More on NFTs & Art
Tora Northman
3 years ago
Pixelmon NFTs are so bad, they are almost good!
Bored Apes prices continue to rise, HAPEBEAST launches, Invisible Friends hype continues to grow. Sadly, not all projects are as successful.
Of course, there are many factors to consider when buying an NFT. Is the project a scam? Will the reveal derail the project? Possibly, but when Pixelmon first teased its launch, it generated a lot of buzz.
With a primary sale mint price of 3 ETH ($8,100 USD), it started as an expensive project, with plenty of fans willing to invest in what was sold as a game. After it was revealed, it fell rapidly.
Why? It was overpromised and under delivered.
According to the project's creator[^1], the funds generated will be used to develop the artwork. "The Pixelmon reveal was wrong. This is what our Pixelmon look like in-game. "Despite the fud, I will not go anywhere," he wrote on Twitter. The goal remains. The funds will still be used to build our game. I will finish this project."
The project raised $70 million USD, but the NFTs buyers received were not the project's original teasers. Some call it "the worst NFT project ever," while others call it a complete scam.
But there's hope for some buyers. Kevin emerged from the ashes as the project was roasted over the fire.
A Minecraft character meets Salad Fingers - that's Kevin. He's a frog-like creature whose reveal was such a terrible NFT that it became part of history – and a meme.
If you're laughing at people paying $8K for a silly pixelated image, you might need to take it back. Precisely because of this, lucky holders who minted Kevin have been able to sell the now-memed NFT for over 8 ETH (around $24,000 USD), with some currently listed for 100 ETH.
Of course, Twitter has been awash in memes mocking those who invested in the project, because what else can you do when so many people lose money?
It's still unclear if the NFT project is a scam, but the team behind it was hired on Upwork. There's still hope for redemption, but Kevin's rise to fame appears to be the only positive outcome so far.
[^1] This is not the first time the creator (A 20-yo New Zealanders) has sought money via an online platform and had people claiming he under-delivered. He raised $74,000 on Kickstarter for a card game called Psycho Chicken. There are hundreds of comments on the Kickstarter project saying they haven't received the product and pleading for a refund or an update.
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
Matt Nutsch
3 years ago
Most people are unaware of how artificial intelligence (A.I.) is changing the world.
Recently, I saw an interesting social media post. In an entrepreneurship forum. A blogger asked for help because he/she couldn't find customers. I now suspect that the writer’s occupation is being disrupted by A.I.
Introduction
Artificial Intelligence (A.I.) has been a hot topic since the 1950s. With recent advances in machine learning, A.I. will touch almost every aspect of our lives. This article will discuss A.I. technology and its social and economic implications.
What's AI?
A computer program or machine with A.I. can think and learn. In general, it's a way to make a computer smart. Able to understand and execute complex tasks. Machine learning, NLP, and robotics are common types of A.I.
AI's global impact
AI will change the world, but probably faster than you think. A.I. already affects our daily lives. It improves our decision-making, efficiency, and productivity.
A.I. is transforming our lives and the global economy. It will create new business and job opportunities but eliminate others. Affected workers may face financial hardship.
AI examples:
OpenAI's GPT-3 text-generation
Developers can train, deploy, and manage models on GPT-3. It handles data preparation, model training, deployment, and inference for machine learning workloads. GPT-3 is easy to use for both experienced and new data scientists.
My team conducted an experiment. We needed to generate some blog posts for a website. We hired a blogger on Upwork. OpenAI created a blog post. The A.I.-generated blog post was of higher quality and lower cost.
MidjourneyAI's Art Contests
AI already affects artists. Artists use A.I. to create realistic 3D images and videos for digital art. A.I. is also used to generate new art ideas and methods.
MidjourneyAI and GigapixelAI won a contest last month. It's AI. created a beautiful piece of art that captured the contest's spirit. AI triumphs. It could open future doors.
After the art contest win, I registered to try out these new image generating A.I.s. In the MidjourneyAI chat forum, I noticed an artist's plea. The artist begged others to stop flooding RedBubble with AI-generated art.
Shutterstock and Getty Images have halted user uploads. AI-generated images flooded online marketplaces.
Imagining Videos with Meta
Meta released Make-a-Video this week. It's an A.I. app that creates videos from text. What you type creates a video.
This technology will impact TV, movies, and video games greatly. Imagine a movie or game that's personalized to your tastes. It's closer than you think.
