Integrity
Write
Loading...
Jari Roomer

Jari Roomer

3 years ago

5 ways to never run out of article ideas

More on Productivity

Asher Umerie

Asher Umerie

3 years ago

What is Bionic Reading?

Senses help us navigate a complicated world. They shape our worldview - how we hear, smell, feel, and taste. People claim a sixth sense, an intuitive capacity that extends perception.

Our brain is a half-pool of grey and white matter that stores data from our senses. Brains provide us context, so zombies' obsession makes sense.

Bionic reading uses the brain's visual information and context to simplify text comprehension.

Stay with me.

What is Bionic Reading?

Bionic reading is a software application established by Swiss typographic designer Renato Casutt. The term honors the brain (bio) and technology's collaboration to better text comprehension.

The image above shows two similar paragraphs with bionic reading.

Notice anything yet?

This Twitter user did.

I did too...

Image text describes bionic reading-

New method to aid reading by using artificial fixation points. The reader focuses on the highlighted starting letters, and the brain completes the word. 

How is Bionic Reading possible?

Do you remember seeing social media posts asking you to stare at a black dot for 30 seconds (or more)? You blink and see an after-image on your wall.

Our brains are skilled at identifying patterns and'seeing' familiar objects, therefore optical illusions are conceivable.

Brain and sight collaborate well. Text comprehension proves it.

Considering evolutionary patterns, humans' understanding skills may be cosmic luck.
Scientists don't know why people can read and write, but they do know what reading does to the brain.

One portion of your brain recognizes words, while another analyzes their meaning. Fixation, saccade, and linguistic transparency/opacity aid.

Let's explain some terms.

The Bionic reading website compares these tools.

Text highlights lead the eye. Fixation, saccade, and opacity can transfer visual stimuli to text, changing typeface.

## Final Thoughts on Bionic Reading

I'm excited about how this could influence my long-term assimilation and productivity.

This technology is still in development, with prototypes working on only a few apps. Like any new tech, it will be criticized.

I'll be watching Bionic Reading closely. Comment on it!

Leonardo Castorina

Leonardo Castorina

3 years ago

How to Use Obsidian to Boost Research Productivity

Tools for managing your PhD projects, reading lists, notes, and inspiration.

As a researcher, you have to know everything. But knowledge is useless if it cannot be accessed quickly. An easy-to-use method of archiving information makes taking notes effortless and enjoyable.
As a PhD student in Artificial Intelligence, I use Obsidian (https://obsidian.md) to manage my knowledge.

The article has three parts:

  1. What is a note, how to organize notes, tags, folders, and links? This section is tool-agnostic, so you can use most of these ideas with any note-taking app.
  2. Instructions for using Obsidian, managing notes, reading lists, and useful plugins. This section demonstrates how I use Obsidian, my preferred knowledge management tool.
  3. Workflows: How to use Zotero to take notes from papers, manage multiple projects' notes, create MOCs with Dataview, and more. This section explains how to use Obsidian to solve common scientific problems and manage/maintain your knowledge effectively.

This list is not perfect or complete, but it is my current solution to problems I've encountered during my PhD. Please leave additional comments or contact me if you have any feedback. I'll try to update this article.
Throughout the article, I'll refer to your digital library as your "Obsidian Vault" or "Zettelkasten".
Other useful resources are listed at the end of the article.

1. Philosophy: Taking and organizing notes

Carl Sagan: “To make an apple pie from scratch, you must first create the universe.”

Before diving into Obsidian, let's establish a Personal Knowledge Management System and a Zettelkasten. You can skip to Section 2 if you already know these terms.
Niklas Luhmann, a prolific sociologist who wrote 400 papers and 70 books, inspired this section and much of Zettelkasten. Zettelkasten means “slip box” (or library in this article). His Zettlekasten had around 90000 physical notes, which can be found here.
There are now many tools available to help with this process. Obsidian's website has a good introduction section: https://publish.obsidian.md/hub/

Notes

We'll start with "What is a note?" Although it may seem trivial, the answer depends on the topic or your note-taking style. The idea is that a note is as “atomic” (i.e. You should read the note and get the idea right away.
The resolution of your notes depends on their detail. Deep Learning, for example, could be a general description of Neural Networks, with a few notes on the various architectures (eg. Recurrent Neural Networks, Convolutional Neural Networks etc..).
Limiting length and detail is a good rule of thumb. If you need more detail in a specific section of this note, break it up into smaller notes. Deep Learning now has three notes:

  • Deep Learning
  • Recurrent Neural Networks
    - Convolutional Neural Networks

Repeat this step as needed until you achieve the desired granularity. You might want to put these notes in a “Neural Networks” folder because they are all about the same thing. But there's a better way:

#Tags and [[Links]] over /Folders/

The main issue with folders is that they are not flexible and assume that all notes in the folder belong to a single category. This makes it difficult to make connections between topics.
Deep Learning has been used to predict protein structure (AlphaFold) and classify images (ImageNet). Imagine a folder structure like this:

- /Proteins/ 
     - Protein Folding
- /Deep Learning/
     - /Proteins/ 

Your notes about Protein Folding and Convolutional Neural Networks will be separate, and you won't be able to find them in the same folder.
This can be solved in several ways. The most common one is to use tags rather than folders. A note can be grouped with multiple topics this way. Obsidian tags can also be nested (have subtags).

You can also link two notes together. You can build your “Knowledge Graph” in Obsidian and other note-taking apps like Obsidian.


My Knowledge Graph. Green: Biology, Red: Machine Learning, Yellow: Autoencoders, Blue: Graphs, Brown: Tags.


My Knowledge Graph and the note “Backrpropagation” and its links.


Backpropagation note and all its links

Why use Folders?

Folders help organize your vault as it grows. The main suggestion is to have few folders that "weakly" collect groups of notes or better yet, notes from different sources.
Among my Zettelkasten folders are:


My Zettelkasten's 5 folders

They usually gather data from various sources:

MOC: Map of Contents for the Zettelkasten.
Projects: Contains one note for each side-project of my PhD where I log my progress and ideas. Notes are linked to these.
Bio and ML: These two are the main content of my Zettelkasten and could theoretically be combined.
Papers: All my scientific paper notes go here. A bibliography links the notes. Zotero .bib file
Books: I make a note for each book I read, which I then split into multiple notes.

Keeping images separate from other files can help keep your main folders clean.

I will elaborate on these in the Workflow Section.

My general recommendation is to use tags and links instead of folders.

Maps of Content (MOC) 

Making Tables of Contents is a good solution (MOCs).
These are notes that "signposts" your Zettelkasten library, directing you to the right type of notes. It can link to other notes based on common tags. This is usually done with a title, then your notes related to that title. As an example:

An example of a Machine Learning MOC generated with Dataview.

As shown above, my Machine Learning MOC begins with the basics. Then it's on to Variational Auto-Encoders. Not only does this save time, but it also saves scrolling through the tag search section.
So I keep MOCs at the top of my library so I can quickly find information and see my library. These MOCs are generated automatically using an Obsidian Plugin called Dataview (https://github.com/blacksmithgu/obsidian-dataview).
Ideally, MOCs could be expanded to include more information about the notes, their status, and what's left to do. In the absence of this, Dataview does a fantastic job at creating a good structure for your notes.
In the absence of this, Dataview does a fantastic job at creating a good structure for your notes.

2. Tools: Knowing Obsidian

Obsidian is my preferred tool because it is free, all notes are stored in Markdown format, and each panel can be dragged and dropped. You can get it here: https://obsidian.md/

Obsidian interface. 

Obsidian is highly customizable, so here is my preferred interface:


The theme is customized from https://github.com/colineckert/obsidian-things

Alternatively, each panel can be collapsed, moved, or removed as desired. To open a panel later, click on the vertical "..." (bottom left of the note panel).

My interface is organized as follows:

How my Obsidian Interface is organized.

Folders/Search:
This is where I keep all relevant folders. I usually use the MOC note to navigate, but sometimes I use the search button to find a note.

Tags:
I use nested tags and look into each one to find specific notes to link.

cMenu:
Easy-to-use menu plugin cMenu (https://github.com/chetachiezikeuzor/cMenu-Plugin)

Global Graph:
The global graph shows all your notes (linked and unlinked). Linked notes will appear closer together. Zoom in to read each note's title. It's a bit overwhelming at first, but as your library grows, you get used to the positions and start thinking of new connections between notes.

