1/ How (and why) to buy your first NFT—even if you’re skeptical. 🧵

2/ Buying NFTs is easier and less risky than it seems. I’ll walk you through with clarity.
3/ It’s OK to be skeptical. Look at it like this.

Potential downside: you “waste” a small amount of money
Potential upside: you make a life-changing amount of money

What’s guaranteed: NFT ownership, community access, and learning about this incredibly promising technology.
4/ Let’s go.

Most NFTs are bought and sold on the Ethereum network. That means you need to buy ETH.

The simplest way IMO is via the @coinbase app.

-Download and set up your account
-Tap the exchange button
-Select ETH
-Buy a small amount—this is a test run
5/ You can’t store NFTs on Coinbase. Time to install a digital wallet app that we can transfer your ETH to. I use @rainbowdotme.

During setup, you’ll get a “seed phrase.” This is an additional password for added security. Write it down, store it somewhere safe.

Never share it.
6/ In Rainbow, click “copy address.” This is like a bank account number. We’re going to bring it into Coinbase and make the transfer.

In Coinbase:

-Tap the exchange button
-Tap “Send”
-Select ETH and enter amount
-Paste your wallet address and send
7/ Wait patiently for funds to arrive in your Rainbow wallet. You’ll see a confirmation. Not so hard!

Now comes the fun part: it’s time to go shopping.
8/ We’re going to get an overview of the markets by viewing @opensea rankings at https://t.co/WErLhGkkIS

Key metrics to look for:

Volume—how much ETH is flowing in and out of the collection
24h% + 7d%—tell whether the project is accelerating or decelerating
9/ Browse until you find a project you like with a “floor price” you can afford.

The floor price is the minimum cost you will pay to buy your NFT. Also a key metric for the collection’s value.

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)
The best morning routine?

Starts the night before.

9 evening habits that make all the difference:

1. Write down tomorrow's 3:3:3 plan

• 3 hours on your most important project
• 3 shorter tasks
• 3 maintenance activities

Defining a "productive day" is crucial.

Or else you'll never be at peace (even with excellent output).

Learn more


2. End the workday with a shutdown ritual

Create a short shutdown ritual (hat-tip to Cal Newport). Close your laptop, plug in the charger, spend 2 minutes tidying your desk. Then say, "shutdown."

Separating your life and work is key.

3. Journal 1 beautiful life moment

Delicious tacos, presentation you crushed, a moment of inner peace. Write it down.

Gratitude programs a mindset of abundance.

4. Lay out clothes

Get exercise clothes ready for tomorrow. Upon waking up, jump rope for 2 mins. It will activate your mind + body.

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