What are some gaps between Web2 and Web3, and what is 0G Labs doing to address these?
There is a significant gap in AI between Web2 and Web3. In Web2, AI is centralised and opaque, with data and models kept private. Conversely, Web3 is decentralised and transparent, but AI has been impractical due to infrastructure limitations.
0G Labs is developing a scalable data storage and availability solution, enabling vast databases to be stored on-chain and quickly queried. This infrastructure can be used by anyone to build and contribute to AI models with data, computing power, and expertise, earning rewards in return.
How does the 0G ecosystem benefit from an architecture designed for broad application support instead of specific data segmentation?
By addressing one of Web3′s major challenges—on-chain AI—0G Labs has created infrastructure capable of supporting various on-chain applications. This includes those needing fast, interoperable data storage with built-in data availability. Applications benefiting from this include Rollups-as-a-Service, Layer 2s, AI projects (like AI Agent platforms), and fully on-chain games.
The community feedback has been overwhelmingly positive. Developers are building a variety of applications, including Rollups-as-a-Service, Layer 2s, AI and AI Agent platforms, and fully on-chain games.
How does 0G achieve horizontal scalability without network congestion or bottleneck issues?
0G utilises consensus networks to confirm data availability. As network demand grows, additional consensus networks can be added through “shared staking.” This means validators stake on a main chain (such as Ethereum) and validate other networks. Rewards or penalties on a separate chain impact the main chain, bolstering scalability.
What steps is 0G Labs taking to ensure validators and users maintain network integrity following the launch of Nestnet Newton v2?
Validator applicants must provide details such as their Discord ID, validator address, and storage node IP addresses. We monitor their uptime and contributions. On the user side, our storage system tracks data ownership and timestamps, enabling us to identify and prevent data forking and plagiarism.