Local Graph:
Your current note will be shown in relation to other linked notes in your library. When needed, you can quickly jump to another link and back to the current note.

Links:
Finally, an outline panel and the plugin Obsidian Power Search (https://github.com/aviral-batra/obsidian-power-search) allow me to search my vault by highlighting text.

Start using the tool and worry about panel positioning later. I encourage you to find the best use-case for your library.

Plugins

An additional benefit of using Obsidian is the large plugin library. I use several (Calendar, Citations, Dataview, Templater, Admonition):
Obsidian Calendar Plugin: https://github.com/liamcain
It organizes your notes on a calendar. This is ideal for meeting notes or keeping a journal.

Calendar addon from hans/obsidian-citation-plugin
Obsidian Citation Plugin: https://github.com/hans/
Allows you to cite papers from a.bib file. You can also customize your notes (eg. Title, Authors, Abstract etc..)

Plugin citation from hans/obsidian-citation-plugin
Obsidian Dataview: https://github.com/blacksmithgu/
A powerful plugin that allows you to query your library as a database and generate content automatically. See the MOC section for an example.
Allows you to create notes with specific templates like dates, tags, and headings.

Templater. Obsidian Admonition: https://github.com/valentine195/obsidian-admonition
Blocks allow you to organize your notes.

Plugin warning. Obsidian Admonition (valentine195)
There are many more, but this list should get you started.

3. Workflows: Cool stuff

Here are a few of my workflows for using obsidian for scientific research. This is a list of resources I've found useful for my use-cases. I'll outline and describe them briefly so you can skim them quickly.
3.1 Using Templates to Structure Notes
3.2 Free Note Syncing (Laptop, Phone, Tablet)
3.3 Zotero/Mendeley/JabRef -> Obsidian — Managing Reading Lists
3.4 Projects and Lab Books
3.5 Private Encrypted Diary

3.1 Using Templates to Structure Notes

Plugins: Templater and Dataview (optional).
To take effective notes, you must first make adding new notes as easy as possible. Templates can save you time and give your notes a consistent structure. As an example:


An example of a note using a template.

### [[YOUR MOC]]
# Note Title of your note
**Tags**:: 
**Links**::

The top line links to your knowledge base's Map of Content (MOC) (see previous sections). After the title, I add tags (and a link between the note and the tag) and links to related notes.
To quickly identify all notes that need to be expanded, I add the tag “#todo”. In the “TODO:” section, I list the tasks within the note.
The rest are notes on the topic.
Templater can help you create these templates. For new books, I use the following template:

### [[Books MOC]]
# Title
**Author**:: 
**Date::
**Tags:: 
**Links::


A book template example.

Using a simple query, I can hook Dataview to it.

dataview  
table author as Author, date as “Date Finished”, tags as “Tags”, grade as “Grade”  
from “4. Books”  
SORT grade DESCENDING


using Dataview to query templates.

3.2 Free Note Syncing (Laptop, Phone, Tablet)

No plugins used.

One of my favorite features of Obsidian is the library's self-contained and portable format. Your folder contains everything (plugins included).

Ordinary folders and documents are available as well. There is also a “.obsidian” folder. This contains all your plugins and settings, so you can use it on other devices.
So you can use Google Drive, iCloud, or Dropbox for free as long as you sync your folder (note: your folder should be in your Cloud Folder).

For my iOS and macOS work, I prefer iCloud. You can also use the paid service Obsidian Sync.
3.3 Obsidian — Managing Reading Lists and Notes in Zotero/Mendeley/JabRef
Plugins: Quotes (required).

3.3 Zotero/Mendeley/JabRef -> Obsidian — Taking Notes and Managing Reading Lists of Scientific Papers

My preferred reference manager is Zotero, but this workflow should work with any reference manager that produces a .bib file. This file is exported to my cloud folder so I can access it from any platform.

My Zotero library is tagged as follows:

My reference manager's tags

For readings, I usually search for the tags “!!!” and “To-Read” and select a paper. Annotate the paper next (either on PDF using GoodNotes or on physical paper).
Then I make a paper page using a template in the Citations plugin settings:


An example of my citations template.

Create a new note, open the command list with CMD/CTRL + P, and find the Citations “Insert literature note content in the current pane” to see this lovely view.


Citation generated by the article https://doi.org/10.1101/2022.01.24.22269144

You can then convert your notes to digital. I found that transcribing helped me retain information better.

3.4 Projects and Lab Books

Plugins: Tweaker (required).
PhD students offering advice on thesis writing are common (read as regret). I started asking them what they would have done differently or earlier.

“Deep stuff Leo,” one person said. So my main issue is basic organization, losing track of my tasks and the reasons for them.
As a result, I'd go on other experiments that didn't make sense, and have to reverse engineer my logic for thesis writing. - PhD student now wise Postdoc

Time management requires planning. Keeping track of multiple projects and lab books is difficult during a PhD. How I deal with it:

  • One folder for all my projects
  • One file for each project
    I use a template to create each project
### [[Projects MOC]]  
# <% tp.file.title %>  
**Tags**::  
**Links**::  
**URL**::  
**Project Description**::## Notes:  
### <% tp.file.last_modified_date(“dddd Do MMMM YYYY”) %>  
#### Done:  
#### TODO:  
#### Notes

You can insert a template into a new note with CMD + P and looking for the Templater option.

I then keep adding new days with another template:

### <% tp.file.last_modified_date("dddd Do MMMM YYYY") %>  
#### Done:  
#### TODO:  
#### Notes:

This way you can keep adding days to your project and update with reasonings and things you still have to do and have done. An example below:


Example of project note with timestamped notes.

3.5 Private Encrypted Diary

This is one of my favorite Obsidian uses.
Mini Diary's interface has long frustrated me. After the author archived the project, I looked for a replacement. I had two demands:

  1. It had to be private, and nobody had to be able to read the entries.
  2. Cloud syncing was required for editing on multiple devices.

Then I learned about encrypting the Obsidian folder. Then decrypt and open the folder with Obsidian. Sync the folder as usual.
Use CryptoMator (https://cryptomator.org/). Create an encrypted folder in Cryptomator for your Obsidian vault, set a password, and let it do the rest.
If you need a step-by-step video guide, here it is:

Conclusion

So, I hope this was helpful!
In the first section of the article, we discussed notes and note-taking techniques. We discussed when to use tags and links over folders and when to break up larger notes.
Then we learned about Obsidian, its interface, and some useful plugins like Citations for citing papers and Templater for creating note templates.
Finally, we discussed workflows and how to use Zotero to take notes from scientific papers, as well as managing Lab Books and Private Encrypted Diaries.
Thanks for reading and commenting :)

Read original post here

Jano le Roux

Jano le Roux

3 years ago

My Top 11 Tools For Building A Modern Startup, With A Free Plan

The best free tools are probably unknown to you.

Webflow

Modern startups are easy to build.

Start with free tools.

Let’s go.

Web development — Webflow

Code-free HTML, CSS, and JS.

Webflow isn't like Squarespace, Wix, or Shopify.

It's a super-fast no-code tool for professionals to construct complex, highly-responsive websites and landing pages.

Webflow can help you add animations like those on Apple's website to your own site.

I made the jump from WordPress a few years ago and it changed my life.

No damn plugins. No damn errors. No damn updates.

The best, you can get started on Webflow for free.

Data tracking — Airtable

Spreadsheet wings.

Airtable combines spreadsheet flexibility with database power without code.

  • Airtable is modern.

  • Airtable has modularity.

  • Scaling Airtable is simple.

Airtable, one of the most adaptable solutions on this list, is perfect for client data management.

Clients choose customized service packages. Airtable consolidates data so you can automate procedures like invoice management and focus on your strengths.

Airtable connects with so many tools that rarely creates headaches. Airtable scales when you do.

Airtable's flexibility makes it a potential backend database.

Design — Figma

Better, faster, easier user interface design.

Figma rocks!

  • It’s fast.

  • It's free.

  • It's adaptable

First, design in Figma.

Iterate.

Export development assets.

Figma lets you add more team members as your company grows to work on each iteration simultaneously.

Figma is web-based, so you don't need a powerful PC or Mac to start.

Task management — Trello

Unclock jobs.

