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What’s New in Decentralized AI: The Graph Launches GRC-20, FET Staking Platform and More

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Updated by Harsh Notariya
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In Brief

  • The Graph launches GRC-20 standard to standardize blockchain data for Web3, enhancing interoperability and replacing outdated frameworks.
  • NEAR Protocol becomes compatible with MetaMask to simplify access to its AI-powered dApps and broaden cross-chain interaction.
  • ASI Alliance unveils FET staking platform, ASI Train, which enables token holders to stake for rewards, advancing AI in decentralized ecosystems.
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AI crypto projects have been transforming the blockchain industry throughout this year, using automated data analysis and decision-making processes for smarter and more efficient decentralized systems.

Here’s what is new in AI for crypto and blockchain: The Graph introduces a new data standard, NEAR Protocol becomes compatible with MetaMask, and ASI Alliance announces a new staking platform. 

The Graph Protocol Introduced GRC-20 Data Standard

The Graph Protocol, which uses AI for improving decentralized indexing and querying capabilities for blockchain data, has introduced a new data standard called ‘GRC-20’. 

The standard could potentially replace traditional frameworks like the Resource Description Framework (RDF), which is less suited to Web3’s decentralized nature. 

The Graph GRC-20
The GRC-20 Standard Explained. Source: Yaniv Tal, Cofounder of The Graph

Overall, GRC-20 provides a common language for knowledge. It will allow developers to build interoperable applications that can evolve with the dynamics of Web3 technologies. 

“Just as ERC-20 standardized value on Ethereum, GRC-20 will standardize data, information & knowledge and bring web3 to life,” The Graph wrote on X (formerly Twitter). 

Following the announcement on November 21, The Graph’s GRT token surged nearly 12%. 

NEAR Protocol Is Now Compatible with MetaMask

NEAR Protocol, the blockchain network that supports AI-powered dApps, is now compatible with the crypto wallet MetaMask. Users can now interact with NEAR applications directly through the MetaMask wallet.

Notably, this integration is part of MetaMask’s Snap ecosystem, which extends its functionality to support non-EVM (Ethereum Virtual Machine) blockchains like NEAR. 

Also, the NEAR Snap will allow MetaMask to interact with and sign transactions on NEAR, Solana, Cosmos, Tezos, Bitcoin, Sui, Aptos, Algorand, and others. 

“Whether you’re a DeFi degen, an NFT aficionado, or a meme hunter, gone are the days of juggling multiple wallets. With NEAR’s Chain Abstracted future, you’ll be able to use your Ethereum wallet to unlock the entirety of Web3,” NEAR Protocol wrote on X (formerly Twitter). 

NEAR remains the largest AI token by market cap, according to CoinGecko. The token has gained strong momentum throughout this year, gaining nearly 250% since January. 

NEAR protocol price
NEAR Price Performance. Source: BeInCrypto

Artificial Superintelligence Alliance Announces Details for its FET Staking Model 

Artificial Superintelligence Alliance (ASI Alliance) has announced details for its staking platform, ASI Train. It will use a unique staking model for FET tokens. 

According to the project, investors will be able to stake their FET tokens and earn rewards. It will help support the development of AI models across various industries.

“ASI: Train will allow FET holders to secure AI foundation models by locking tokens and participate in their economic potential. Foundation models are large-scale, pre-trained machine learning models that offer a starting point for diverse scientific purposes. They’re trained and access a variety of large datasets to specialize on a segment of a certain area,” ASI Alliance wrote on X( formerly Twitter). 

ASI Alliance is a collaborative initiative formed by Fetch.ai, SingularityNET, and Ocean Protocol. Established in March 2024, the alliance aims to advance decentralized AI research and development. 

Following the establishment of this alliance, the FET token reached an all-time high of $3.45 back in March. 

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Mohammad Shahid
Mohammad Shahid is an experienced crypto journalist with a specialization in blockchain security. He covers a wide range of topics spanning everything from Web3 to retail crypto. As an experienced freelance journalist, he has worked on campaigns for several tier-1 exchanges, such as Bitget, and startups, including RankFi and HAQQ. Mohammad comes from an extensive technical background, with a master’s degree in Cyber Security Analysis from Macquarie University, where he majored in...
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