Uses and Abuses of Deepfakes
Deepfake videos are computer-generated images of people. AI creates realistic images and videos of people.
Deepfakes are entertaining but have social implications. Porn introduced deepfakes in 2017. People put famous faces on porn actors and actresses without permission.
Soon, deepfakes were used to show dead actors/actresses or make them look younger. Carrie Fischer was included in films after her death using deepfake technology.
Deepfakes can be used to create fake news or manipulate public opinion, according to an AI.
Voices for Darth Vader and Iceman
James Earl Jones, who voiced Darth Vader, sold his voice rights this week. Aged actor won't be in those movies. Respeecher will use AI to mimic Jones's voice. This technology could change the entertainment industry. One actor can now voice many characters.
AI can generate realistic voice audio from text. Top Gun 2 actor Val Kilmer can't speak for medical reasons. Sonantic created Kilmer's voice from the movie script. This entertaining technology has social implications. It blurs authentic recordings and fake media.
Medical A.I. fights viruses
A team of Chinese scientists used machine learning to predict effective antiviral drugs last year. They started with a large dataset of virus-drug interactions. Researchers combined that with medication and virus information. Finally, they used machine learning to predict effective anti-virus medicines. This technology could solve medical problems.
AI ideas AI-generated Itself
OpenAI's GPT-3 predicted future A.I. uses. Here's what it told me:
AI will affect the economy. Businesses can operate more efficiently and reinvest resources with A.I.-enabled automation. AI can automate customer service tasks, reducing costs and improving satisfaction.
A.I. makes better pricing, inventory, and marketing decisions. AI automates tasks and makes decisions. A.I.-powered robots could help the elderly or disabled. Self-driving cars could reduce accidents.
A.I. predictive analytics can predict stock market or consumer behavior trends and patterns. A.I. also personalizes recommendations. sways. A.I. recommends products and movies. AI can generate new ideas based on data analysis.
Conclusion
A.I. will change business as it becomes more common. It will change how we live and work by creating growth and prosperity.
Exciting times, but also one which should give us all pause. Technology can be good or evil. We must use new technologies ethically, fairly, and honestly.
“The author generated some sentences in this text in part with GPT-3, OpenAI’s large-scale language-generation model. Upon generating draft language, the author reviewed, edited, and revised the language to their own liking and takes ultimate responsibility for the content of this publication. The text of this post was further edited using HemingWayApp. Many of the images used were generated using A.I. as described in the captions.”
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Ray Dalio
3 years ago
The latest “bubble indicator” readings.
As you know, I like to turn my intuition into decision rules (principles) that can be back-tested and automated to create a portfolio of alpha bets. I use one for bubbles. Having seen many bubbles in my 50+ years of investing, I described what makes a bubble and how to identify them in markets—not just stocks.
A bubble market has a high degree of the following:
- High prices compared to traditional values (e.g., by taking the present value of their cash flows for the duration of the asset and comparing it with their interest rates).
- Conditons incompatible with long-term growth (e.g., extrapolating past revenue and earnings growth rates late in the cycle).
- Many new and inexperienced buyers were drawn in by the perceived hot market.
- Broad bullish sentiment.
- Debt financing a large portion of purchases.
- Lots of forward and speculative purchases to profit from price rises (e.g., inventories that are more than needed, contracted forward purchases, etc.).
I use these criteria to assess all markets for bubbles. I have periodically shown you these for stocks and the stock market.
What Was Shown in January Versus Now
I will first describe the picture in words, then show it in charts, and compare it to the last update in January.
As of January, the bubble indicator showed that a) the US equity market was in a moderate bubble, but not an extreme one (ie., 70 percent of way toward the highest bubble, which occurred in the late 1990s and late 1920s), and b) the emerging tech companies (ie. As well, the unprecedented flood of liquidity post-COVID financed other bubbly behavior (e.g. SPACs, IPO boom, big pickup in options activity), making things bubbly. I showed which stocks were in bubbles and created an index of those stocks, which I call “bubble stocks.”
Those bubble stocks have popped. They fell by a third last year, while the S&P 500 remained flat. In light of these and other market developments, it is not necessarily true that now is a good time to buy emerging tech stocks.
The fact that they aren't at a bubble extreme doesn't mean they are safe or that it's a good time to get long. Our metrics still show that US stocks are overvalued. Once popped, bubbles tend to overcorrect to the downside rather than settle at “normal” prices.