Tacky and terrifying task management products abound. Trello isn’t.

Those that follow Marie Kondo will appreciate Trello.

  • Everything is clean.

  • Nothing is complicated.

  • Everything has a place.

Compared to other task management solutions, Trello is limited. And that’s good. Too many buttons lead to too many decisions lead to too many hours wasted.

Trello is a must for teamwork.

Domain email — Zoho

Free domain email hosting.

Professional email is essential for startups. People relied on monthly payments for too long. Nope.

Zoho offers 5 free professional emails.

It doesn't have Google's UI, but it works.

VPN — Proton VPN

Fast Swiss VPN protects your data and privacy.

Proton VPN is secure.

  • Proton doesn't record any data.

  • Proton is based in Switzerland.

Swiss privacy regulation is among the most strict in the world, therefore user data are protected. Switzerland isn't a 14 eye country.

Journalists and activists trust Proton to secure their identities while accessing and sharing information authoritarian governments don't want them to access.

Web host — Netlify

Free fast web hosting.

Netlify is a scalable platform that combines your favorite tools and APIs to develop high-performance sites, stores, and apps through GitHub.

Serverless functions and environment variables preserve API keys.

Netlify's free tier is unmissable.

  • 100GB of free monthly bandwidth.

  • Free 125k serverless operations per website each month.

Database — MongoDB

Create a fast, scalable database.

MongoDB is for small and large databases. It's a fast and inexpensive database.

  • Free for the first million reads.

  • Then, for each million reads, you must pay $0.10.

MongoDB's free plan has:

  • Encryption from end to end

  • Continual authentication

  • field-level client-side encryption

If you have a large database, you can easily connect MongoDB to Webflow to bypass CMS limits.

Automation — Zapier

Time-saving tip: automate repetitive chores.

Zapier simplifies life.

Zapier syncs and connects your favorite apps to do impossibly awesome things.

If your online store is connected to Zapier, a customer's purchase can trigger a number of automated actions, such as:

  1. The customer is being added to an email chain.

  2. Put the information in your Airtable.

  3. Send a pre-programmed postcard to the customer.

  4. Alexa, set the color of your smart lights to purple.

Zapier scales when you do.

Email & SMS marketing — Omnisend

Email and SMS marketing campaigns.

Omnisend

This is an excellent Mailchimp option for magical emails. Omnisend's processes simplify email automation.

I love the interface's cleanliness.

Omnisend's free tier includes web push notifications.

Send up to:

  • 500 emails per month

  • 60 maximum SMSs

  • 500 Web Push Maximum

Forms and surveys — Tally

Create flexible forms that people enjoy.

Typeform is clean but restricting. Sometimes you need to add many questions. Tally's needed sometimes.

Tally is flexible and cheaper than Typeform.

99% of Tally's features are free and unrestricted, including:

  • Unlimited forms

  • Countless submissions

  • Collect payments

  • File upload

Tally lets you examine what individuals contributed to forms before submitting them to see where they get stuck.

Airtable and Zapier connectors automate things further. If you pay, you can apply custom CSS to fit your brand.

See.

Free tools are the greatest.

Let's use them to launch a startup.

You might also like

Sea Launch

Sea Launch

3 years ago

📖 Guide to NFT terms: an NFT glossary.

NFT lingo can be overwhelming. As the NFT market matures and expands so does its own jargon, slang, colloquialisms or acronyms.

This ever-growing NFT glossary goal is to unpack key NFT terms to help you better understand the NFT market or at least not feel like a total n00b in a conversation about NFTs on Reddit, Discord or Twitter.


#

1:1 Art

Art where each piece is one of a kind (1 of 1). Unlike 10K projects, PFP or Generative Art collections have a cap of NFTs released that can range from a few hundreds to 10K.

1/1 of X

Contrary to 1:1 Art, 1/1 of X means each NFT is unique, but part of a large and cohesive collection. E.g: Fidenzas by Tyler Hobbs or Crypto Punks (each Punk is 1/1 of 10,000).

10K Project

A type of NFT collection that consists of approximately 10,000 NFTs (but not strictly).


A

AB

ArtBlocks, the most important platform for generative art currently.

AFAIK

As Far As I Know.

Airdrop

Distribution of an NFT token directly into a crypto wallet for free. Can be used as a marketing campaign or as scam by airdropping fake tokens to empty someone’s wallet.

Alpha

The first or very primitive release of a project. Or Investment term to track how a certain investment outdoes the market. E.g: Alpha of 1.0 = 1% improvement or Alpha of 20.0 = 20% improvement.

Altcoin

Any other crypto that is not Bitcoin. Bitcoin Maximalists can also refer to them as shitcoins.

AMA

Ask Me Anything. NFT creators or artists do sessions where anyone can ask questions about the NFT project, team, vision, etc. Usually hosted on Discord, but also on Reddit or even Youtube.

Ape

Someone can be aping, ape in or aped on an NFT meaning someone is taking a large position relative to its own portfolio size. Some argue that when someone apes can mean that they're following the hype, out of FOMO or without due diligence. Not related directly to the Bored Ape Yatch Club.

ATH

All-Time High. When a NFT project or token reaches the highest price to date.

Avatar project

An NFT collection that consists of avatars that people can use as their profile picture (see PFP) in social media to show they are part of an NFT community like Crypto Punks.

Axie Infinity

ETH blockchain-based game where players battle and trade Axies (digital pets). The main ERC-20 tokens used are Axie Infinity Shards (AXS) and Smooth Love Potions (formerly Small Love Potion) (SLP).

Axie Infinity Shards

AXS is an Eth token that powers the Axie Infinity game.


B

Bag Holder

Someone who holds its position in a crypto or keeps an NFT until it's worthless.

BAYC

Bored Ape Yacht Club. A very successful PFP 1/1 of 10,000 individual ape characters collection. People use BAYC as a Twitter profile picture to brag about being part of this NFT community.

Bearish

Borrowed finance slang meaning someone is doubtful about the current market and that it will crash.

Bear Market

When the Crypto or NFT market is going down in value.

Bitcoin (BTC)

First and original cryptocurrency as outlined in a whitepaper by the anonymous creator(s) Satoshi Nakamoto.

Bitcoin Maximalist

Believer that Bitcoin is the only cryptocurrency needed. All other cryptocurrencies are altcoins or shitcoins.

Blockchain

Distributed, decentralized, immutable database that is the basis of trust in Web 3.0 technology.

Bluechip

When an NFT project has a long track record of success and its value is sustained over time, therefore considered a solid investment.

BTD

Buy The Dip. A bear market can be an opportunity for crypto investors to buy a crypto or NFT at a lower price.

Bullish

Borrowed finance slang meaning someone is optimistic that a market will increase in value aka moon.

Bull market

When the Crypto or NFT market is going up and up in value.

Burn

Common crypto strategy to destroy or delete tokens from the circulation supply intentionally and permanently in order to limit supply and increase the value.

Buying on secondary

Whenever you don’t mint an NFT directly from the project, you can always buy it in secondary NFT marketplaces like OpenSea. Most NFT sales are secondary market sales.


C

Cappin or Capping

Slang for lying or faking. Opposed to no cap which means “no lie”.

Coinbase

Nasdaq listed US cryptocurrency exchange. Coinbase Wallet is one of Coinbase’s products where users can use a Chrome extension or app hot wallet to store crypto and NFTs.

Cold wallet

Otherwise called hardware wallet or cold storage. It’s a physical device to store your cryptocurrencies and/or NFTs offline. They are not connected to the Internet so are at less risk of being compromised.

Collection

A set of NFTs under a common theme as part of a NFT drop or an auction sale in marketplaces like OpenSea or Rarible.

Collectible

A collectible is an NFT that is a part of a wider NFT collection, usually part of a 10k project, PFP project or NFT Game.

Collector

Someone who buys NFTs to build an NFT collection, be part of a NFT community or for speculative purposes to make a profit.

Cope

The opposite of FOMO. When someone doesn’t buy an NFT because one is still dealing with a previous mistake of not FOMOing at a fraction of the price. So choosing to stay out.

Consensus mechanism

Method of authenticating and validating a transaction on a blockchain without the need to trust or rely on a central authority. Examples of consensus mechanisms are Proof of Work (PoW) or Proof of Stake (PoS).

Cozomo de’ Medici

Twitter alias used by Snoop Dogg for crypto and NFT chat.

