

1. Retweet the first tweet

2. Follow me @CoachHypertroph to not miss my future threads

Once done, I will DM you:

✅ 5 bonus tips to boost fat burning

✅ 5 supplement suggestions
(the only 5 worth buying)
Please Note:

• Team will send you a DM in 24 hours once you retweet & follow. ✅

• DM me "Done" if you do not receive the courses within 24 hours and I will make sure you get it. 🙏🏻

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)

You May Also Like

Following @BAUDEGS I have experienced hateful and propagandist tweets time after time. I have been shocked that an academic community would be so reckless with their publications. So I did some research.
The question is:
Is this an official account for Bahcesehir Uni (Bau)?


Bahcesehir Uni, BAU has an official website
https://t.co/ztzX6uj34V which links to their social media, leading to their Twitter account @Bahcesehir

BAU’s official Twitter account


BAU has many departments, which all have separate accounts. Nowhere among them did I find @BAUDEGS
@BAUOrganization @ApplyBAU @adayBAU @BAUAlumniCenter @bahcesehirfbe @baufens @CyprusBau @bauiisbf @bauglobal @bahcesehirebe @BAUintBatumi @BAUiletisim @BAUSaglik @bauebf @TIPBAU

Nowhere among them was @BAUDEGS to find