Crypto Goes AI: 3 Early Projects to Keep an Eye On

Analyzing the Main AI Crypto Projects.

Cryptocurrencies continue their rapid development and are rightly considered one of the most significant technological achievements of the 21st century. At the end of 2022, the world's attention was drawn to a new trend – the use of artificial intelligence (AI), which set a new course for technological progress. AI has already found its application in various fields, such as law and medicine, but in this article, we will consider its possibilities in the crypto industry.

Disclaimer: All information is presented solely for educational purposes and is not investment or financial advice. DYOR.

CryptoGPT

CryptoGPT tackles several promising areas at once, including artificial intelligence, ZK-rollups, and the new format of earning from data called “AI-to-Earn”. In general, it is a complete package of trending projects in 2023.

What is CryptoGPT?

CryptoGPT is a ZK L2 solution based on artificial intelligence. According to the developers, its growth began in Q3 2022.

The developers are working on a decentralized protocol for massive codebase libraries. It is a platform that simplifies the exchange of information between developers and users, acting as a mediator.

CryptoGPT is a startup that considers itself a revolution in the data processing industry. They offer a new earnings model called "AI to Earn," based on the use of artificial intelligence.

How can users earn from their personal data?

• By selling their data to medical companies, educational projects, or other users.
• By allowing the use of their data to improve neural networks and create new applications.

Additionally, the future ecosystem will enable the storage and processing of large volumes of data using AI while ensuring the user's safety and confidentiality.

The ecosystem is designed to store and process large volumes of data using AI, while ensuring user safety and confidentiality. This is achieved through the use of zero-knowledge data transfer technology and proprietary algorithms. It is also worth noting that all data will be stored and transferred in the form of NFTs – Data Capsule NFTs. The project is currently in the testnet stage and plans to move into the mainnet stage in Q2 2022. By the way, there are already applications deployed in the network with a total of more than 2 million users, which is currently the highest among competitors.

ChainGPT

This is a young project, and unlike CryptoGPT, it is more similar to the already established classic ChatGPT, but designed for the crypto-natives.

What is ChainGPT?

ChainGPT is a language model similar to ChatGPT, intending to make blockchain more accessible.

It offers a wide range of use cases, such as smart contract development without knowledge of programming languages, risk management, market analysis, blockchain analytics, decryption of existing code, AI auditor of smart contracts, and an automated news source. Currently, the project is in the beta testing phase, with an official release planned for Q2-Q3 2023.

ChainGPT plans to release its own blockchain, the EVM of which will represent a unique compatibility of EVM and on-chain analysis-derived outputs. It will be designed for the development of decentralized AI applications on the blockchain. In addition, the launch of an L2 blockchain based on zkRollup is expected in Q2 2023. It is designed to scale decentralized applications and AI models on top of the L1 ChainGPT blockchain to reduce transaction costs.

Fetch.Ai

What is Fetch?

Fetch (FET) is a blockchain platform that aims to provide a decentralized infrastructure for creating and deploying decentralized applications (dApps). Fetch uses innovative technologies such as artificial intelligence (AI) and machine learning (ML) to improve the performance and scalability of its platform.

One of the key features of Fetch is the ability to easily create and deploy decentralized applications, as the platform provides a wide range of tools and APIs for developers. Additionally, Fetch's technology is designed to provide seamless data exchange between different dApps, thereby promoting interaction within the blockchain ecosystem.

AI role

Fetch (FET) incorporates machine learning and artificial intelligence into all levels of its protocol. They are used to provide trust information across four different layers:

• Trust in how normal the transaction is perceived.
• Trust in the information received from other nodes in the network.
• Trust in the parties involved in a transaction based on their history.
• The intelligence of an evolving market and data.

To implement each of the above-mentioned layers, Fetch uses deep learning methods. The platform employs process mining, long short-term memory, and recurrent neural networks. By utilizing these natural language processing deep learning methods, Fetch is able to predict future authenticity by evaluating the past behavior of Autonomous Economic Agents (AEAs) in the system.

In this article, we have presented three projects at the intersection of AI and blockchain technologies that deserve your attention and further analysis. This is an auspicious direction, and we will see the fruits of its development during the upcoming bull run of 2024-2025.

And to learn about trends that will become the starting point for market growth in advance, come to the main crypto event of the year – the Blockchain Life 2023 forum in Dubai.

Buy a ticket at presale price: https://blockchain-life.com/asia/en/