Origins Network announced a strategic partnership with Conflux Network to bridge the gap between AI & next-gen internet. Together, they will build an infrastructure scalable for autonomous AI networks so that agents can transact with each other, compute securely & coordinate seamlessly on-chain without human friction.
The Rise of Autonomous On-Chain Execution
Blockchain has mostly been used for transactions between people or between people and smart contracts. But with the rise of many decentralized networks all over the world, we are now entering a time of Machine Intelligence. AI agents are increasingly using larger amounts of capital to interact with DeFi protocols and manage digital assets for the benefit of users.
According to the Origins Network, the ability of on-chain execution in the future will be driven mainly by an infrastructure that supports scalable coordination, cross-ecosystem interoperability, and verifiable computation. Due to self-sufficient artificial systems based on linear layer-1 frameworks, there will be large bottlenecks created by these passive and self-sufficient systems. The goal of this partnership is to build the infrastructure necessary for these types of systems to perform high-return complexity functions and provide these systems with a safe environment to operate in.
Leveraging Conflux’s Tree-Graph Architecture
Conflux Network uses a unique technology called hybrid Tree-Graph consensus model to provide an extremely efficient public blockchain. This unique architecture allows the network to operate block and transaction processing simultaneously, allowing for greater scalability and higher throughput. Because of its unique architecture design, Conflux Network has the capability to process approximately 3K-4K transactions per second while avoiding large gas fees associated with typical blockchains.
Origins’ AI-centric protocols improve the speed of the Conflux rapid process platform for validated computation via sovereign and efficient machine learning resources. The ability of developers to pay for the transaction costs incurred by their users (or agents) will create complete processing capabilities to establish an environment where algorithmic autonomy can thrive as part of the inherent fee sponsorship model provided by Conflux.
Mirroring the Macro Trend of AI-Native Web3 Paradigms
Origins and Conflux Network are exemplifying an overall shift in the technology sector. This is driven by the fact that machine learning has undergone a major evolution from being experimented with as “add-on” solutions to becoming a fundamental component of how all organizations implement vertical processes.
The current developments in the industry demonstrate the similarity between this partnership and other recent advances. Platforms are adopting specialized payments systems more frequently that let machine intelligence run queries to resolve financial transactions autonomously. Origins and Conflux have developed dedicated, cross-platform interoperability channels so that AI-native networks can share telemetry data, and state execution frameworks securely between multiple environments.
Conclusion
This partnership represents an important foundation to create specific and sustainable decentralized cloud computing which will be essential for machine sovereignty. Origins’ focus on providing a verifiable computation base, combined with Conflux’s scalable and regulatory compliance parallel processing platform, will result in an automated Web3. Autonomous agents will increasingly be responsible for on-chain data transfers, which means that demand for these types of specific frameworks will be the driving force for the next major cycle of innovation of blockchain technology.
