6 books to help you become the disciplined person you want to be:

1. Can’t Hurt Me by David Goggins

Lessons:

- Your mind will tell you “you’re done”, you’re not.
- Build a “cookie jar” and use it when times get tough
2. The Compound Effect by Darren Hardy

Lessons:

- Routines are crucial for momentum
- Small smart choices + consistency + time = radical difference
3. Mastery by Robert Greene

Lessons:

- Follow your calling / your purpose
- Lean into the resistance and let go of comfort
4. The War of Art by Steven Pressfield

Lessons:

- The hardest part is starting
- Act like a professional - do the work regardless
5. Make Your Bed by Admiral William McRaven

Lessons:

- Start the day by completing a task
- Setbacks are only permanent if you let them be
6. No Excuses by Brian Tracey

Lessons:

- Fear is normal, lean into it.
- Everyday you need to dedicate time to improving your skill at what you do.
I've put together the 7 steps needed to build discipline

From setting goals correctly to hacking your neuroscience.

Click the link below and build your discipline ↓
https://t.co/gdU9mJKK2C

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Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.

https://t.co/FBfXhUrH5d


Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.


...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.


Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.
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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