aelf Dictionary: A List of Terms and Slangs to Sound Like a Blockchain and AI Pro

Recall the day you first stepped foot into the Web3 and crypto world. Did you find yourself reflexively Googling what HODL, NFT, and DAO stood for? Or were you left wondering what on Earth was dAppening when someone said BTC was going 'to the moon'? It was a lot to take in. Just when you're all caught up, AI came along and swerved us on another learning curve. 'NLP' is no longer Neuro-linguistic Programming as much as Natural Language Processing these days. Although it covers A to Z, this non-exhaustive list of terminologies and slangs in the blockchain and AI lexicons should be a handy companion for times when such conversations come up. Blockchain Airdrop: Free distribution of a cryptocurrency or token, often as a promotional tactic or to reward early adopters Altcoin: Any cryptocurrency other than Bitcoin and Ethereum ATH: All-Time High - The highest price a cryptocurrency has ever reached Bagholder: Someone who holds onto a cryptocurrency that has significantly decreased in value, hoping it will recover Bitcoin Maximalist: Someone who believes Bitcoin is the only cryptocurrency that matters and all others are inferior Block: A collection of transactions recorded on the blockchain Blockchain: A decentralised, distributed ledger that records transactions across multiple computers BTFD: Buy The F****** Dip - An encouragement to buy a cryptocurrency when its price drops BUIDL: A stylised expression of 'Build'. It emphasises the importance of building useful Web3 projects, particularly during market downturns, as opposed to focusing only on price speculation Bull Market: A market where prices are rising or are expected to rise Burn: The process of destroying cryptocurrency tokens, usually to reduce supply and increase value Cold Wallet: A physical device that stores cryptocurrency offline, offering increased security Consensus: The process by which nodes on a blockchain network agree on the validity of transactions Cryptocurrency: A digital or virtual currency that uses cryptography for security DAO: Decentralised Autonomous Organisation - An organisation run entirely on the blockchain, with rules encoded in smart contracts dApp: Decentralised Application - An application that runs on a blockchain network DeFi: Decentralised Finance - Financial applications built on blockchain technology, often offering peer-to-peer services Degen: Short for 'degenerate', it refers to someone who engages in high-risk, speculative trading or investments in the crypto space, often without conducting proper research Diamond Hands: Someone who holds onto their cryptocurrency investments through market volatility, refusing to sell DYOR: Do Your Own Research - An important reminder to research any investment before committing ERC-20: A technical standard for creating tokens on the Ethereum blockchain Ethereum: A blockchain platform that enables the creation of smart contracts and decentralised applications FOMO: Fear Of Missing Out - The anxiety of missing out on a potentially profitable investment Fork: A split in a blockchain network, resulting in two separate chains FUD: Fear, Uncertainty, and Doubt - Negative information spread about a cryptocurrency to influence its price Gas: The fee required to conduct a transaction or execute a smart contract on the Ethereum network Genesis Block: The first block ever mined on a blockchain HODL: Hold On for Dear Life - Originally a misspelling of 'Hold', it now means holding onto cryptocurrency despite market fluctuations ICO: Initial Coin Offering - A fundraising method where a new cryptocurrency project sells tokens to investors KYC: Know Your Customer - The process of verifying the identity of customers to prevent fraud and money laundering Layer 1: The base level or main blockchain architecture. It is responsible for core functions such as consensus mechanism, transaction processing, security, and data availability Mainnet: The primary blockchain network, or a 'live environment', where actual transactions occur Market Cap: Market Capitalisation - The total value of a cryptocurrency, calculated by multiplying the price by the circulating supply Mining: The process of verifying and adding transactions to the blockchain, often rewarded with cryptocurrency NFT: Non-Fungible Token - A unique digital asset representing ownership of a specific item or piece of content Node: A computer connected to a blockchain network that helps validate and relay transactions Oracle: A service that provides real-world data to smart contracts on the blockchain Paper Wallet: A physical printout of cryptocurrency private keys, used for offline storage Peer-to-Peer (P2P): Direct interaction between two parties without a central intermediary Private Key: A secret code used to access and manage cryptocurrency holdings Proof of Stake (PoS): A consensus mechanism where validators are chosen based on the number of coins they hold and are willing to 'stake' Proof of Work (PoW): A consensus mechanism where miners solve complex mathematical problems to validate transactions and create new blocks Pump and Dump: A scheme where the price of a cryptocurrency is artificially inflated (pumped) and then sold off (dumped) for profit Quantum Computing: A potential future technology that might impact the security of cryptographic algorithms used in blockchain Rekt: A term used to describe