Technology
A Visual Guide to Profile Picture NFTs
A Visual Guide to Profile Picture NFTs
How do you represent yourself on social media? For most people it’s a selfie, a photo with their friends, or a picture of their pet—but what about a digitally-created character?
Profile picture NFTs are pieces of digital artwork that people use to express themselves online. Each item is a depiction of a character’s face, and has a unique mix of attributes that gives it a sense of collectability.
Like other NFTs, they’re secured on a blockchain and can be bought and sold for cryptocurrency. And while there’s nothing to stop you from screenshotting an NFT and using it for your own profile, the market for these items continues to grow.
To learn more, this infographic explains how three well-known profile picture NFT collections were created.
CryptoPunks
CryptoPunks are commonly regarded as one of the first examples of NFTs. The collection consists of 10,000 unique “punks” and was released in 2017 by Larva Labs.
One interesting fact is that these NFTs were originally given out for free—today, they are worth thousands or millions of dollars each. According to OpenSea, one of the largest NFT marketplaces, CryptoPunk #3100 was sold for 4,200 Ethereum (roughly $7.6 million) in March 2021.
A large component of #3100’s perceived value is its blue alien skin, which only eight other punks have. In other words, it’s incredibly rare. The following table shows the species distribution of the CryptoPunks collection.
Species | % Rarity |
---|---|
Human | 98.7% |
Zombie | 0.88% |
Ape | 0.24% |
Alien | 0.09% |
In addition to species, each punk features a unique mix of facial accessories or “attributes”. Examples include a big beard (found in only 146 punks), and a VR headset (found in 332 punks).
Bored Ape Yacht Club
Next is the Bored Ape Yacht Club (BAYC), another collection of 10,000 unique profile picture NFTs. Unlike CryptoPunks, BAYC NFTs show both the head and torso of a character (in this case, an ape).
This opens up many combinations of clothing items, facial features, and accessories. Altogether, there are seven categories of attributes: Background color, Clothes, Earring, Eyes, Fur, Hat, and Mouth.
The following table lists some examples of BAYC attributes, and their % rarity. To explore further, visit the BAYC gallery.
Attribute Category | Attribute Name | % Rarity |
---|---|---|
Fur | Solid Gold | 0.05% |
Fur | White | 3.9% |
Hat | King's Crown | 0.02% |
Hat | Stuntman Helmet | 1.6% |
BAYC NFTs also grant access to members-only benefits. This includes access to a collaborative graffiti board, as well as other NFTs from spin-off collections like the Bored Ape Kennel Club (BAKC). As its name suggests, the BAKC is a collection of dogs, rather than apes.
Cool Cats NFT
The last collection is Cool Cats NFT, which again amounts to 10,000 images. Cool Cats were minted at a cost of 0.06 Ethereum each, or roughly $200. The act of “minting” an NFT is similar to when metal coins are entered into circulation.
Each Cool Cat NFT is a depiction of a cartoon cat with a varying number of facial features, hats, and shirts. Altogether, there are over 300,000 possible options that could be included.
This collection also features nine “hidden” cats which boast one-off features. #500 is an upside down cat floating in a blue sky background, while #2288 is simply a skeleton.
Building Your Identity in the Metaverse
A criticism of today’s social media is that there’s little room to express yourself.
Think back, for a moment, to the days of MySpace. Users could spend hours customizing their profile page, adding music, art, and whatever else they felt was an expression of themselves. As the platform’s name implied, it was a space that belonged to you.
The metaverse offers something similar. To take part in a virtual universe, you need an avatar—a digital manifestation of yourself. Avatars will be highly customizable and far less constrained by the limitations of the real world.
If you’re having trouble imagining this, check out VR Chat, a virtual reality game where players socialize as aliens, monsters, and other “interesting” beings.
This may help to explain the recent craze around profile picture NFTs. When the metaverse arrives, these NFTs could become a user’s avatar. After all, who wouldn’t want to have blue alien skin?
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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