AI and Web3: from data, NFTs to resource payments
With the popularity of major AI models, the integration of AI and Web3 has become a hot area in the crypto asset market. These two technologies have exploded their potential in the field of "data". " application level. financial potential.
The basis of the popular fried chicken artificial intelligence natural language large model is the "three calculations", one of which is calculus. In theory, the larger the data set provided to a large model, the better the results after effective training and the stronger the learning and prediction capabilities. Web3's underlying blockchain technology is essentially a distributed database and chain structure that encapsulates data in a time series that makes the data impossible to tamper with.
Both can have complementary advantages. The Web3 blockchain can store data securely. As a type of ledger, its "distributed storage and computation" properties can provide price and authenticity guarantees for AI calculations, and AI can improve the efficiency of transactions block chain.
One example is the automation of on-chain transactions, which can be applied to the crypto asset market. AI algorithms driven by machine learning can monitor market movements, analyze large-scale data, find patterns and trends, and execute trades according to predetermined standards.
AI can also be applied to blockchain security, using machine learning algorithms to examine transaction data, look for suspicious trends or anomalies, and continuously learn from data to avoid risks. new.
Although both AI and Web3 are currently in their infancy, AI and Web3 are considered to have the potential to bring changes to Web3 and even the crypto asset market. A report from Fortune Business Insights shows that the artificial intelligence market for blockchain was 220.5 million USD in 2020 and could reach 973.6 million USD by 2027, with a compound annual growth rate of 23.6 %.
Reviewing AI+Web3 projects, it is not difficult to see that the top 8 projects today mainly have the characteristics of "AI improves productivity" and have applied large AI models and machine learning capabilities to the classroom. Bottom of Web3 Technical base or specific applications include:
Apply AI cross-modal generation (AIGC) capabilities to NFT creation
This blockchain artificial intelligence solution can not only provide popular AI chat and text content generation capabilities in the Web2 world. robot function, it is also an NFT generator; Another example is Aspecta, which builds an identity system generated by artificial intelligence, linking Web2 and Web3 accounts through Aspecta ID, forming community connections based on the owner's experience and knowledge. account, and access various DAOs and applications.
For the clearest combination of "data", there are projects that use the distributed characteristics of blockchain to solve the problem of data monopoly.
For example, Bagel Network, the company that created the "machine learning data lake" concept, allows users to store all structured and unstructured data at any scale, supporting data scientists. Data and AI engineers at low cost and acquire/exchange authorized and verifiable data sets in a privacy-preserving manner.
The purpose of Bagel Network is to build a decentralized data platform to support machine learning (ML) models. There are also many new projects that directly apply AI capabilities to Web3's most advanced financial applications, including the field of crypto asset trading and settlement. For example, GT Protocol is an AI execution protocol for crypto assets incubated by ChainGPT. It allows any entity or individual to create DeFi smart contract pools and use AI to collect and manage user-contributed liquidity.
On the one hand, it takes advantage of the automation capabilities of AI, on the other hand, it also takes advantage of the transparency features of on-chain smart contracts.
It is foreseeable that in 2024, major models and applications around AI will continue to develop in an endless trend, and Web3, a world that likes to pursue hot topics, will also continue to follow. Hot topic about AI. The development and integration of the two technologies will also increase the size of the AI sector of the crypto asset market. .