The following charts paint the picture. The first shows the US equity market bubble gauge/indicator going back to 1900, currently at the 40% percentile. The charts also zoom in on the gauge in recent years, as well as the late 1920s and late 1990s bubbles (during both of these cases the gauge reached 100 percent ).
The chart below depicts the average bubble gauge for the most bubbly companies in 2020. Those readings are down significantly.
The charts below compare the performance of a basket of emerging tech bubble stocks to the S&P 500. Prices have fallen noticeably, giving up most of their post-COVID gains.
The following charts show the price action of the bubble slice today and in the 1920s and 1990s. These charts show the same market dynamics and two key indicators. These are just two examples of how a lot of debt financing stock ownership coupled with a tightening typically leads to a bubble popping.
Everything driving the bubbles in this market segment is classic—the same drivers that drove the 1920s bubble and the 1990s bubble. For instance, in the last couple months, it was how tightening can act to prick the bubble. Review this case study of the 1920s stock bubble (starting on page 49) from my book Principles for Navigating Big Debt Crises to grasp these dynamics.
The following charts show the components of the US stock market bubble gauge. Since this is a proprietary indicator, I will only show you some of the sub-aggregate readings and some indicators.
Each of these six influences is measured using a number of stats. This is how I approach the stock market. These gauges are combined into aggregate indices by security and then for the market as a whole. The table below shows the current readings of these US equity market indicators. It compares current conditions for US equities to historical conditions. These readings suggest that we’re out of a bubble.
1. How High Are Prices Relatively?
This price gauge for US equities is currently around the 50th percentile.
2. Is price reduction unsustainable?
This measure calculates the earnings growth rate required to outperform bonds. This is calculated by adding up the readings of individual securities. This indicator is currently near the 60th percentile for the overall market, higher than some of our other readings. Profit growth discounted in stocks remains high.
Even more so in the US software sector. Analysts' earnings growth expectations for this sector have slowed, but remain high historically. P/Es have reversed COVID gains but remain high historical.
3. How many new buyers (i.e., non-existing buyers) entered the market?
Expansion of new entrants is often indicative of a bubble. According to historical accounts, this was true in the 1990s equity bubble and the 1929 bubble (though our data for this and other gauges doesn't go back that far). A flood of new retail investors into popular stocks, which by other measures appeared to be in a bubble, pushed this gauge above the 90% mark in 2020. The pace of retail activity in the markets has recently slowed to pre-COVID levels.
4. How Broadly Bullish Is Sentiment?
The more people who have invested, the less resources they have to keep investing, and the more likely they are to sell. Market sentiment is now significantly negative.
5. Are Purchases Being Financed by High Leverage?
Leveraged purchases weaken the buying foundation and expose it to forced selling in a downturn. The leverage gauge, which considers option positions as a form of leverage, is now around the 50% mark.
6. To What Extent Have Buyers Made Exceptionally Extended Forward Purchases?
Looking at future purchases can help assess whether expectations have become overly optimistic. This indicator is particularly useful in commodity and real estate markets, where forward purchases are most obvious. In the equity markets, I look at indicators like capital expenditure, or how much businesses (and governments) invest in infrastructure, factories, etc. It reflects whether businesses are projecting future demand growth. Like other gauges, this one is at the 40th percentile.
What one does with it is a tactical choice. While the reversal has been significant, future earnings discounting remains high historically. In either case, bubbles tend to overcorrect (sell off more than the fundamentals suggest) rather than simply deflate. But I wanted to share these updated readings with you in light of recent market activity.
Matthew Cluff
3 years ago
GTO Poker 101
"GTO" (Game Theory Optimal) has been used a lot in poker recently. To clarify its meaning and application, the aim of this article is to define what it is, when to use it when playing, what strategies to apply for how to play GTO poker, for beginner and more advanced players!
Poker GTO
In poker, you can choose between two main winning strategies:
Exploitative play maximizes expected value (EV) by countering opponents' sub-optimal plays and weaker tendencies. Yes, playing this way opens you up to being exploited, but the weaker opponents you're targeting won't change their game to counteract this, allowing you to reap maximum profits over the long run.
GTO (Game-Theory Optimal): You try to play perfect poker, which forces your opponents to make mistakes (which is where almost all of your profit will be derived from). It mixes bluffs or semi-bluffs with value bets, clarifies bet sizes, and more.
GTO vs. Exploitative: Which is Better in Poker?
Before diving into GTO poker strategy, it's important to know which of these two play styles is more profitable for beginners and advanced players. The simple answer is probably both, but usually more exploitable.
