Understanding Autonomys Network: A Comprehensive Overview
Key Insights
1. Autonomys Network provides the infrastructure required for AI3.0 applications by utilising a modular blockchain architecture based on the Subspace Protocol DSN
2. Autonomys Network uses a multi-layered Distributed Storage Network (DSN), modular domains, data sharding, and Decoupled Execution (DecEx) to achieve great scalability. AI Agents may also store and retrieve data straight from the blockchain thanks to the DSN.
3. Auto ID and Auto Score establish a self-sovereign identity framework and a proof-of-personhood method to enable verified human-AI interactions.
4. Space Acres makes it easy to participate in the Autonomys Network by providing a simple program that allows anyone to run a Farmer node on their computer and earn AI3 tokens.
Introduction
Autonomys Network is consistent with Nakamoto's goal of a permissionless and secure blockchain, as it wants to use this vision to construct AI3.0 infrastructure as a public benefit.The Autonomys Network, created with the Subspace Protocol, is designed to serve as a foundation for AI3.0 by providing the infrastructure and technologies required to support this evolution.Autonomys handles issues such as scalability, security, data provenance, and user control.
Background
Jeremiah Wagstaff and Nazar Mokrynskyi, co-founders of Autonomys Network, developed the Subspace Protocol during a three-year period. The Subspace Protocol enabled Web3 users to have persistent decentralised storage.Autonomys Network has had seven testnets, with over 100,000 Farmers (participants) promising over 180 PiB of storage.
Technology
Autonomys Network Stack
Autonomys Network employs a modular blockchain architecture that is divided into four major components: (i) the decentralised application (dApp) layer, (ii) decoupled execution domains, (iii) the consensus layer, and (iv) storage layer.Autonomys Network's modular architecture includes features like Decoupled Execution (DecEx), domains, interoperability, data sharding, and an open-source AI directory.