The rise of ChatGPT can be called magnificent. Within two months of its launch, the app reached 100m individual users based on artificial intelligence (AI). In January 2023 alone, ChatGPT applied for about 590 million visits.

In addition to artificial intelligence, blockchain is another disruptive innovation that is being adopted by more and more people. Since the release of the BTC (BTC) white paper in 2008, the decentralized agreement content, application software and business operation model have been relatively mature and have achieved market attraction. More work needs to be done to promote the development of these two technologies, but the intersection of the two is undoubtedly exciting.

Although the hot spots revolve around artificial intelligence, a lot of things are carried out behind the scenes in order to create a strong data infrastructure to achieve valuable artificial intelligence. The inefficiency of low-quality data storage and sharing may lead to poor judgment of the intelligence and information layer. Therefore, overall data customer value is particularly important to identify what must be done to obtain high-quality data and use blockchain AI applications.

The important link is how Web3 technology enters the artificial intelligence industry in the industries of data storage, data transmission and data intelligence. Each of these data levels will benefit from decentralized expertise, and companies are committed to delivering them.

Data storage

It helps to understand why decentralized data storage is a key building block of decentralized artificial intelligence in the future. With the expansion of blockchain projects, each centralized carrier will haunt them. The new project of centralized block chain is likely to face the problems of rectification and collapse, control and ban in accordance with the law or infrastructure construction.

For example, the transfer of the chain from the proof of work unit to the proof of interest in Ethernet in September 2022 could have added a centralized carrier to the chain. Some people feel that key platforms and trading centers such as Lido and Coinbase have a large market share in the Ethernet Square betting market, making the Internet more and more centralized.

Another centralized medium for Etherum is its dependence on cloud storage on Amazon platform Internet Services (AWS). Therefore, the storage capacity of the blockchain project must be dispersed over time, so as to reduce the risk of a single centralized failure. Thus, it creates conditions for distributed storage servers to contribute to the ecosystem, and adds scalability and reliability.

But how does decentralized storage work?

The principle is to use multiple computers around the world to store text documents. To put it simply, a text document can be segmented, data encrypted and stored on different servers. Only the user of the text document will have the public key to find the data. During the search, the optimization algorithm acquires this independent part to present the text document to the user.

From the security point of view, the public key is the first layer of maintenance, and the distributed system is the second layer. If a connection point or network server on the Internet is hacked, you can only browse part of the data encrypted data file information.

The key projects in the distributed memory space are Filecoin, Arweave, Creat, Sia, and Storj.

However, decentralized storage is still in its infancy. Facebook generates 4PB (4096TB) data every day, while Arweave only solves about 122TB data. The cost of storing 1TB data on AWS is about $10, but on Arweave, the published cost is about $1350.

There is no doubt that decentralized storage still has a long way to go, but high-quality data storage can promote artificial intelligence for real-world use cases.

Data transmission

Data transfer is the last important test case in the local data variables that can benefit from the government procurement process. The data transfer of application centralized application programming interface (API) is still suitable for AI applications. However, adding a centralized space vector to any point in the data local variable will reduce its efficiency.

Once decentralized, the next project in data customer value is data transmission and data sharing-mainly through saints.

Oracle is a physical line that transmits blockchain to external data sources, so that blockchain intelligent contracts can be plugged into real-world data and make trading management decisions.

However, Oracle is one of the most vulnerable parts of the data system architecture, which has been attacked comprehensively and successfully by network hackers over the years. In a recent example, the Bonq agreement suffered $120 million in damage as a result of Oracle hacking.

In addition to intelligent contracts and cross-chain highway bridge hacking, Oracle writing system vulnerabilities have been readily available to Internet suspects. This is due to the lack of a decentralized data transfer infrastructure agreement.

Decentralized Oracle network (Don) is an implicit solution for secure data transmission. DON has several connection points that provide high-quality data and develop end-to-end decentralization.

Oracle bone inscriptions have been widely used in block chain industry, and different kinds of oracle bone inscriptions contribute to the data transmission system.

There are saints who type, export, cross-chain and support calculations. Each of them has its own purpose in the data board diagram.

Type Oracle to bring the data from the offline data source and verify it to the blockchain for intelligent contract application. Export sage to allow blockchain intelligent contracts with data off-chain theme activities and open some practical operations. Cross-chain saints transfer data between these two block chains-which should be the most basic with the improvement of block chain interoperability-while calculated saints apply off-chain measurement to provide decentralized services.