Most players don't play GTO poker and can be exploited in their gameplay and strategy, allowing for more profits to be made using an exploitative approach. In fact, it’s only in some of the largest games at the highest stakes that GTO concepts are fully utilized and seen in practice, and even then, exploitative plays are still sometimes used.
Knowing, understanding, and applying GTO poker basics will create a solid foundation for your poker game. It's also important to understand GTO so you can deviate from it to maximize profits.
GTO Poker Strategy
According to Ed Miller's book "Poker's 1%," the most fundamental concept that only elite poker players understand is frequency, which could be in relation to cbets, bluffs, folds, calls, raises, etc.
GTO poker solvers (downloadable online software) give solutions for how to play optimally in any given spot and often recommend using mixed strategies based on select frequencies.
In a river situation, a solver may tell you to call 70% of the time and fold 30%. It may also suggest calling 50% of the time, folding 35% of the time, and raising 15% of the time (with a certain range of hands).
Frequencies are a fundamental and often unrecognized part of poker, but they run through these 5 GTO concepts.
1. Preflop ranges
To compensate for positional disadvantage, out-of-position players must open tighter hand ranges.
Premium starting hands aren't enough, though. Considering GTO poker ranges and principles, you want a good, balanced starting hand range from each position with at least some hands that can make a strong poker hand regardless of the flop texture (low, mid, high, disconnected, etc).
Below is a GTO preflop beginner poker chart for online 6-max play, showing which hand ranges one should open-raise with. Table positions are color-coded (see key below).
NOTE: For GTO play, it's advisable to use a mixed strategy for opening in the small blind, combining open-limps and open-raises for various hands. This cannot be illustrated with the color system used for the chart.
Choosing which hands to play is often a math problem, as discussed below.
Other preflop GTO poker charts include which hands to play after a raise, which to 3bet, etc. Solvers can help you decide which preflop hands to play (call, raise, re-raise, etc.).
2. Pot Odds
Always make +EV decisions that profit you as a poker player. Understanding pot odds (and equity) can help.
Postflop Pot Odds
Let’s say that we have JhTh on a board of 9h8h2s4c (open-ended straight-flush draw). We have $40 left and $50 in the pot. He has you covered and goes all-in. As calling or folding are our only options, playing GTO involves calculating whether a call is +EV or –EV. (The hand was empty.)
Any remaining heart, Queen, or 7 wins the hand. This means we can improve 15 of 46 unknown cards, or 32.6% of the time.
What if our opponent has a set? The 4h or 2h could give us a flush, but it could also give the villain a boat. If we reduce outs from 15 to 14.5, our equity would be 31.5%.
We must now calculate pot odds.
(bet/(our bet+pot)) = pot odds
= $50 / ($40 + $90)
= $40 / $130
= 30.7%
To make a profitable call, we need at least 30.7% equity. This is a profitable call as we have 31.5% equity (even if villain has a set). Yes, we will lose most of the time, but we will make a small profit in the long run, making a call correct.
Pot odds aren't just for draws, either. If an opponent bets 50% pot, you get 3 to 1 odds on a call, so you must win 25% of the time to be profitable. If your current hand has more than 25% equity against your opponent's perceived range, call.
Preflop Pot Odds
Preflop, you raise to 3bb and the button 3bets to 9bb. You must decide how to act. In situations like these, we can actually use pot odds to assist our decision-making.
This pot is:
(our open+3bet size+small blind+big blind)
(3bb+9bb+0.5bb+1bb)
= 13.5
This means we must call 6bb to win a pot of 13.5bb, which requires 30.7% equity against the 3bettor's range.
Three additional factors must be considered:
Being out of position on our opponent makes it harder to realize our hand's equity, as he can use his position to put us in tough spots. To profitably continue against villain's hand range, we should add 7% to our equity.
Implied Odds / Reverse Implied Odds: The ability to win or lose significantly more post-flop (than pre-flop) based on our remaining stack.
While statistics on 3bet stats can be gained with a large enough sample size (i.e. 8% 3bet stat from button), the numbers don't tell us which 8% of hands villain could be 3betting with. Both polarized and depolarized charts below show 8% of possible hands.
7.4% of hands are depolarized.
Polarized Hand range (7.54%):
Each hand range has different contents. We don't know if he 3bets some hands and calls or folds others.
Using an exploitable strategy can help you play a hand range correctly. The next GTO concept will make things easier.
