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AGIX, OCEAN, and FET Tokens Merged into a Single Cryptocurrency

Aug 28, 2024
  1. Formation of the Unified Token: A Step Toward Decentralized AI
  2. Token Migration and Rebranding Process
  3. Future Phases and ASI Deployment

The AI Alliance, consisting of SingularityNET, Fetch.ai, and Ocean Protocol, has announced the merger of their tokens (AGIX, OCEAN, and FET) into a single cryptocurrency. This move aims to create a decentralized AI ecosystem, improve collaboration, and enhance efficiency in AI development.

Formation of the Unified Token: A Step Toward Decentralized AI

On July 1, 2024, the AI Alliance unveiled the merger of AGIX, OCEAN, and FET tokens into a single cryptocurrency, marking a significant step toward creating an efficient and ethical AI ecosystem. By pooling resources and expertise from SingularityNET, Fetch.ai, and Ocean Protocol, the Alliance aims to create a decentralized and transparent AI landscape.

Token Migration and Rebranding Process

The unified token, represented by $FET, will see uninterrupted trading as it rebrands across major platforms like CoinMarketCap and CoinGecko. The migration platform, now active on SingularityDAO dApp, initiates the delisting of $AGIX and $OCEAN from exchanges. The first phase focuses on smoothly onboarding exchanges and data aggregators.

The migration process is a significant step towards improving interaction within decentralized AI.AI Alliance Representative

Future Phases and ASI Deployment

The second phase of this initiative will focus on community onboarding and the deployment of ASI tokens across various blockchains with an emphasis on self-custody holders. New migration contracts will be available for unconverted $AGIX and $OCEAN tokens and EVM-based $FET tokens. All FET Mainnet Tokens will automatically convert to ASI during Fetch.ai's main net upgrade.

The merger of AGIX, OCEAN, and FET tokens into a single cryptocurrency reflects the AI Alliance's commitment to advancing safe and ethical AI. This collaboration aims to enhance operational efficiency, integrate decentralized AI systems, and set new industry standards.

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