This episode of Hook on Web Free Mastery Space features a discussion on pioneering modular AI chains for infinite scalability with Zero Gravity Labs. Ming, the Co-Founder and CTO of Zero Gravity Labs, shares insights into their innovative blockchain infrastructure designed to support high performance applications like on-chain AI gaming and decentralized finance. Key components include a decentralized storage network, a unique consensus protocol, and a scalable data availability layer.

Pioneering Modular AI Chains for Infinite Scalability

Claire (Host)

Claire begins the discussion, introducing the exciting collaboration between Hook Protocol and Zero Gravity Labs. The main topic for the session is the innovative use of AI and blockchain technology, focusing on infinite scalability through modular AI chains.

Ming (Co-Founder and CTO of Zero Gravity Labs)

Ming shares his professional background, including his tenure at Microsoft Research Asia and the creation of the high-performance consensus protocol, Conflux. He explains the concept of Zero Gravity Labs (Zero G), a decentralized data solution with infinite scalability for applications requiring massive data throughput. He highlights its three major components: a decentralized storage network, a consensus protocol, and a data availability layer.

Discussion on Zero G's Technological Components

• Decentralized Storage Network: Ming details the incentive mechanisms and the proof-of-storage concept. Each storage node participates in verifying and storing data, submitting proofs to a smart contract on the Zero G blockchain.
• Consensus Protocol: The use of multiple independent consensus protocols running simultaneously ensures scalability and security. Validators share the same staking status, leveraging existing capital from networks like Ethereum to secure the system.
• Data Availability Layer: Ming explains how Zero G employs error-coding and partitioning mechanisms for scalable data storage and retrieval.

Integration with AI and Blockchain

Ming discusses the challenges of integrating AI with blockchain, emphasizing the need for scalable data solutions that maintain decentralization and security. He outlines how Zero G can support large AI models and data engineering tasks, positioning itself as an ideal platform for AI-driven applications.

Ecosystem and Partnerships

• Public Chain Connections: Ming mentions plans to connect Zero G with prominent blockchains such as Ethereum, Polygon, and Solana. The focus is on creating valuable interactions between ecosystems.
• Application Support: Zero G is actively engaging with projects in various niches like AI and gaming. Ming highlights collaborations and the test network's readiness to support scalable applications.

Community Engagement and Future Developments

• Incubation Programs: Zero G is planning several incubation and accelerator programs to foster AI applications on its platform.
• Test Network Expansion: The upcoming Newton v2 test network will showcase advanced partitioning mechanisms and data availability capabilities, integrating with existing layer 2 solutions.

Summary

The discussion concludes with an emphasis on the potential of Zero G to revolutionize data scalability in AI and blockchain applications. Claire and Ming encourage the community to participate in upcoming events and leverage Zero G's capabilities for their projects.