3. Minimum Defense Frequency:
This concept refers to the % of our range we must continue with (by calling or raising) to avoid being exploited by our opponents. This concept is most often used off-table and is difficult to apply in-game.
These beginner GTO concepts will help your decision-making during a hand, especially against aggressive opponents.
MDF formula:
MDF = POT SIZE/(POT SIZE+BET SIZE)
Here's a poker GTO chart of common bet sizes and minimum defense frequency.
Take the number of hand combos in your starting hand range and use the MDF to determine which hands to continue with. Choose hands with the most playability and equity against your opponent's betting range.
Say you open-raise HJ and BB calls. Qh9h6c flop. Your opponent leads you for a half-pot bet. MDF suggests keeping 67% of our range.
Using the above starting hand chart, we can determine that the HJ opens 254 combos:
We must defend 67% of these hands, or 170 combos, according to MDF. Hands we should keep include:
Flush draws
Open-Ended Straight Draws
Gut-Shot Straight Draws
Overcards
Any Pair or better
So, our flop continuing range could be:
Some highlights:
Fours and fives have little chance of improving on the turn or river.
We only continue with AX hearts (with a flush draw) without a pair or better.
We'll also include 4 AJo combos, all of which have the Ace of hearts, and AcJh, which can block a backdoor nut flush combo.
Let's assume all these hands are called and the turn is blank (2 of spades). Opponent bets full-pot. MDF says we must defend 50% of our flop continuing range, or 85 of 170 combos, to be unexploitable. This strategy includes our best flush draws, straight draws, and made hands.
Here, we keep combining:
Nut flush draws
Pair + flush draws
GS + flush draws
Second Pair, Top Kicker+
One combo of JJ that doesn’t block the flush draw or backdoor flush draw.
On the river, we can fold our missed draws and keep our best made hands. When calling with weaker hands, consider blocker effects and card removal to avoid overcalling and decide which combos to continue.
4. Poker GTO Bet Sizing
To avoid being exploited, balance your bluffs and value bets. Your betting range depends on how much you bet (in relation to the pot). This concept only applies on the river, as draws (bluffs) on the flop and turn still have equity (and are therefore total bluffs).
On the flop, you want a 2:1 bluff-to-value-bet ratio. On the flop, there won't be as many made hands as on the river, and your bluffs will usually contain equity. The turn should have a "bluffing" ratio of 1:1. Use the chart below to determine GTO river bluff frequencies (relative to your bet size):
This chart relates to your opponent's pot odds. If you bet 50% pot, your opponent gets 3:1 odds and must win 25% of the time to call. Poker GTO theory suggests including 25% bluff combinations in your betting range so you're indifferent to your opponent calling or folding.
Best river bluffs don't block hands you want your opponent to have (or not have). For example, betting with missed Ace-high flush draws is often a mistake because you block a missed flush draw you want your opponent to have when bluffing on the river (meaning that it would subsequently be less likely he would have it, if you held two of the flush draw cards). Ace-high usually has some river showdown value.
If you had a 3-flush on the river and wanted to raise, you could bluff raise with AX combos holding the bluff suit Ace. Blocking the nut flush prevents your opponent from using that combo.
5. Bet Sizes and Frequency
GTO beginner strategies aren't just bluffs and value bets. They show how often and how much to bet in certain spots. Top players have benefited greatly from poker solvers, which we'll discuss next.
GTO Poker Software
In recent years, various poker GTO solvers have been released to help beginner, intermediate, and advanced players play balanced/GTO poker in various situations.
PokerSnowie and PioSolver are popular GTO and poker study programs.
While you can't compute players' hand ranges and what hands to bet or check with in real time, studying GTO play strategies with these programs will pay off. It will improve your poker thinking and understanding.
Solvers can help you balance ranges, choose optimal bet sizes, and master cbet frequencies.
GTO Poker Tournament
Late-stage tournaments have shorter stacks than cash games. In order to follow GTO poker guidelines, Nash charts have been created, tweaked, and used for many years (and also when to call, depending on what number of big blinds you have when you find yourself shortstacked).
The charts are for heads-up push/fold. In a multi-player game, the "pusher" chart can only be used if play is folded to you in the small blind. The "caller" chart can only be used if you're in the big blind and assumes a small blind "pusher" (with a much wider range than if a player in another position was open-shoving).
Divide the pusher chart's numbers by 2 to see which hand to use from the Button. Divide the original chart numbers by 4 to find the CO's pushing range. Some of the figures will be impossible to calculate accurately for the CO or positions to the right of the blinds because the chart's highest figure is "20+" big blinds, which is also used for a wide range of hands in the push chart.