Creator

An NFT creator is a person that creates the asset for the NFT idea, vision and in many cases the art (e.g. a jpeg, audio file, video file).

Crowsale

Where a crowdsale is the sale of a token that will be used in the business, an Initial Coin Offering (ICO) is the sale of a token that’s linked to the value of the business. Buying an ICO token is akin to buying stock in the company because it entitles you a share of the earnings and profits. Also, some tokens give you voting rights similar to holding stock in the business. The US Securities and Exchange Commission recently ruled that ICOs, but not crowdselling, will be treated as the sale of a security. This basically means that all ICOs must be registered like IPOs and offered only to accredited investors. This dramatically increases the costs and limits the pool of potential buyers.

Crypto Bags/Bags

Refers to how much cryptocurrencies someone holds, as in their bag of coins.

Cryptocurrency

The native coin of a blockchain (or protocol coin), secured by cryptography to be exchanged within a Peer 2 Peer economic system. E.g: Bitcoin (BTC) for the Bitcoin blockchain, Ether (ETH) for the Ethereum blockchain, etc.

Crypto community

The community of a specific crypto or NFT project. NFT communities use Twitter and Discord as their primary social media to hang out.

Crypto exchange

Where someone can buy, sell or trade cryptocurrencies and tokens.

Cryptography

The foundation of blockchain technology. The use of mathematical theory and computer science to encrypt or decrypt information.

CryptoKitties

One of the first and most popular NFT based blockchain games. In 2017, the NFT project almost broke the Ethereum blockchain and increased the gas prices dramatically.

CryptoPunk

Currently one of the most valuable blue chip NFT projects. It was created by Larva Labs. Crypto Punk holders flex their NFT as their profile picture on Twitter.

CT

Crypto Twitter, the crypto-community on Twitter.

Cypherpunks

Movement in the 1980s, advocating for the use of strong cryptography and privacy-enhancing technologies as a route to social and political change. The movement contributed and shaped blockchain tech as we know today.


D

DAO

Stands for Decentralized Autonomous Organization. When a NFT project is structured like a DAO, it grants all the NFT holders voting rights, control over future actions and the NFT’s project direction and vision. Many NFT projects are also organized as DAO to be a community-driven project.

Dapp

Mobile or web based decentralized application that interacts on a blockchain via smart contracts. E.g: Dapp is the frontend and the smart contract is the backend.

DCA

Acronym for Dollar Cost Averaging. An investment strategy to reduce the impact of crypto market volatility. E.g: buying into a crypto asset on a regular monthly basis rather than a big one time purchase.

Ded

Abbreviation for dead like "I sold my Punk for 90 ETH. I am ded."

DeFi

Short for Decentralized Finance. Blockchain alternative for traditional finance, where intermediaries like banks or brokerages are replaced by smart contracts to offer financial services like trading, lending, earning interest, insure, etc.

Degen

Short for degenerate, a gambler who buys into unaudited or unknown NFT or DeFi projects, without proper research hoping to chase high profits.

Delist

No longer offer an NFT for sale on a secondary market like Opensea. NFT Marketplaces can delist an NFT that infringes their rules. Or NFT owners can choose to delist their NFTs (has long as they have sufficient funds for the gas fees) due to price surges to avoid their NFT being bought or sold for a higher price.

Derivative

Projects derived from the original project that reinforces the value and importance of the original NFT. E.g: "alternative" punks.

Dev

A skilled professional who can build NFT projects using smart contracts and blockchain technology.

Dex

Decentralised Exchange that allows for peer-to-peer trustless transactions that don’t rely on a centralized authority to take place. E.g: Uniswap, PancakeSwap, dYdX, Curve Finance, SushiSwap, 1inch, etc.

Diamond Hands

Someone who believes and holds a cryptocurrency or NFT regardless of the crypto or NFT market fluctuations.

Discord

Chat app heavily used by crypto and NFT communities for knowledge sharing and shilling.

DLT

Acronym for Distributed Ledger Technology. It’s a protocol that allows the secure functioning of a decentralized database, through cryptography. This technological infrastructure scraps the need for a central authority to keep in check manipulation or exploitation of the network.

Dog coin

It’s a memecoin based on the Japanese dog breed, Shiba Inu, first popularised by Dogecoin. Other notable coins are Shiba Inu or Floki Inu. These dog coins are frequently subjected to pump and dumps and are extremely volatile. The original dog coin DOGE was created as a joke in 2013. Elon Musk is one of Dogecoin's most famous supporters.

Doxxed/Doxed

When the identity of an NFT team member, dev or creator is public, known or verifiable. In the NFT market, when a NFT team is doxed it’s a usually sign of confidence and transparency for NFT collectors to ensure they will not be scammed for an anonymous creator.

Drop

The release of an NFT (single or collection) into the NFT market.

DYOR

Acronym for Do Your Own Research. A common expression used in the crypto or NFT community to disclaim responsibility for the financial/strategy advice someone is providing the community and to avoid being called out by others in theNFT or crypto community.


E

EIP-1559 EIP

Referring to Ethereum Improvement Proposal 1559, commonly known as the London Fork. It’s an upgrade to the Ethereum protocol code to improve the blockchain security and scalability. The major change consists in shifting from a proof-of-work consensus mechanism (PoW) to a low energy and lower gas fees proof-of-stake system (PoS).

ERC-1155

Stands for Ethereum Request for Comment-1155. A multi-token standard that can represent any number of fungible (ERC-20) and non-fungible tokens (ERC-721).

ERC-20

Ethereum Request for Comment-20 is a standard defining a fungible token like a cryptocurrency.

ERC-721

Ethereum Request for Comment-721 is a standard defining a non-fungible token (NFT).

ETH

Aka Ether, the currency symbol for the native cryptocurrency of the Ethereum blockchain.

ETH2.0

Also known as the London Fork or EIP-1559 EIP. It’s an upgrade to the Ethereum network to improve the network’s security and scalability. The most dramatic change is the shift from the proof-of-work consensus mechanism (PoW) to proof-of-stake system (PoS).

Ether

Or ETH, the native cryptocurrency of the Ethereum blockchain.

Ethereum

Network protocol that allows users to create and run smart contracts over a decentralized network.


F

FCFS

Acronym for First Come First Served. Commonly used strategy in a NFT collection drop when the demand surpasses the supply.

Few

Short for "few understand". Similar to the irony behind the "probably nothing" expression. Like X person bought into a popular NFT, because it understands its long term value.

Fiat Currencies or Money

National government-issued currencies like the US Dollar (USD), Euro (EUR) or Great British Pound (GBP) that are not backed by a commodity like silver or gold. FIAT means an authoritative or arbitrary order like a government decree.

Flex

Slang for showing off. In the crypto community, it’s a Lamborghini or a gold Rolex. In the NFT world, it’s a CryptoPunk or BAYC PFP on Twitter.

Flip

Quickly buying and selling crypto or NFTs to make a profit.

Flippening

Colloquial expression coined in 2017 for when Ethereum’s market capitalisation surpasses Bitcoin’s.

Floor Price

It means the lowest asking price for an NFT collection or subset of a collection on a secondary market like OpenSea.

Floor Sweep

Refers when a NFT collector or investor buys all the lowest listed NFTs on a secondary NFT marketplace.

FOMO

Acronym for Fear Of Missing Out. Buying a crypto or NFT out of fear of missing out on the next big thing.

FOMO-in

Buying a crypto or NFT regardless if it's at the top of the market for FOMO.

Fractionalize

Turning one NFT like a Crypto Punk into X number of fractions ERC-20 tokens that prove ownership of that Punk. This allows for i) collective ownership of an NFT, ii) making an expensive NFT affordable for the common NFT collector and iii) adds more liquidity to a very illiquid NFT market.

FR

Abbreviation for For Real?

Fren

Means Friend and what people in the NFT community call each other in an endearing and positive way.

Foundation

An exclusive, by invitation only, NFT marketplace that specializes in NFT art.

Fungible

Means X can be traded for another X and still hold the same value. E.g: My dollars = your dollars. My 1 ether = your 1 ether. My casino chip = your casino chip. On Ethereum, fungible tokens are defined by the ERC-20 standard.