someone who has suffered significant financial losses in cryptocurrency trading Satoshi Nakamoto: The pseudonymous creator of Bitcoin Shitcoin: A cryptocurrency with little to no value or a perceived scam Smart Contract: A self-executing contract with the terms of the agreement directly written into lines of code Stablecoin: A cryptocurrency designed to maintain a stable value, often pegged to a fiat currency like the U.S. dollar Testnet: A blockchain network used for testing and development purposes before launching on the mainnet Token: A digital asset built on an existing blockchain, often representing a specific utility or value within a project TPS (Transactions Per Second): A metric used to measure the speed of a blockchain network To the Moon: A term used to describe a cryptocurrency's price skyrocketing Wallet: A software or hardware application used to store, send, and receive cryptocurrency Whale: An individual or entity that holds a large amount of cryptocurrency, potentially influencing the market Whitelist: A list of approved participants, often used in ICOs or token sales Yield Farming: The practice of earning interest or rewards by locking up cryptocurrencies in DeFi protocols Zero-Knowledge Proof: A cryptographic method where one party can prove to another that a statement is true without revealing the underlying information Artificial Intelligence AI: Artificial Intelligence - The simulation of human intelligence processes by machines, especially computer systems AGI: Artificial General Intelligence - A hypothetical AI that possesses the ability to understand or learn any intellectual task that a human being can Algorithm: A set of rules or instructions given to an AI, neural network, or computer program to help it learn on its own. It is also a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer. Alignment: The process of ensuring that AI systems are designed and developed in a way that aligns with human values and goals Anthropomorphism: The attribution of human characteristics or behavior to AI systems Backpropagation: An algorithm used in training neural networks to adjust the weights and biases based on the error in the output Bias: Systematic errors in AI systems that lead to unfair or discriminatory outcomes Big Data: Large, complex data sets that require advanced analysis tools, often used in AI and machine learning applications Black Box: An AI system whose internal workings are not easily understood or interpretable Chatbot: An AI program designed to simulate conversation with human users, especially over the internet Cognitive Computing: A field of AI that focuses on building systems that can reason, learn, and interact naturally with humans Computer Vision: A field of AI that enables machines to interpret and understand visual information from the world, such as images and videos Convolutional Neural Network (CNN): A type of neural network commonly used for image and video recognition tasks Data Augmentation: The process of creating new training data by applying transformations to existing data, such as rotations, flips, or colour changes Deep Learning: A subset of machine learning that uses artificial neural networks with multiple layers to learn from large amounts of data Data Mining: The process of discovering patterns in large data sets, often used in AI-driven analytics Embeddings: A way of representing words, phrases, or other data as numerical vectors in a high-dimensional space Emergent Behavior: Unexpected or unintended behaviors that arise from the complex interactions within an AI system Expert System: An AI program that mimics the decision-making abilities of a human expert in a specific domain Explainable AI (XAI): A field of AI that focuses on developing techniques to make AI systems more transparent and understandable Generative Adversarial Network (GAN): A type of AI model that involves two neural networks competing against each other to generate realistic data. GPT (Generative Pre-trained Transformer): A type of large language model used for generating human-like text Hallucination: An AI generating outputs that are nonsensical or unrelated to the input Heuristics: Techniques used to solve problems faster when traditional methods are too slow IoT (Internet of Things): The network of physical devices that collect and exchange data, often integrated with AI for automation Inference: The process of using a trained AI model to make predictions or classifications on new data Jupyter Notebook: An open-source web application used for coding, visualising, and documenting machine learning and AI experiments K-Means: A popular clustering algorithm used in unsupervised machine learning Knowledge Graph: A structured representation of real-world entities and their relationships, often used in AI to enhance understanding and search capabilities Large Language Model (LLM): An AI model trained on a massive dataset of text and code, capable of generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way Machine Learning (ML): A branch of AI where algorithms learn from data to make decisions or predictions Model: The result of training a machine learning algorithm with data, used to make predictions Natural Language Processing (NLP): A field of AI that focuses on enabling machines to understand, interpret, and generate natural human language Neural Network: A computing system inspired by the human brain, consisting