SonicSVM launches Staking plan and launches the first cross-chain AI proxy platform with Injective

西格玛学长2025/01/08 07:17

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On January 8th, SonicSVM announced the official launch of its $SONIC token staking program. Users can participate through the official website stake.sonic.game and enjoy up to 30% annualized rate of return (APR). The staking includes two modes:

Wallet Staking: Users can directly stake SONIC tokens from their personal wallets.

Airdrop Pledge: Support unclaimed SONIC Airdrop Pledge (to be launched soon).

SonicSVM emphasizes that by staking $SONIC, users can not only obtain stable income, but also participate in the growth of the ecosystem, including supporting game developers, ecosystem expansion, and node governance. At the same time, stakers will unlock more features and participate in future integration projects, such as token swaps and GameFi activities.

In addition, on January 7th, SonicSVM and Injective jointly launched the first cross-chain AI proxy platform. The new platform supports developers to build cross-chain AI proxies based on Solana and Injective, paving the way for future multi-VM (virtual machine) applications. Through Injective's AI proxy SDK (iAgent), developers can easily create multi-functional AI proxies and support mainstream virtual machines such as EVM, SVM, and WASM.

Highlights:

Cross-chain integration: This platform enables AI agents to perform any autonomous function across chains through a unified framework.

Testnet deployment: The first phase of test deployment is expected to be launched first on Injective, and users can learn more information and participate in early test versions through official channels.

SonicSVM's upgrade will further consolidate its leading position in the AI and Web3 ecosystem, providing developers and users with more innovative possibilities.

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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