FUD

Acronym for Fear Uncertainty Doubt. It can be a) when someone spreads negative and sometimes false news to discredit a certain crypto or NFT project. Or b) the overall negative feeling regarding the future of the NFT/Crypto project or market, especially when going through a bear market.

Fudder

Someone who has FUD or engages in FUD about a NFT project.

Fudding your own bags

When an NFT collector or crypto investor speaks negatively about an NFT or crypto project he/she has invested in or has a stake in. Usually negative comments about the team or vision.


G

G

Means Gangster. A term of endearment used amongst the NFT Community.

Gas/Gas fees/Gas prices

The fee charged to complete a transaction in a blockchain. These gas prices vary tremendously between the blockchains, the consensus mechanism used to validate transactions or the number of transactions being made at a specific time.

Gas war

When a lot of NFT collectors (or bots) are trying to mint an NFT at once and therefore resulting in gas price surge.

Generative art

Artwork that is algorithmically created by code with unique traits and rarity.

Genesis drop

It refers to the first NFT drop a creator makes on an NFT auction platform.

GG

Interjection for Good Game.

GM

Interjection for Good Morning.

GMI

Acronym for Going to Make It. Opposite of NGMI (NOT Going to Make It).

GOAT

Acronym for Greatest Of All Time.

GTD

Acronym for Going To Dust. When a token or NFT project turns out to be a bad investment.

GTFO

Get The F*ck Out, as in “gtfo with that fud dude” if someone is talking bull.

GWEI

One billionth of an Ether (ETH) also known as a Shannon / Nanoether / Nano — unit of account used to price Ethereum gas transactions.


H

HEN (Hic Et Nunc)

A popular NFT art marketplace for art built on the Tezos blockchain. Big NFT marketplace for inexpensive NFTs but not a very user-friendly UI/website.

HODL

Misspelling of HOLD coined in an old Reddit post. Synonym with “Hold On for Dear Life” meaning hold your coin or NFT until the end, whether that they’ll moon or dust.

Hot wallet

Wallets connected to the Internet, less secure than cold wallet because they’re more susceptible to hacks.

Hype

Term used to show excitement or anticipation about an upcoming crypto project or NFT.


I

ICO

Acronym for Initial Coin Offering. It’s the crypto equivalent to a stocks’ IPO (Initial Public Offering) but with far less scrutiny or regulation (leading to a lot of scams). ICO’s are a popular way for crypto projects to raise funds.

IDO

Acronym for Initial Dex Offering. To put it simply it means to launch NFTs or tokens via a decentralized liquidity exchange. It’s a common fundraising method used by upcoming crypto or NFT projects. Many consider IDOs a far better fundraising alternative to ICOs.

IDK

Acronym for I Don’t Know.

IDEK

Acronym for I Don’t Even Know.

Imma

Short for I’m going to be.

IRL

Acronym for In Real Life. Refers to the physical world outside of the online/virtual world of crypto, NFTs, gaming or social media.

IPFS

Acronym for Interplanetary File System. A peer-to-peer file storage system using hashes to recall and preserve the integrity of the file, commonly used to store NFTs outside of the blockchain.

It’s Money Laundering

Someone can use this expression to suggest that NFT prices aren’t real and that actually people are using NFTs to launder money, without providing much proof or explanation on how it works.

IYKYK

Stands for If You Know, You Know This. Similar to the expression "few", used when someone buys into a popular crypto or NFT project, slightly because of FOMO but also because it believes in its long term value.


J

JPEG/JPG

File format typically used to encode NFT art. Some people also use Jpeg to mock people buying NFTs as in “All that money for a jpeg”.


K

KMS

Short for Kill MySelf.


L

Larva Labs/ LL

NFT Creators behind the popular NFT projects like Cryptopunks,Meebits or Autoglyphs.

Laser eyes

Bitcoin meme signalling support for BTC and/or it will break the $100k per coin valuation.

LFG

Acronym for Let’s F*cking Go! A common rallying call used in the crypto or NFT community to lead people into buying an NFT or a crypto.

Liquidity

Term that means that a token or NFT has a high volume activity in the crypto/NFT market. It’s easily sold and resold. But usually the NFT market it’s illiquid when compared to the general crypto market, due to the non-fungibility nature of an NFT (there are less buyers for every NFTs out there).

LMFAO

Stands for Laughing My F*cking Ass Off.

Looks Rare

Ironic expression commonly used in the NFT Community. Rarity is a driver of an NFT’s value.

London Hard Fork

Known as EIP-1559, was an Ethereum code upgrade proposal designed to improve the blockchain security and scalability. It’s major change is to shift from PoW to PoS consensus mechanism.

Long run

Means someone is committed to the NFT market or an NFT project in the long term.


M

Maximalist

Typically refers to Bitcoin Maximalists. People who only believe that Bitcoin is the most secure and resilient blockchain. For Maximalists, all other cryptocurrencies are shitcoins therefore a waste of time, development and money.

McDonald's

Common and ironic expression amongst the crypto community. It means that Mcdonald’s is always a valid backup plan or career in the case all cryptocurrencies crash and disappear.

Meatspace

Synonymous with IRL - In Real Life.

Memecoin

Cryptocurrency like Dogecoin that is based on an internet joke or meme.

Metamask

Popular crypto hot wallet platform to store crypto and NFTs.

Metaverse

Term was coined by writer Neal Stephenson in the 1992 dystopian novel “Snow Crash”. It’s an immersive and digital place where people interact via their avatars. Big tech players like Meta (formerly known as Facebook) and other independent players have been designing their own version of a metaverse. NFTs can have utility for users like buying, trading, winning, accessing, experiencing or interacting with things inside a metaverse.

Mfer

Short for “mother fker”.

Miners

Single person or company that mines one or more cryptocurrencies like Bitcoin or Ethereum. Both blockchains need computing power for their Proof of Work consensus mechanism. Miners provide the computing power and receive coins/tokens in return as payment.

Mining

Mining is the process by which new tokens enter in circulation as for example in the Bitcoin blockchain. Also, mining ensures the validity of new transactions happening in a given blockchain that uses the PoW consensus mechanism. Therefore, the ones who mine are rewarded by ensuring the validity of a blockchain.

Mint/Minting

Mint an NFT is the act of publishing your unique instance to a specific blockchain like Ethereum or Tezos blockchain. In simpler terms, a creator is adding a one-of-kind token (NFT) into circulation in a specific blockchain.

Once the NFT is minted - aka created - NFT collectors can i) direct mint, therefore purchase the NFT by paying the specified amount directly into the project’s wallet. Or ii) buy it via an intermediary like an NFT marketplace (e.g: OpenSea, Foundation, Rarible, etc.). Later, the NFT owner can choose to resell the NFT, most NFT creators set up a royalty for every time their NFT is resold.

Minting interval

How often an NFT creator can mint or create tokens.

MOAR

A misspelling that means “more”.

Moon/Mooning

When a coin (e.g. ETH), or token, like an NFT goes exponential in price and the price graph sees a vertical climb. Crypto or NFT users then use the expression that “X token is going to the moon!”.

Moon boys

Slang for crypto or NFT holders who are looking to pump the price dramatically - taking a token to the moon - for short term gains and with no real long term vision or commitment.


N

Never trust, always verify

Treat everyone or every project like something potentially malicious.

New coiner

Crypto slang for someone new to the cryptocurrency space. Usually newcomers can be more susceptible to FUD or scammers.

NFA

Acronym for Not Financial Advice.

NFT

Acronym for Non-Fungible Token. The type of token that can be created, bought, sold, resold and viewed in different dapps. The ERC-721 smart contract standard (Ethereum blockchain) is the most popular amongst NFTs.

NFT Marketplace / NFT Auction platform

Platforms where people can sell and buy NFTs, either via an auction or pay the seller’s price. The largest NFT marketplace is OpenSea. But there are other popular NFT marketplace examples like Foundation, SuperRare, Nifty Gateway, Rarible, Hic et Nunc (HeN), etc.

NFT Whale

A NFT collector or investor who buys a large amount of NFTs.

NGMI

Acronym for Not Going to Make It. For example, something said to someone who has paper hands.

NMP

Acronym for Not My Problem.

Nocoiner

It can be someone who simply doesn’t hold cryptocurrencies, mistrust the crypto market or believes that crypto is either a scam or a ponzi scheme.

Noob/N00b/Newbie

Slang for someone new or not experienced in cryptocurrency or NFTs. These people are more susceptible to scams, drawn into pump and dumps or getting rekt on bad coins.

