Because many use cases for data infrastructure and intelligence use a decentralized approach to provide AI functions, blockchain-based data infrastructure will help AI. In just two months after its launch, ChatGPT had 100 million unique users thanks to its rapid growth. Another innovative technology that is gaining popularity is blockchain. But there is still a long way to go for both of these technologies. In this metaverse news, let’s take a look at how blockchain-based data helped AI.
Decentralized AI and data storage
Decentralized AI’s future depends heavily on data storage because centralized blockchain projects may encounter issues with infrastructure, governance, or legal requirements. Blockchain projects will need to distribute their processing and storage capacity over time to lower these risks. As a result, there will be less chance of a single point of failure at a key location. Decentralized storage solutions now have a chance to improve the ecosystem by increasing its scalability and stability.
The future of decentralized AI will rely heavily on decentralized data storage. A document will be kept on numerous computers and servers around the world. The file may be divided up, encrypted, and kept on various servers. Private keys serve as the first layer of security, and distributed storage serves as the second. Large-scale initiatives in the decentralized storage area include Filecoin, Arweave, Crust, Sia, and StorJ.
Decentralized storage, however, still has a ways to go. Facebook generates 4,096 terabytes (TB) of data every day, but Arweave has only processed about 122 TB of data overall. Decentralized storage solutions now have a chance to improve the ecosystem by increasing its scalability and stability.
Data transfer is the following significant use case on the data stack that can benefit from decentralization. Centralized application programming interfaces (APIs) are still compatible with AI applications, but they would be less effective if there was a vector of centralization anywhere in the data stack. Decentralized oracle networks (DONs), which have numerous nodes that offer high-quality data and establish decentralization from beginning to end, may be a way to send data securely.
Benefits of AI for businesses
The blockchain industry has made extensive use of oracles, and various oracle types have influenced how data is transferred. The data intelligence layer is where all the infrastructure work done to store, share, and process data is combined.
Investors now have access to robo-advisory tools thanks to advances in artificial intelligence and machine learning in the fintech industry. Platforms gather data from social media, market prices, the overall state of the economy, and other sources to produce user-specific insights. Bitcoin Loophole and Numerai both demonstrate how AI is used in this way.
The network effect between developers who create AI solutions and users and organizations that use these solutions is the lifeblood of a decentralized AI market. These apps include SingularityNET and http://Fetch.ai, to name just two examples. On SingularityNET and http://Fetch.ai, developers create and share solutions that businesses and other platform users can access through APIs. The entire data platform’s economic layer is based on a blockchain, making it possible to monitor usage and oversee smart contract transactions.
NFT and metaverse insights
Projects involving AI and decentralized data could benefit from using metaverses and nonfungible tokens (NFTs). Although many Web3 users have considered their NFTs to be their social identities, companies like Yuga Labs have taken things a step further. However, in today’s metaverses, digital avatars are not intelligent and do not resemble the users in any way.
NFT avatars are being created with intelligence so they can pick up knowledge from their users. Two businesses developing AI tools that will give metaverse avatars intelligence are Matrix AI and Althea AI. To create intelligent NFTs (iNFTs) that can use machine learning to learn how to respond to basic user cues, Matrix AI is developing a decentralized protocol.
Developers can create, practice, and profit from their iNFTs thanks to the iNFT protocol. The true litmus test is user adoption. Only then can we be certain that these platforms help users with their problems?
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