of interconnected nodes (neurons) that process and transmit information Overfitting: A phenomenon in machine learning where a model learns the training data too well, performing poorly on new, unseen data Prompt Engineering: The process of designing and crafting effective prompts to elicit desired responses from AI models Python: A popular programming language used extensively in AI and machine learning projects Quantum Machine Learning: A field that combines quantum computing with machine learning algorithms, aiming to achieve better computational efficiency Reinforcement Learning: A type of machine learning where an agent learns to take actions in an environment to maximise a reward signal Supervised Learning: A type of machine learning where an algorithm learns from labeled training data to make predictions or classifications on new data Transformer: A type of neural network architecture that has revolutionised natural language processing tasks Transfer Learning: A technique in machine learning where a pre-trained model is used as a starting point for a new task, saving time and resources Turing Test: A test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human Unsupervised Learning: A type of machine learning where an algorithm learns from unlabeled data to discover patterns or structures in the data Underfitting: A problem in machine learning where a model is too simple and fails to capture the underlying patterns in the data, leading to poor performance on both training and new data Weights: The parameters within a neural network that are adjusted during training to minimise error and improve the model’s predictions YOLO (You Only Look Once): A real-time object detection algorithm that processes images in one pass, widely used in computer vision tasks Zero-shot Learning: A machine learning paradigm where a model can make predictions on classes it was never explicitly trained on by using information from related tasks or classes Now that you've gotten savvy on the common slangs and abbreviations, many of them are apt descriptions of aelf as a layer 1 AI blockchain. Since the incorporation of AI technologies into its platform, aelf has offered an intuitive AI chatbot to answer any user-generated enquiries on digital platforms, and NLP models like GPT-4 to simplify smart contract creation for Web3 developers. The aelf infrastructure, consisting of a customisable multi-chain structure, is designed to power the future of decentralised applications, especially in the AI space. With its innovative AEDPoS consensus mechanism and focus on scalability, aelf is paving the way for a seamless convergence of AI and blockchain, and in turn, compelling Web3 solutions to be applied to the real world. *Disclaimer: The information provided on this blog does not constitute investment advice, financial advice, trading advice, or any other form of professional advice. aelf makes no guarantees or warranties about the accuracy, completeness, or timeliness of the information on this blog. You should not make any investment decisions based solely on the information provided on this blog. You should always consult with a qualified financial or legal advisor before making any investment decisions. About aelf aelf, an AI-enhanced Layer 1 blockchain network, leverages the robust C# programming language for efficiency and scalability across its sophisticated multi-layered architecture. Founded in 2017 with its global hub in Singapore, aelf is a pioneer in the industry, leading Asia in evolving blockchain with state-of-the-art AI integration and modular Layer 2 ZK Rollup technology, ensuring an efficient, low-cost, and highly secure platform that is both developer and end-user friendly. Aligned with its progressive vision, aelf is committed to fostering innovation within its ecosystem and advancing Web3 and AI technology adoption. For more information about aelf, please refer to our Whitepaper V2.0. Stay connected with our community: Website | X | Telegram | Discord Recall the day you first stepped foot into the Web3 and crypto world. Did you find yourself reflexively Googling what HODL, NFT , and DAO stood for? Or were you left wondering what on Earth was dAppening when someone said BTC was going 'to the moon'? NFT DAO dAppening BTC It was a lot to take in. Just when you're all caught up, AI came along and swerved us on another learning curve. 'NLP' is no longer Neuro-linguistic Programming as much as Natural Language Processing these days. AI came along Although it covers A to Z, this non-exhaustive list of terminologies and slangs in the blockchain and AI lexicons should be a handy companion for times when such conversations come up. Blockchain Blockchain Airdrop: Free distribution of a cryptocurrency or token, often as a promotional tactic or to reward early adopters Airdrop: Altcoin: Any cryptocurrency other than Bitcoin and Ethereum Altcoin: Ethereum ATH: All-Time High - The highest price a cryptocurrency has ever reached ATH: Bagholder: Someone who holds onto a cryptocurrency that has significantly decreased in value, hoping it will recover Bagholder: Bitcoin Maximalist: Someone who believes Bitcoin is the only cryptocurrency that matters and all others are inferior Bitcoin Maximalist: Block: A collection of transactions recorded on the blockchain Block: Blockchain: A decentralised, distributed ledger that records transactions across multiple computers