Normie/Normy

Similar expression for a nocoiner.

NSFW

Acronym for Not Suitable For Work. Referring to online content inappropriate for viewing in public or at work. It began as mostly a tag for sexual content, nudity, or violence, but it has envolved to range a number of other topics that might be delicate or trigger viewers.

Nuclear NFTs

An NFT or collectible with more than 1,000 owners. For the NFT to be sold or resold, every co-owners must give their permission beforehand. Otherwise, the NFT transaction can’t be made.


O

OG

Acronym for Original Gangster and it popularized by 90s Hip Hop culture. It means the first, the original or the person who has been around since the very start and earned respect in the community. In NFT terms, Cryptopunks are the OG of NFTs.

On-chain vs Off-chain

An on-chain NFT is when the artwork (like a jpeg, video or music file) is stored directly into the blockchain making it more secure and less susceptible to being stolen. But, note that most blockchains can only store small amounts of data.

Off-chain NFTs means that the high quality image, music or video file is not stored in the blockchain. But, the NFT data is stored on an external party like a) a centralized server, highly vulnerable to the server being shut down/exploited. Or b) an InterPlanetary File System (IPFS), also an external party but more secure way of finding data because it utilizes a distributed, decentralized system.

OpenSea

By far the largest NFT marketplace in the world, currently.


P

Paper Hands

A crypto or NFT holder who is permeable to negative market sentiment or FUD. And does not hold their crypto or NFT for long. Expression used to describe someone who sells as soon as NFTs enter a bear market.

PFP

Stands for Picture For Profile. Twitter users who hold popular NFTs like Crypto Punk or BAYC use their punk or monkey avatar as their profile picture.

POAP NFT

Stands for Proof of Attendance Protocol. These types of NFTs are awarded to attendees of events, regardless if they’re physical or virtual, as proof you attended.

PoS

Stands for Proof of Stake. A consensus mechanism used by blockchains like Bitcoin or Ethereum to achieve agreement, trust and security in every transaction and keep the integrity of the blockchain intact. PoS mechanisms are considered more environmentally friendly than PoW as they’re lower energy and in emissions.

PoW

Stands for Proof of Work. A consensus mechanism used by blockchains like Bitcoin to achieve agreement, trust and security and keep the transactional integrity of the blockchain intact. PoW mechanism requires a lot of computational power, therefore uses more energy resources and higher CO2 emissions than the PoS mechanism.

Private Key

It can be similar to a password. It’s a secret number that allows users to access their cold or hot wallet funds, prove ownership of a certain address and sign transactions on the blockchain.

It’s not advisable to share a private key with anyone as it makes a person vulnerable to thefts. In case someone loses or forgets its private key, it can use a recovery phrase to restore access to a crypto or NFT wallet.

Pre-mine

A term used in crypto to refer to the act of creating a set amount of tokens before their public launch. It can also be known as a Genesis Sale and is usually associated with Initial Coin Offerings (ICOs) in order to compensate founders, developers or early investors.

Probably nothing

It’s an ironic expression used by NFT enthusiasts to refer to an important or soon to be big news, project or person in the NFT space. Meaning when someone says probably nothing it actually means that it is probably something.

Protocol Coin

Stands for the native coin of a blockchain. As in Ether for the Ethereum blockchain or BTC on the Bitcoin blockchain.

Pump & Dump

The term pump means when a person or a group of people buy or convince others to buy large quantities of a crypto or an NFT with the single goal to drive the price to a peak. When the price peaks, these people sell their position high and for a hefty profit, therefore dumping the price and leaving other slower investors or newbies rekt or at a loss.


R

Rarity

Rarity in NFT terms refers to how rare an NFT is. The rarity can be defined by the number of traits, scarcity or properties of an NFT.

Reaching

Slang for an exaggeration over something to make it sound worse than what it actually is or to take a point/scenario too far.

Recovery phrase

A 12-word phrase that acts like backup for your crypto private keys. A person can recover all of the crypto wallet accounts’ private keys from the recovery phrase. Is not advisable to share the recovery phrase with anyone.

Rekt

Slang for wrecked. When a crypto or NFT project goes wrong or down in value sharply. Or more broadly, when something goes wrong like a person is price out by the gas surge or an NFT floor price goes down.

Right Click Save As

An Ironic expression used by people who don’t understand the value or potential unlocked by NFTs. Person who makes fun that she/he can easily get a digital artwork by Right Click Save As and mock the NFT space and its hype.

Roadmap

The strategy outlined by an NFT project. A way to explain to the NFT community or a potential NFT investor, the different stages, value and the long term vision of the NFT project.

Royalties

NFT creators can set up their NFT so each time their NFT is resold, the creator gets paid a percentage of the sale price.

RN

Acronym for Right Now.

Rug Pull/Rugged

Slang for a scam when the founders, team or developers suddenly leave a crypto project and run away with all the investors’ funds leaving them with nothing.


S

Satoshi Nakamoto

The anonymous creator of the Bitcoin whitepaper and whose identity has never been verified.

Scammer

Someone actively trying to steal other people’s crypto or NFTs.

Secondary

Secondary refers to secondary NFT marketplaces, where NFT collectors or investors can resell NFTs after they’ve been minted. The price of an NFT or NFT collection is determined by those who list them.

Seed phrase

Another name for recovery phrase is the 12-word phrase that allows you to recover all of the crypto wallet accounts’ private keys and regain control of the wallet. Is not advisable to share the seed phrase with anyone.

Seems legit

When an NFT project or a person in the NFT community looks promising and the real deal, meaning seems legitimate. Depending on the context can also be used ironically.

Seems rare

An ironic expression or dismissive comment used by the NFT community. For example, It can be used sarcastically when someone asks for feedback on an NFT they own or created.

Ser

Slang for sir and a polite way of addressing others in an NFT community.

Shill

Expression when someone wants to promote or get exposure to an NFT they own or created.

Shill Thread

It’s a common Twitter strategy to gain traction by encouraging NFT creators to share a link to their NFT project in the hopes of getting bought or noticed by the NFT Community and potential buyers.

Simp/Simping

A NFT holder or creator who comes off as trying to hard impress an NFT whale or investor.

Sh*tposter

A person who mostly posts meme content on Twitter for fun.

SLP

Acronym for Smooth Love Potion. It’s a token players can earn as a reward in the NFT game Axie Infinity.

Smart Contract

A self-executing contract where the terms of the agreement between buyer and seller are directly written into the code and without third party or human intervention. Ethereum is a blockchain that can execute smart contracts, on the contrary to Bitcoin which does not have that capability.

SMFH

Acronym for Shaking My F*cking Head. Common reply to a person showing unbelievable idiocy.

Sock Puppet

Scam account used to lure noob investors into fake investment services.

Snag

It means to buy an NFT quickly and for a very low price. Can also be known as sniping.

Sotheby’s

Very famous auction house that has recently auctioned Beeple’s NFTs or Bored Ape Yacht Club and Crypto Punks’ NFT collections.

Stake

Crypto term for locking up a certain amount of crypto tokens for a set period of time to earn interest. In the NFT space, there are popping up a lot of projects or services that allow NFT holders to earn interest for holding a certain NFT.

Szn

Stands for season referring to crypto or NFT market cycles.


T

TINA

Acronym for There Is No Alternative. Example: someone asks “why are you investing in BTC?”, to which the reply is “TINA”.

TINA RIF

Acronym for There Is No Alternative Resistance Is Futile.

This is the way

A commendation for positive behavior by someone in the NFT Community.

Tokenomics

Referring to the economics of cryptocurrencies, DeFi or NFT projects.


V

Valhalla

Ironic use of the Viking “heaven”. Meaning someone’s NFT collection is either going to be a profitable and blue chip project, therefore they can ascend to Valhalla or is going to tank and that person will have to work at a Mcdonald’s.

Vibe

Term used to express a positive emotional state.

Volatile/Volatility

Term used to describe rapid market fluctuations and crypto or NFT prices go up and down quickly in a short period.


W

WAGMI

Acronym for We Are Going to Make It. Rally cry to build momentum for a crypto or NFT project and lead even more people into buying, shilling or supporting a specific project.