Both of the GTO charts below are ideal for heads-up play, but exploitable HU shortstack strategies can lead to more +EV decisions against certain opponents. Following the charts will make your play GTO and unexploitable.
Poker pro Max Silver created the GTO push/fold software SnapShove. (It's accessible online at www.snapshove.com or as iOS or Android apps.)
Players can access GTO shove range examples in the full version. (You can customize the number of big blinds you have, your position, the size of the ante, and many other options.)
In Conclusion
Due to the constantly changing poker landscape, players are always improving their skills. Exploitable strategies often yield higher profit margins than GTO-based approaches, but knowing GTO beginner and advanced concepts can give you an edge for a few reasons.
It creates a solid gameplay base.
Having a baseline makes it easier to exploit certain villains.
You can avoid leveling wars with your opponents by making sound poker decisions based on GTO strategy.
It doesn't require assuming opponents' play styles.
Not results-oriented.
This is just the beginning of GTO and poker theory. Consider investing in the GTO poker solver software listed above to improve your game.
Farhan Ali Khan
2 years ago
Introduction to Zero-Knowledge Proofs: The Art of Proving Without Revealing
Zero-Knowledge Proofs for Beginners
Published here originally.
Introduction
I Spy—did you play as a kid? One person chose a room object, and the other had to guess it by answering yes or no questions. I Spy was entertaining, but did you know it could teach you cryptography?
Zero Knowledge Proofs let you show your pal you know what they picked without exposing how. Math replaces electronics in this secret spy mission. Zero-knowledge proofs (ZKPs) are sophisticated cryptographic tools that allow one party to prove they have particular knowledge without revealing it. This proves identification and ownership, secures financial transactions, and more. This article explains zero-knowledge proofs and provides examples to help you comprehend this powerful technology.
What is a Proof of Zero Knowledge?
Zero-knowledge proofs prove a proposition is true without revealing any other information. This lets the prover show the verifier that they know a fact without revealing it. So, a zero-knowledge proof is like a magician's trick: the prover proves they know something without revealing how or what. Complex mathematical procedures create a proof the verifier can verify.
Want to find an easy way to test it out? Try out with tis awesome example! ZK Crush
Describe it as if I'm 5
Alex and Jack found a cave with a center entrance that only opens when someone knows the secret. Alex knows how to open the cave door and wants to show Jack without telling him.
Alex and Jack name both pathways (let’s call them paths A and B).
In the first phase, Alex is already inside the cave and is free to select either path, in this case A or B.
As Alex made his decision, Jack entered the cave and asked him to exit from the B path.
Jack can confirm that Alex really does know the key to open the door because he came out for the B path and used it.
To conclude, Alex and Jack repeat:
Alex walks into the cave.
Alex follows a random route.
Jack walks into the cave.
Alex is asked to follow a random route by Jack.
Alex follows Jack's advice and heads back that way.
What is a Zero Knowledge Proof?
At a high level, the aim is to construct a secure and confidential conversation between the prover and the verifier, where the prover convinces the verifier that they have the requisite information without disclosing it. The prover and verifier exchange messages and calculate in each round of the dialogue.
The prover uses their knowledge to prove they have the information the verifier wants during these rounds. The verifier can verify the prover's truthfulness without learning more by checking the proof's mathematical statement or computation.
Zero knowledge proofs use advanced mathematical procedures and cryptography methods to secure communication. These methods ensure the evidence is authentic while preventing the prover from creating a phony proof or the verifier from extracting unnecessary information.
ZK proofs require examples to grasp. Before the examples, there are some preconditions.
Criteria for Proofs of Zero Knowledge
Completeness: If the proposition being proved is true, then an honest prover will persuade an honest verifier that it is true.
Soundness: If the proposition being proved is untrue, no dishonest prover can persuade a sincere verifier that it is true.
Zero-knowledge: The verifier only realizes that the proposition being proved is true. In other words, the proof only establishes the veracity of the proposition being supported and nothing more.
The zero-knowledge condition is crucial. Zero-knowledge proofs show only the secret's veracity. The verifier shouldn't know the secret's value or other details.
Example after example after example
To illustrate, take a zero-knowledge proof with several examples:
Initial Password Verification Example
You want to confirm you know a password or secret phrase without revealing it.