Blockchain: decentralised, distributed ledger BTFD: Buy The F****** Dip - An encouragement to buy a cryptocurrency when its price drops BTFD: BUIDL : A stylised expression of 'Build'. It emphasises the importance of building useful Web3 projects, particularly during market downturns, as opposed to focusing only on price speculation BUIDL Bull Market: A market where prices are rising or are expected to rise Bull Market: Burn: The process of destroying cryptocurrency tokens, usually to reduce supply and increase value Burn: Cold Wallet: A physical device that stores cryptocurrency offline, offering increased security Cold Wallet: Consensus: The process by which nodes on a blockchain network agree on the validity of transactions Consensus: Cryptocurrency: A digital or virtual currency that uses cryptography for security Cryptocurrency: DAO: Decentralised Autonomous Organisation - An organisation run entirely on the blockchain, with rules encoded in smart contracts DAO: smart contracts dApp: Decentralised Application - An application that runs on a blockchain network dApp: DeFi: Decentralised Finance - Financial applications built on blockchain technology, often offering peer-to-peer services DeFi: Degen : Short for 'degenerate', it refers to someone who engages in high-risk, speculative trading or investments in the crypto space, often without conducting proper research Degen trading or investments Diamond Hands: Someone who holds onto their cryptocurrency investments through market volatility, refusing to sell Diamond Hands: DYOR: Do Your Own Research - An important reminder to research any investment before committing DYOR: ERC-20: A technical standard for creating tokens on the Ethereum blockchain ERC-20: Ethereum: A blockchain platform that enables the creation of smart contracts and decentralised applications Ethereum: FOMO: Fear Of Missing Out - The anxiety of missing out on a potentially profitable investment FOMO: Fear Of Missing Out Fork: A split in a blockchain network, resulting in two separate chains Fork: FUD: Fear, Uncertainty, and Doubt - Negative information spread about a cryptocurrency to influence its price FUD: Gas: The fee required to conduct a transaction or execute a smart contract on the Ethereum network Gas: Genesis Block: The first block ever mined on a blockchain Genesis Block: HODL: Hold On for Dear Life - Originally a misspelling of 'Hold', it now means holding onto cryptocurrency despite market fluctuations HODL: ICO: Initial Coin Offering - A fundraising method where a new cryptocurrency project sells tokens to investors ICO: KYC: Know Your Customer - The process of verifying the identity of customers to prevent fraud and money laundering KYC: Layer 1: The base level or main blockchain architecture. It is responsible for core functions such as consensus mechanism, transaction processing, security, and data availability Layer 1: base level Mainnet: The primary blockchain network, or a ' live environment ', where actual transactions occur Mainnet: live environment Market Cap: Market Capitalisation - The total value of a cryptocurrency, calculated by multiplying the price by the circulating supply Market Cap: Mining: The process of verifying and adding transactions to the blockchain, often rewarded with cryptocurrency Mining: NFT: Non-Fungible Token - A unique digital asset representing ownership of a specific item or piece of content NFT: Node: A computer connected to a blockchain network that helps validate and relay transactions Node: Oracle: A service that provides real-world data to smart contracts on the blockchain Oracle: Paper Wallet: A physical printout of cryptocurrency private keys, used for offline storage Paper Wallet: Peer-to-Peer (P2P): Direct interaction between two parties without a central intermediary Peer-to-Peer (P2P): Private Key: A secret code used to access and manage cryptocurrency holdings Private Key: Proof of Stake (PoS): A consensus mechanism where validators are chosen based on the number of coins they hold and are willing to ' stake ' Proof of Stake (PoS): stake Proof of Work (PoW): A consensus mechanism where miners solve complex mathematical problems to validate transactions and create new blocks Proof of Work (PoW): Pump and Dump: A scheme where the price of a cryptocurrency is artificially inflated (pumped) and then sold off (dumped) for profit Pump and Dump: Quantum Computing : A potential future technology that might impact the security of cryptographic algorithms used in blockchain Quantum Computing Rekt: A term used to describe someone who has suffered significant financial losses in cryptocurrency trading Rekt: Satoshi Nakamoto: The pseudonymous creator of Bitcoin Satoshi Nakamoto: Shitcoin: A cryptocurrency with little to no value or a perceived scam Shitcoin: Smart Contract: A self-executing contract with the terms of the agreement directly written into lines of code Smart Contract: Stablecoin: A cryptocurrency designed to maintain a stable value, often pegged to a fiat currency like the U.S. dollar Stablecoin: Testnet: A blockchain network used for testing and development purposes before launching on the mainnet Testnet: testing and development Token: A digital asset built on an existing blockchain, often representing a specific utility or value within a project Token: TPS (Transactions Per Second) : A metric used to measure the speed of a blockchain network TPS (Transactions