Wallet

There can be a hot or cold wallet, but both are a place where someone can store their cryptocurrency and tokens. Hot wallets are always connected to the Internet like MetaMask, Trust wallet or Phantom. On the contrary cold wallets are hardware wallets to store crypto or NFTs offline like Nano Ledger.

Weak Hands

Synonymous with Paper Hands. Someone who immediately sells their crypto or NFT because of a bear market, FUD or any other negative sentiment.

Web 1.0

Refers to the beginning of the Web. A period from around 1990 to 2005, also known as the read-only web.

Web 2.0

Refers to an iteration of Web 1.0. From 2005 to the present moment, where social media platforms like Facebook, Instagram, TikTok, Google, Twitter, etc reshaped the web, therefore becoming the read-write web.

Web 3.0

A term coined by Ethereum co-founder Gavin Wood and it’s an idea of what the future of the web could look like. Most peoples’ data, info or content would no longer be centralized in Web 2.0 giants - the Big Tech - but decentralized, mostly thanks to blockchain technology. Web 3.0 could be known as read-write-trust web.

Wen

As in When.

Wen Moon

Popular expression from crypto Twitter not so much in the NFT space. Refers to the still distant future when a token will moon.

Whitepaper

Document released by a crypto or NFT project where it lays the technical information behind the concept, vision, roadmap and plans to grow a certain project.

Whale

Someone who owns a large position on a specific or many cryptos or NFTs.


Y

Yodo

Acronym for You Only Die Once. The opposite of Yolo.

Yolo

Acronym for You Only Live Once. A person can use this when they just realized they bought a shitcoin or crap NFT and they’re getting rekt.


Original post

Dmitrii Eliuseev

Dmitrii Eliuseev

2 years ago

Creating Images on Your Local PC Using Stable Diffusion AI

Deep learning-based generative art is being researched. As usual, self-learning is better. Some models, like OpenAI's DALL-E 2, require registration and can only be used online, but others can be used locally, which is usually more enjoyable for curious users. I'll demonstrate the Stable Diffusion model's operation on a standard PC.

Image generated by Stable Diffusion 2.1

Let’s get started.

What It Does

Stable Diffusion uses numerous components:

  • A generative model trained to produce images is called a diffusion model. The model is incrementally improving the starting data, which is only random noise. The model has an image, and while it is being trained, the reversed process is being used to add noise to the image. Being able to reverse this procedure and create images from noise is where the true magic is (more details and samples can be found in the paper).

  • An internal compressed representation of a latent diffusion model, which may be altered to produce the desired images, is used (more details can be found in the paper). The capacity to fine-tune the generation process is essential because producing pictures at random is not very attractive (as we can see, for instance, in Generative Adversarial Networks).

  • A neural network model called CLIP (Contrastive Language-Image Pre-training) is used to translate natural language prompts into vector representations. This model, which was trained on 400,000,000 image-text pairs, enables the transformation of a text prompt into a latent space for the diffusion model in the scenario of stable diffusion (more details in that paper).

This figure shows all data flow:

Model architecture, Source © https://arxiv.org/pdf/2112.10752.pdf

The weights file size for Stable Diffusion model v1 is 4 GB and v2 is 5 GB, making the model quite huge. The v1 model was trained on 256x256 and 512x512 LAION-5B pictures on a 4,000 GPU cluster using over 150.000 NVIDIA A100 GPU hours. The open-source pre-trained model is helpful for us. And we will.

Install

Before utilizing the Python sources for Stable Diffusion v1 on GitHub, we must install Miniconda (assuming Git and Python are already installed):

wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-Linux-x86_64.sh
chmod +x Miniconda3-py39_4.12.0-Linux-x86_64.sh
./Miniconda3-py39_4.12.0-Linux-x86_64.sh
conda update -n base -c defaults conda

Install the source and prepare the environment:

git clone https://github.com/CompVis/stable-diffusion
cd stable-diffusion
conda env create -f environment.yaml
conda activate ldm
pip3 install transformers --upgrade

Download the pre-trained model weights next. HiggingFace has the newest checkpoint sd-v14.ckpt (a download is free but registration is required). Put the file in the project folder and have fun:

python3 scripts/txt2img.py --prompt "hello world" --plms --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

Almost. The installation is complete for happy users of current GPUs with 12 GB or more VRAM. RuntimeError: CUDA out of memory will occur otherwise. Two solutions exist.

Running the optimized version

Try optimizing first. After cloning the repository and enabling the environment (as previously), we can run the command:

python3 optimizedSD/optimized_txt2img.py --prompt "hello world" --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

Stable Diffusion worked on my visual card with 8 GB RAM (alas, I did not behave well enough to get NVIDIA A100 for Christmas, so 8 GB GPU is the maximum I have;).

Running Stable Diffusion without GPU

If the GPU does not have enough RAM or is not CUDA-compatible, running the code on a CPU will be 20x slower but better than nothing. This unauthorized CPU-only branch from GitHub is easiest to obtain. We may easily edit the source code to use the latest version. It's strange that a pull request for that was made six months ago and still hasn't been approved, as the changes are simple. Readers can finish in 5 minutes:

  • Replace if attr.device!= torch.device(cuda) with if attr.device!= torch.device(cuda) and torch.cuda.is available at line 20 of ldm/models/diffusion/ddim.py ().

  • Replace if attr.device!= torch.device(cuda) with if attr.device!= torch.device(cuda) and torch.cuda.is available in line 20 of ldm/models/diffusion/plms.py ().

  • Replace device=cuda in lines 38, 55, 83, and 142 of ldm/modules/encoders/modules.py with device=cuda if torch.cuda.is available(), otherwise cpu.

  • Replace model.cuda() in scripts/txt2img.py line 28 and scripts/img2img.py line 43 with if torch.cuda.is available(): model.cuda ().

Run the script again.

Testing

Test the model. Text-to-image is the first choice. Test the command line example again:

python3 scripts/txt2img.py --prompt "hello world" --plms --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

The slow generation takes 10 seconds on a GPU and 10 minutes on a CPU. Final image:

The SD V1.4 first example, Image by the author

Hello world is dull and abstract. Try a brush-wielding hamster. Why? Because we can, and it's not as insane as Napoleon's cat. Another image:

The SD V1.4 second example, Image by the author

Generating an image from a text prompt and another image is interesting. I made this picture in two minutes using the image editor (sorry, drawing wasn't my strong suit):

An image sketch, Image by the author

I can create an image from this drawing:

python3 scripts/img2img.py --prompt "A bird is sitting on a tree branch" --ckpt sd-v1-4.ckpt --init-img bird.png --strength 0.8

It was far better than my initial drawing:

The SD V1.4 third example, Image by the author

I hope readers understand and experiment.

Stable Diffusion UI

Developers love the command line, but regular users may struggle. Stable Diffusion UI projects simplify image generation and installation. Simple usage:

  • Unpack the ZIP after downloading it from https://github.com/cmdr2/stable-diffusion-ui/releases. Linux and Windows are compatible with Stable Diffusion UI (sorry for Mac users, but those machines are not well-suitable for heavy machine learning tasks anyway;).

  • Start the script.

Done. The web browser UI makes configuring various Stable Diffusion features (upscaling, filtering, etc.) easy:

Stable Diffusion UI © Image by author

V2.1 of Stable Diffusion

I noticed the notification about releasing version 2.1 while writing this essay, and it was intriguing to test it. First, compare version 2 to version 1:

  • alternative text encoding. The Contrastive LanguageImage Pre-training (CLIP) deep learning model, which was trained on a significant number of text-image pairs, is used in Stable Diffusion 1. The open-source CLIP implementation used in Stable Diffusion 2 is called OpenCLIP. It is difficult to determine whether there have been any technical advancements or if legal concerns were the main focus. However, because the training datasets for the two text encoders were different, the output results from V1 and V2 will differ for the identical text prompts.

  • a new depth model that may be used to the output of image-to-image generation.

  • a revolutionary upscaling technique that can quadruple the resolution of an image.

  • Generally higher resolution Stable Diffusion 2 has the ability to produce both 512x512 and 768x768 pictures.

The Hugging Face website offers a free online demo of Stable Diffusion 2.1 for code testing. The process is the same as for version 1.4. Download a fresh version and activate the environment:

conda deactivate  
conda env remove -n ldm  # Use this if version 1 was previously installed
git clone https://github.com/Stability-AI/stablediffusion
cd stablediffusion
conda env create -f environment.yaml
conda activate ldm

Hugging Face offers a new weights ckpt file.