Although Chainlink has been a pioneer in the development and design of block chain data transfer Oracle technology, protocols such as Nest and Band also provide decentralized Oracle. In addition to relying solely on the content of the blockchain agreement, channels such as Chain API and CryptoAPI bring API of data outside the security consumption chain to Dons.

Data intellectualization

The data intelligence information layer is a diligent and successful area for storing, sharing and processing all the infrastructure in the data. Applications that apply AI can still get data from past API according to blockchain applications. However, this will increase a certain degree of concentration and may affect the scalability of the final solution.

However, many applications in login passwords and block chains already use machine learning algorithms and artificial intelligence.

Trade and investment

For many years, machine learning algorithms and artificial intelligence have been used within Internet finance to provide intelligent robot information for investors. Web3 gets its inspiration from some artificial intelligence applications. The service platform obtains data from substitution data such as price quotes, macroeconomic policy data and social networks, resulting in insight into users.

The user generally sets his risk and benefit estimates, and the proposal on the artificial intelligence platform is still within the range of this main parameter. The data needed to give this view comes from the artificial intelligence service platform that applies Oracle.

BTC system vulnerabilities and Numerai are examples of such artificial intelligence test cases. BTC system vulnerability is a kind of application software that uses artificial intelligence to give trading signals to users of the service platform. It claims to have a pass rate of more than 85%.

Numerai claims that it believes in using blockchain and artificial intelligence to create "the last financial derivative in the world". And use artificial intelligence to collect data from different sources to control asset allocation, just like financial derivatives.

Artificial intelligence sales market

The decentralized artificial intelligence sales market has developed rapidly with the help of the network effect between the developers of the artificial intelligence solution built at one end and the users and management of the other end using the solution. Because of the decentralized nature of the application software, most of the business relationships and transactions among the stakeholders are intelligent by intelligent contracts.

Developers can be equipped with pricing strategies by importing them into smart contracts. Payment to the other party applies the cost of his solution can be based on data buying and selling, data insight, or only charging a fixed subscription fee for service life. There may also be a hybrid approach to price planning, with artificial intelligence solutions used to track applications online. Activities on the chain will open smart payments based on contracts using this solution.

SingularityNET and Fetch.ai are two examples of this kind of application. SingularityNET is a decentralized market for specialized tools for artificial intelligence. Developers create and announce that organizations and other website participants can apply solutions through API.

Similarly, Fetch.ai provides decentralized machine learning algorithm solutions to build modular design and reconfigurable solutions. Agents build point-to-point solutions on infrastructure here. The economic development layer on all the data platforms sits on the block chain and completes the application tracking and intelligent contract property rights transactions.

The Transformation of Natural language understanding and the intellectualization of Unreal World

Another test case with an opportunity is that dynamic passwords (NFT) and dummy objects cannot be changed. Since 2021, many Web3 users have used their NFT as Twitter profile pictures and NFT as their real identity on social media. Organizations like Yua Labs go a step further, allowing users to log in to the illusory world with their lonely Ape Yacht Club NFT avatars.

With the improvement of narrative in the illusory world, the use of NFT as an intelligent incarnation will increase. However, the information body of today's virtualization technology is not intelligent, and it has nothing in common with the personalization that users expect. This is the area where artificial intelligence can add value. Intelligent NFT is being developed so that NFT avatars can learn and train from users.

Matrix AI and Althea AI are two companies that develop and design artificial intelligence tools that can generate intelligence for virtualization technologies. The purpose of drainage matrix artificial intelligence is to create "incarnation into intelligence", or Avi. Its technology allows users to build virtualization technologies that are as close to them as possible.

Althea AIA decentralization agreement has been set up to build intelligent NFT (INFT). This NFT can learn to act on simple user alerts through machine learning algorithms. INFT will become the symbol of its name "Garden of Eden". Developers can use INFT protocols to build, train, and obtain their iNFT.

With the rise of ChatGPT, the representative prices of many artificial intelligence projects have also increased. However, the user adoption rate is the real paving stone, and only then can we ensure that such a platform overcomes the real problems for users. At this stage, the new project of artificial intelligence and decentralized data is still in its infancy, but it is in its infancy and looks promising.