Per Second) To the Moon : A term used to describe a cryptocurrency's price skyrocketing To the Moon Wallet: A software or hardware application used to store, send, and receive cryptocurrency Wallet: store, send, and receive cryptocurrency Whale: An individual or entity that holds a large amount of cryptocurrency, potentially influencing the market Whale: Whitelist: A list of approved participants, often used in ICOs or token sales Whitelist: Yield Farming : The practice of earning interest or rewards by locking up cryptocurrencies in DeFi protocols Yield Farming locking up cryptocurrencies in DeFi protocols Zero-Knowledge Proof : A cryptographic method where one party can prove to another that a statement is true without revealing the underlying information Zero-Knowledge Proof cryptographic method Artificial Intelligence Artificial Intelligence AI: Artificial Intelligence - The simulation of human intelligence processes by machines, especially computer systems AI: AGI: Artificial General Intelligence - A hypothetical AI that possesses the ability to understand or learn any intellectual task that a human being can AGI: Algorithm: A set of rules or instructions given to an AI, neural network, or computer program to help it learn on its own. It is also a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer. Algorithm: Alignment: The process of ensuring that AI systems are designed and developed in a way that aligns with human values and goals Alignment: Anthropomorphism: The attribution of human characteristics or behavior to AI systems Anthropomorphism: Backpropagation: An algorithm used in training neural networks to adjust the weights and biases based on the error in the output Backpropagation: Bias: Systematic errors in AI systems that lead to unfair or discriminatory outcomes Bias: Big Data : Large, complex data sets that require advanced analysis tools, often used in AI and machine learning applications Big Data Black Box: An AI system whose internal workings are not easily understood or interpretable Black Box: Chatbot: An AI program designed to simulate conversation with human users , especially over the internet Chatbot: simulate conversation with human users Cognitive Computing: A field of AI that focuses on building systems that can reason, learn, and interact naturally with humans Cognitive Computing: Computer Vision: A field of AI that enables machines to interpret and understand visual information from the world, such as images and videos Computer Vision: Convolutional Neural Network (CNN): A type of neural network commonly used for image and video recognition tasks Convolutional Neural Network (CNN): Data Augmentation: The process of creating new training data by applying transformations to existing data, such as rotations, flips, or colour changes Data Augmentation: Deep Learning: A subset of machine learning that uses artificial neural networks with multiple layers to learn from large amounts of data Deep Learning: Data Mining : The process of discovering patterns in large data sets, often used in AI-driven analytics Data Mining Embeddings: A way of representing words, phrases, or other data as numerical vectors in a high-dimensional space Embeddings: Emergent Behavior: Unexpected or unintended behaviors that arise from the complex interactions within an AI system Emergent Behavior: Expert System : An AI program that mimics the decision-making abilities of a human expert in a specific domain Expert System Explainable AI (XAI): A field of AI that focuses on developing techniques to make AI systems more transparent and understandable Explainable AI (XAI): Generative Adversarial Network (GAN): A type of AI model that involves two neural networks competing against each other to generate realistic data. Generative Adversarial Network (GAN): GPT (Generative Pre-trained Transformer) : A type of large language model used for generating human-like text GPT (Generative Pre-trained Transformer) Hallucination: An AI generating outputs that are nonsensical or unrelated to the input Hallucination: Heuristics : Techniques used to solve problems faster when traditional methods are too slow Heuristics IoT (Internet of Things) : The network of physical devices that collect and exchange data, often integrated with AI for automation IoT (Internet of Things) Inference : The process of using a trained AI model to make predictions or classifications on new data Inference Jupyter Notebook : An open-source web application used for coding, visualising, and documenting machine learning and AI experiments Jupyter Notebook K-Means : A popular clustering algorithm used in unsupervised machine learning K-Means Knowledge Graph : A structured representation of real-world entities and their relationships, often used in AI to enhance understanding and search capabilities Knowledge Graph Large Language Model (LLM): An AI model trained on a massive dataset of text and code, capable of generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way Large Language Model (LLM): Machine Learning (ML) : A branch of AI where algorithms learn from data to make decisions or predictions Machine Learning (ML) Model : The result of training a machine learning algorithm with data, used to make predictions Model Natural Language Processing (NLP): A field of AI that focuses on enabling machines to understand, interpret, and generate natural human language Natural Language Processing (NLP): Neural Network: A computing system inspired by the human brain, consisting of interconnected nodes (neurons) that process and transmit information Neural Network: Overfitting: A phenomenon in machine learning where a model learns the training data too well, performing poorly on new, unseen data Overfitting: Prompt Engineering: The process of designing and crafting effective prompts to elicit desired responses from AI models Prompt Engineering: Python : A popular programming language used extensively in AI and machine learning projects Python Quantum Machine Learning : A field that combines quantum computing with machine learning algorithms, aiming to achieve better computational efficiency Quantum Machine Learning Reinforcement Learning: A type of machine learning where an agent learns to take actions in an environment to maximise a reward signal Reinforcement Learning: Supervised Learning: A type of machine learning where an algorithm learns from labeled training data to make predictions or classifications on new data Supervised Learning: Transformer: A type of neural network architecture that has revolutionised natural language processing tasks Transformer: Transfer Learning: A technique in machine learning where a pre-trained model is used as a starting point for a new task, saving time and resources Transfer Learning: Turing Test: A test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human Turing Test: Unsupervised Learning: A type of machine learning where an algorithm learns from unlabeled data to discover patterns or structures in the data Unsupervised Learning: Underfitting : A problem in machine learning where a model is too simple and fails to capture the underlying patterns in the data, leading to poor performance on both training and new data Underfitting Weights : The parameters within a neural network that are adjusted during training to minimise error and improve the model’s predictions Weights YOLO (You Only Look Once) : A real-time object detection algorithm that processes images in one pass, widely used in computer vision tasks YOLO (You Only Look Once) Zero-shot Learning : A machine learning paradigm where a model can make predictions on classes it was never explicitly trained on by using information from related tasks or classes Zero-shot Learning Now that you've gotten savvy on the common slangs and abbreviations, many of them are apt descriptions of aelf as a layer 1 AI blockchain . Since the incorporation of AI technologies into its platform, aelf has offered an intuitive AI chatbot to answer any user-generated enquiries on digital platforms, and NLP models like GPT-4 to simplify smart contract creation for Web3 developers . layer 1 AI blockchain Web3 developers The aelf infrastructure, consisting of a customisable multi-chain structure, is designed to power the future of decentralised applications, especially in the AI space. With its innovative AEDPoS consensus mechanism and focus on scalability, aelf is paving the way for a seamless convergence of AI and blockchain, and in turn, compelling Web3 solutions to be applied to the real world. *Disclaimer: The information provided on this blog does not constitute investment advice, financial advice, trading advice, or any other form of professional advice. aelf makes no guarantees or warranties about the accuracy, completeness, or timeliness of the information on this blog. You should not make any investment decisions based solely on the information provided on this blog. You should always consult with a qualified financial or legal advisor before making any investment decisions. *Disclaimer: The information provided on this blog does not constitute investment advice, financial advice, trading advice, or any other form of professional advice. aelf makes no guarantees or warranties about the accuracy, completeness, or timeliness of the information on this blog. You should not make any investment decisions based solely on the information provided on this blog. You should always consult with a qualified financial or legal advisor before making any investment decisions. *Disclaimer: The information provided on this blog does not constitute investment advice, financial advice, trading advice, or any other form of professional advice. aelf makes no guarantees or warranties about the accuracy, completeness, or timeliness of the information on this blog. You should not make any investment decisions based solely on the information provided on this blog. You should always consult with a qualified financial or legal advisor before making any investment decisions. About aelf aelf, an AI-enhanced Layer 1 blockchain network, leverages the robust C# programming language for efficiency and scalability across its sophisticated multi-layered architecture. Founded in 2017 with its global hub in Singapore, aelf is a pioneer in the industry, leading Asia in evolving blockchain with state-of-the-art AI integration and modular Layer 2 ZK Rollup technology, ensuring an efficient, low-cost, and highly secure platform that is both developer and end-user friendly. Aligned with its progressive vision, aelf is committed to fostering innovation within its ecosystem and advancing Web3 and AI technology adoption. For more information about aelf, please refer to our Whitepaper V2.0 . Whitepaper V2.0 Stay connected with our community: Website | X | Telegram | Discord Website X Telegram Discord