Use a zero-knowledge proof:
You and the verifier settle on a mathematical conundrum or issue, such as figuring out a big number's components.
The puzzle or problem is then solved using the hidden knowledge that you have learned. You may, for instance, utilize your understanding of the password to determine the components of a particular number.
You provide your answer to the verifier, who can assess its accuracy without knowing anything about your private data.
You go through this process several times with various riddles or issues to persuade the verifier that you actually are aware of the secret knowledge.
You solved the mathematical puzzles or problems, proving to the verifier that you know the hidden information. The proof is zero-knowledge since the verifier only sees puzzle solutions, not the secret information.
In this scenario, the mathematical challenge or problem represents the secret, and solving it proves you know it. The evidence does not expose the secret, and the verifier just learns that you know it.
My simple example meets the zero-knowledge proof conditions:
Completeness: If you actually know the hidden information, you will be able to solve the mathematical puzzles or problems, hence the proof is conclusive.
Soundness: The proof is sound because the verifier can use a publicly known algorithm to confirm that your answer to the mathematical conundrum or difficulty is accurate.
Zero-knowledge: The proof is zero-knowledge because all the verifier learns is that you are aware of the confidential information. Beyond the fact that you are aware of it, the verifier does not learn anything about the secret information itself, such as the password or the factors of the number. As a result, the proof does not provide any new insights into the secret.
Explanation #2: Toss a coin.
One coin is biased to come up heads more often than tails, while the other is fair (i.e., comes up heads and tails with equal probability). You know which coin is which, but you want to show a friend you can tell them apart without telling them.
Use a zero-knowledge proof:
One of the two coins is chosen at random, and you secretly flip it more than once.
You show your pal the following series of coin flips without revealing which coin you actually flipped.
Next, as one of the two coins is flipped in front of you, your friend asks you to tell which one it is.
Then, without revealing which coin is which, you can use your understanding of the secret order of coin flips to determine which coin your friend flipped.
To persuade your friend that you can actually differentiate between the coins, you repeat this process multiple times using various secret coin-flipping sequences.
In this example, the series of coin flips represents the knowledge of biased and fair coins. You can prove you know which coin is which without revealing which is biased or fair by employing a different secret sequence of coin flips for each round.
The evidence is zero-knowledge since your friend does not learn anything about which coin is biased and which is fair other than that you can tell them differently. The proof does not indicate which coin you flipped or how many times you flipped it.
The coin-flipping example meets zero-knowledge proof requirements:
Completeness: If you actually know which coin is biased and which is fair, you should be able to distinguish between them based on the order of coin flips, and your friend should be persuaded that you can.
Soundness: Your friend may confirm that you are correctly recognizing the coins by flipping one of them in front of you and validating your answer, thus the proof is sound in that regard. Because of this, your acquaintance can be sure that you are not just speculating or picking a coin at random.
Zero-knowledge: The argument is that your friend has no idea which coin is biased and which is fair beyond your ability to distinguish between them. Your friend is not made aware of the coin you used to make your decision or the order in which you flipped the coins. Consequently, except from letting you know which coin is biased and which is fair, the proof does not give any additional information about the coins themselves.
Figure out the prime number in Example #3.
You want to prove to a friend that you know their product n=pq without revealing p and q. Zero-knowledge proof?
Use a variant of the RSA algorithm. Method:
You determine a new number s = r2 mod n by computing a random number r.
You email your friend s and a declaration that you are aware of the values of p and q necessary for n to equal pq.
A random number (either 0 or 1) is selected by your friend and sent to you.
You send your friend r as evidence that you are aware of the values of p and q if e=0. You calculate and communicate your friend's s/r if e=1.
Without knowing the values of p and q, your friend can confirm that you know p and q (in the case where e=0) or that s/r is a legitimate square root of s mod n (in the situation where e=1).
This is a zero-knowledge proof since your friend learns nothing about p and q other than their product is n and your ability to verify it without exposing any other information. You can prove that you know p and q by sending r or by computing s/r and sending that instead (if e=1), and your friend can verify that you know p and q or that s/r is a valid square root of s mod n without learning anything else about their values. This meets the conditions of completeness, soundness, and zero-knowledge.
Zero-knowledge proofs satisfy the following:
Completeness: The prover can demonstrate this to the verifier by computing q = n/p and sending both p and q to the verifier. The prover also knows a prime number p and a factorization of n as p*q.
Soundness: Since it is impossible to identify any pair of numbers that correctly factorize n without being aware of its prime factors, the prover is unable to demonstrate knowledge of any p and q that do not do so.
