Executable Web 3.0 Revisited

Executable Web 3.0 Revisited: Transformative Pathways to a Decentralised AI

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Within the NetX framework, micro-services from different Service Providers proactively seek out essential functionalities and data sources across the network, fostering a dynamic environment where they can continuously expand their capabilities through collaboration and data access. This spirit of collaboration extends to data sources, which actively participate in the ecosystem by making their data available to micro-services in need. Data Owners leverage the network's capabilities to ensure their data is discoverable and usable by relevant micro-services, facilitating innovation and advanced application development. This approach aligns with the Semantic Web or Web 3.0 principles, promoting interoperability, data integration, and automated reasoning. It contributes to the evolution of the web into a more intelligent and interconnected digital landscape where data and services interact seamlessly, benefiting users and businesses alike.

Furthermore, NetX's micro-service and data ecosystem operates analogously to a decentralised neural network. In this ecosystem, each micro-service plays a role similar to that of a neuron. These micro-services actively seek out, interact with, and connect with other micro-services, mirroring how neurons in a biological neural network communicate and establish synapses. When a micro-service receives a request, it not only processes the task itself but also reaches out to other micro-services with which it has established connections when necessary. Simultaneously, it explores potential new connections with micro-services that better fulfil the request. This dynamic interaction and collaboration among micro-services mimic the interconnected nature of neurons in a biological neural network, where neurons send signals to multiple other neurons to process and interpret information collectively. As the micro-services within NetX collaborate and provide responses, they engage in a consensus-building process to validate the correctness of the results. This consensus-building involves rewarding the most effective micro-services and adjusting their connections based on performance. This iterative and self-regulating mechanism not only optimises connections within the entire network but also entails replacing obsolete micro-services and terminating unnecessary connections. Simultaneously, it fosters the creation of more capable micro-services and reinforces valuable connections, ensuring the network's continual enhancement and adaptability.

The NetX network's decentralised infrastructure, comprising computing and data resources, micro-services, and governance, envisions the creation of an Internet-scale fully decentralised AI ecosystem. This ground-breaking concept redistributes ownership and control, fostering collaboration among diverse participants and democratising access to AI capabilities. It promotes data accessibility, decentralised training, and community-driven governance, ensuring inclusivity and equitable access to AI resources for people worldwide. This vision represents a monumental step towards harnessing the full potential of AI as a worldwide public utility. It aims to serve the diverse needs of individuals and organisations, fundamentally reshaping the AI landscape and ushering in an era of Trustworthy and Reliable Intelligent Autonomous Systems (TRAIS). This paradigm shift emphasises inclusivity, equitable access, and community-driven governance in the AI ecosystem, paving the way for a more interconnected and intelligent future.