The Out of memory error prevented me from running this version on my 8 GB GPU. Version 2.1 fails on CPUs with the slow conv2d cpu not implemented for Half error (according to this GitHub issue, the CPU support for this algorithm and data type will not be added). The model can be modified from half to full precision (float16 instead of float32), however it doesn't make sense since v1 runs up to 10 minutes on the CPU and v2.1 should be much slower. The online demo results are visible. The same hamster painting with a brush prompt yielded this result:

A Stable Diffusion 2.1 example

It looks different from v1, but it functions and has a higher resolution.

The superresolution.py script can run the 4x Stable Diffusion upscaler locally (the x4-upscaler-ema.ckpt weights file should be in the same folder):

python3 scripts/gradio/superresolution.py configs/stable-diffusion/x4-upscaling.yaml x4-upscaler-ema.ckpt

This code allows the web browser UI to select the image to upscale:

The copy-paste strategy may explain why the upscaler needs a text prompt (and the Hugging Face code snippet does not have any text input as well). I got a GPU out of memory error again, although CUDA can be disabled like v1. However, processing an image for more than two hours is unlikely:

Stable Diffusion 4X upscaler running on CPU © Image by author

Stable Diffusion Limitations

When we use the model, it's fun to see what it can and can't do. Generative models produce abstract visuals but not photorealistic ones. This fundamentally limits The generative neural network was trained on text and image pairs, but humans have a lot of background knowledge about the world. The neural network model knows nothing. If someone asks me to draw a Chinese text, I can draw something that looks like Chinese but is actually gibberish because I never learnt it. Generative AI does too! Humans can learn new languages, but the Stable Diffusion AI model includes only language and image decoder brain components. For instance, the Stable Diffusion model will pull NO WAR banner-bearers like this:

V1:

V2.1:

The shot shows text, although the model never learned to read or write. The model's string tokenizer automatically converts letters to lowercase before generating the image, so typing NO WAR banner or no war banner is the same.

I can also ask the model to draw a gorgeous woman:

V1:

V2.1:

The first image is gorgeous but physically incorrect. A second one is better, although it has an Uncanny valley feel. BTW, v2 has a lifehack to add a negative prompt and define what we don't want on the image. Readers might try adding horrible anatomy to the gorgeous woman request.

If we ask for a cartoon attractive woman, the results are nice, but accuracy doesn't matter:

V1:

V2.1:

Another example: I ordered a model to sketch a mouse, which looks beautiful but has too many legs, ears, and fingers:

V1:

V2.1: improved but not perfect.

V1 produces a fun cartoon flying mouse if I want something more abstract:

I tried multiple times with V2.1 but only received this:

The image is OK, but the first version is closer to the request.

Stable Diffusion struggles to draw letters, fingers, etc. However, abstract images yield interesting outcomes. A rural landscape with a modern metropolis in the background turned out well:

V1:

V2.1:

Generative models help make paintings too (at least, abstract ones). I searched Google Image Search for modern art painting to see works by real artists, and this was the first image:

“Modern art painting” © Google’s Image search result

I typed "abstract oil painting of people dancing" and got this:

V1:

V2.1:

It's a different style, but I don't think the AI-generated graphics are worse than the human-drawn ones.

The AI model cannot think like humans. It thinks nothing. A stable diffusion model is a billion-parameter matrix trained on millions of text-image pairs. I input "robot is creating a picture with a pen" to create an image for this post. Humans understand requests immediately. I tried Stable Diffusion multiple times and got this:

This great artwork has a pen, robot, and sketch, however it was not asked. Maybe it was because the tokenizer deleted is and a words from a statement, but I tried other requests such robot painting picture with pen without success. It's harder to prompt a model than a person.

I hope Stable Diffusion's general effects are evident. Despite its limitations, it can produce beautiful photographs in some settings. Readers who want to use Stable Diffusion results should be warned. Source code examination demonstrates that Stable Diffusion images feature a concealed watermark (text StableDiffusionV1 and SDV2) encoded using the invisible-watermark Python package. It's not a secret, because the official Stable Diffusion repository's test watermark.py file contains a decoding snippet. The put watermark line in the txt2img.py source code can be removed if desired. I didn't discover this watermark on photographs made by the online Hugging Face demo. Maybe I did something incorrectly (but maybe they are just not using the txt2img script on their backend at all).

Conclusion

The Stable Diffusion model was fascinating. As I mentioned before, trying something yourself is always better than taking someone else's word, so I encourage readers to do the same (including this article as well;).

Is Generative AI a game-changer? My humble experience tells me:

  • I think that place has a lot of potential. For designers and artists, generative AI can be a truly useful and innovative tool. Unfortunately, it can also pose a threat to some of them since if users can enter a text field to obtain a picture or a website logo in a matter of clicks, why would they pay more to a different party? Is it possible right now? unquestionably not yet. Images still have a very poor quality and are erroneous in minute details. And after viewing the image of the stunning woman above, models and fashion photographers may also unwind because it is highly unlikely that AI will replace them in the upcoming years.

  • Today, generative AI is still in its infancy. Even 768x768 images are considered to be of a high resolution when using neural networks, which are computationally highly expensive. There isn't an AI model that can generate high-resolution photographs natively without upscaling or other methods, at least not as of the time this article was written, but it will happen eventually.

  • It is still a challenge to accurately represent knowledge in neural networks (information like how many legs a cat has or the year Napoleon was born). Consequently, AI models struggle to create photorealistic photos, at least where little details are important (on the other side, when I searched Google for modern art paintings, the results are often even worse;).

  • When compared to the carefully chosen images from official web pages or YouTube reviews, the average output quality of a Stable Diffusion generation process is actually less attractive because to its high degree of randomness. When using the same technique on their own, consumers will theoretically only view those images as 1% of the results.

Anyway, it's exciting to witness this area's advancement, especially because the project is open source. Google's Imagen and DALL-E 2 can also produce remarkable findings. It will be interesting to see how they progress.

Jayden Levitt

Jayden Levitt

3 years ago

How to Explain NFTs to Your Grandmother, in Simple Terms

Credit — Grandma Finds The Internet

In simple terms, you probably don’t.

But try. Grandma didn't grow up with Facebook, but she eventually joined.

Perhaps the fear of being isolated outweighed the discomfort of learning the technology.

Grandmas are Facebook likers, sharers, and commenters.

There’s no stopping her.

Not even NFTs. Web3 is currently very complex.

It's difficult to explain what NFTs are, how they work, and why we might use them.

Three explanations.

1. Everything will be ours to own, both physically and digitally.

Why own something you can't touch? What's the point?

Blockchain technology proves digital ownership.

Untouchables need ownership proof. What?

Digital assets reduce friction, save time, and are better for the environment than physical goods.

Many valuable things are intangible. Feeling like your favorite brands. You'll pay obscene prices for clothing that costs pennies.

Secondly, NFTs Are Contracts. Agreements Have Value.

Blockchain technology will replace all contracts and intermediaries.

Every insurance contract, deed, marriage certificate, work contract, plane ticket, concert ticket, or sports event is likely an NFT.

We all have public wallets, like Grandma's Facebook page.

3. Your NFT Purchases Will Be Visible To Everyone.

Everyone can see your public wallet. What you buy says more about you than what you post online.

NFTs issued double as marketing collateral when seen on social media.

While I doubt Grandma knows who Snoop Dog is, imagine him or another famous person holding your NFT in his public wallet and the attention that could bring to you, your company, or brand.

This Technical Section Is For You

The NFT is a contract; its founders can add value through access, events, tuition, and possibly royalties.

Imagine Elon Musk releasing an NFT to his network. Or yearly business consultations for three years.

Christ-alive.

It's worth millions.

These determine their value.

No unsuspecting schmuck willing to buy your hot potato at zero. That's the trend, though.

Overpriced NFTs for low-effort projects created a bubble that has burst.

During a market bubble, you can make money by buying overvalued assets and selling them later for a profit, according to the Greater Fool Theory.

People are struggling. Some are ruined by collateralized loans and the gold rush.

Finances are ruined.

It's uncomfortable.

The same happened in 2018, during the ICO crash or in 1999/2000 when the dot com bubble burst. But the underlying technology hasn’t gone away.