Zero knowledge: The prover only admits that they are aware of a prime number p and its associated factor q, which is already known to the verifier. This is the extent of their knowledge of the prime factors of n. As a result, the prover does not provide any new details regarding n's prime factors.
Types of Proofs of Zero Knowledge
Each zero-knowledge proof has pros and cons. Most zero-knowledge proofs are:
Interactive Zero Knowledge Proofs: The prover and the verifier work together to establish the proof in this sort of zero-knowledge proof. The verifier disputes the prover's assertions after receiving a sequence of messages from the prover. When the evidence has been established, the prover will employ these new problems to generate additional responses.
Non-Interactive Zero Knowledge Proofs: For this kind of zero-knowledge proof, the prover and verifier just need to exchange a single message. Without further interaction between the two parties, the proof is established.
A statistical zero-knowledge proof is one in which the conclusion is reached with a high degree of probability but not with certainty. This indicates that there is a remote possibility that the proof is false, but that this possibility is so remote as to be unimportant.
Succinct Non-Interactive Argument of Knowledge (SNARKs): SNARKs are an extremely effective and scalable form of zero-knowledge proof. They are utilized in many different applications, such as machine learning, blockchain technology, and more. Similar to other zero-knowledge proof techniques, SNARKs enable one party—the prover—to demonstrate to another—the verifier—that they are aware of a specific piece of information without disclosing any more information about that information.
The main characteristic of SNARKs is their succinctness, which refers to the fact that the size of the proof is substantially smaller than the amount of the original data being proved. Because to its high efficiency and scalability, SNARKs can be used in a wide range of applications, such as machine learning, blockchain technology, and more.
Uses for Zero Knowledge Proofs
ZKP applications include:
Verifying Identity ZKPs can be used to verify your identity without disclosing any personal information. This has uses in access control, digital signatures, and online authentication.
Proof of Ownership ZKPs can be used to demonstrate ownership of a certain asset without divulging any details about the asset itself. This has uses for protecting intellectual property, managing supply chains, and owning digital assets.
Financial Exchanges Without disclosing any details about the transaction itself, ZKPs can be used to validate financial transactions. Cryptocurrency, internet payments, and other digital financial transactions can all use this.
By enabling parties to make calculations on the data without disclosing the data itself, Data Privacy ZKPs can be used to preserve the privacy of sensitive data. Applications for this can be found in the financial, healthcare, and other sectors that handle sensitive data.
By enabling voters to confirm that their vote was counted without disclosing how they voted, elections ZKPs can be used to ensure the integrity of elections. This is applicable to electronic voting, including internet voting.
Cryptography Modern cryptography's ZKPs are a potent instrument that enable secure communication and authentication. This can be used for encrypted messaging and other purposes in the business sector as well as for military and intelligence operations.
Proofs of Zero Knowledge and Compliance
Kubernetes and regulatory compliance use ZKPs in many ways. Examples:
Security for Kubernetes ZKPs offer a mechanism to authenticate nodes without disclosing any sensitive information, enhancing the security of Kubernetes clusters. ZKPs, for instance, can be used to verify, without disclosing the specifics of the program, that the nodes in a Kubernetes cluster are running permitted software.
Compliance Inspection Without disclosing any sensitive information, ZKPs can be used to demonstrate compliance with rules like the GDPR, HIPAA, and PCI DSS. ZKPs, for instance, can be used to demonstrate that data has been encrypted and stored securely without divulging the specifics of the mechanism employed for either encryption or storage.
Access Management Without disclosing any private data, ZKPs can be used to offer safe access control to Kubernetes resources. ZKPs can be used, for instance, to demonstrate that a user has the necessary permissions to access a particular Kubernetes resource without disclosing the details of those permissions.
Safe Data Exchange Without disclosing any sensitive information, ZKPs can be used to securely transmit data between Kubernetes clusters or between several businesses. ZKPs, for instance, can be used to demonstrate the sharing of a specific piece of data between two parties without disclosing the details of the data itself.
Kubernetes deployments audited Without disclosing the specifics of the deployment or the data being processed, ZKPs can be used to demonstrate that Kubernetes deployments are working as planned. This can be helpful for auditing purposes and for ensuring that Kubernetes deployments are operating as planned.
ZKPs preserve data and maintain regulatory compliance by letting parties prove things without revealing sensitive information. ZKPs will be used more in Kubernetes as it grows.